Data Engineer jobs at Meru Health

A leading innovator in advanced laser technology is seeking a Software Engineer to join their growing Rochester engineering hub. This is a rare opportunity to work hands-on with cutting-edge scientific systems while building software that directly impacts real-world research, industrial applications, and next-generation engineered products. In this role, you'll collaborate closely with engineers, scientists, operations teams and business stakeholders to design, develop, and maintain a wide range of internal and product-level software tools. Your work will span intuitive user interfaces, automation solutions, data and KPI dashboards, and software that interacts with highly precise hardware systems. What you'll work on: • Building Python-based software for internal tools and product control systems • Creating user-facing interfaces that make complex technology simple to operate • Interfacing software with hardware, instruments, and electronic components • Designing dashboards and analytics to support operational decision-making • Contributing to automation, motion control, and system-integration projects • Maintaining high code standards through documentation and version control • Partnering with multi-disciplinary teams to define scope, requirements, and delivery timelines What makes this opportunity exciting: • Work in a highly respected, innovation-driven environment shaping the future of photonics • Engage with a diverse mix of engineering, R&D, and technology functions daily • See your work directly influence scientific and commercial applications • Join a collaborative team that values curiosity, creativity, and continuous learning • Enjoy the benefits of an on-site role within one of Rochester's strongest high-tech communities Ideal background: • Solid software development experience with strong Python skills • Experience building customer-facing or GUI-based software • Familiarity with hardware or instrument interfacing, embedded systems, or automation is a plus • Exposure to analytics, dashboards, or BI tools is helpful • Bachelor's degree in a technical field; advanced degree welcome but not required Compensation: Competitive salary up to $95,000, based on experience.

We're seeking a Senior Software Engineer who thrives at the intersection of application development and DevOps. You'll design, build, and deploy scalable SaaS solutions for Medicare and Medicaid health plans, while also contributing to the automation, reliability, and security of our development lifecycle. This role is central to delivering high-quality features for our Compliance, Appeals & Grievances, and Universe Scrubber products. Key Responsibilities: · Application Development Design and implement backend services, APIs, and user interfaces using modern frameworks and cloud-native architecture. Ensure performance, scalability, and maintainability across the stack. · DevOps Integration Collaborate with infrastructure and DevOps teams to build and maintain CI/CD pipelines, automate deployments, and optimize environment provisioning across development, QA, and production. · Cloud-Native Engineering Develop and deploy applications on AWS, leveraging services like Lambda, ECS, RDS, and S3. Ensure solutions are secure, resilient, and compliant with healthcare regulations. · Quality & Compliance Write clean, testable code and participate in peer reviews, unit testing, and performance tuning. Ensure all software adheres to CMS, HIPAA, and internal compliance standards. · AI-Enabled Features Support integration of AI/ML capabilities into product workflows, such as intelligent routing of grievances or automated compliance checks. · Mentorship & Collaboration Provide technical guidance to junior engineers and collaborate with cross-functional teams to translate healthcare business needs into technical solutions. Qualifications: Bachelor's degree in computer science or related field 5+ years of experience in software development, with exposure to DevOps practices Proficiency in languages such as Java, Python, or C#, and experience with cloud platforms (preferably AWS) Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), infrastructure-as-code (e.g., Terraform, Ansible), and containerization (e.g., Docker, Kubernetes) Understanding of healthcare data formats (EDI, HL7, FHIR) and regulatory frameworks

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

At Nuna, our mission is to make high-quality healthcare affordable for everyone. We are dedicated to tackling one of our nation's biggest problems with ingenuity, creativity, and a keen moral compass. Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't-and why. Nuna has established its brand in the B2B space over the last decade by shifting the US healthcare system towards an incentive model that rewards healthcare providers for positive outcomes. Marshalling our collective backgrounds and insights, we are now crafting an innovative, consumer app - a clinically driven healthcare companion experience that leverages AI, gamification and social support techniques to improve outcomes for people with chronic conditions. As a sign of the impact Nuna has already made in this space, Nuna was recently selected to join the Centers for Medicare & Medicaid Services (CMS) Health Tech Ecosystem, a landmark public-private initiative designed to transform healthcare for Americans. YOUR TEAM The Data org at Nuna is an interdisciplinary group spanning data science, machine learning, data analytics, actuarial science, and research. The Data Engineer team is a core part of the broader Data organization, which is an interdisciplinary group spanning data science, machine learning, data analytics, actuarial science, and research. The Data Engineer team acts as the technical backbone for data architecture, platform development, and data operations, empowering the organization to deliver impactful data-driven solutions in healthcare. YOUR OPPORTUNITIES We are looking for someone who is excited to use their creativity and engineering skills to make a difference in healthcare. You will have a foundational role on a team building a consumer product that incentivizes healthy behavior. You will be responsible for the data architecture and direction of the data platform that powers our data operations and data science initiatives. Own the architecture and evolution of the data platform, based on business needs and considering trade-offs in timelines, cost, and resources Define and enforce standards for code development, contribution, and deployment for data engineering workflows. Oversee integrations with external services, including data ingestion, distribution, and service-to-service data flows. Contribute hands-on to data transformations and optimizations Establish security, governance, and operational best practices for the data platform in collaboration with security and enterprise data engineering teams. Curate and develop datasets needed to support Data org project deliverables Collaborate with cross-functional partners in engineering, design, and product to develop solutions Generate and prioritize new opportunities for improvements Provide build vs buy assessments and recommendations as the platform expands QUALIFICATIONS Required Qualifications Deep hands-on expertise in designing, coding, developing, and maintaining data platforms that support data analytics and data science use cases Proven ability to design, develop and implement robust data ingestion pipelines (ETL) from external sources into a data platform. Experience establishing standards for code development, deployment, and contributions in a data engineering environment. Ability to solicit and translate customer and business needs into requirements and an evaluation framework Interest in improving healthcare and working with interdisciplinary project teams Clear communication and presentation skills Experience with Databricks Expertise in data platform languages such as python, pyspark and SQL + 5-10 years of industry experience with technical lead experience of running a data platform for business operations Preferred Qualifications MS in quantitative field (e.g. Data Science, Economics, Statistics, Engineering) Experience building a data platform from zero to one Experience working with healthcare data Experience with SDLC and management of machine learning models (MLOps) Bonus points if experience with MLOps on LLM/GenAi features (evals, context building, …) We take into account an individual's qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company's equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $208,000 - $260,000. The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, years of experience, and skillset. Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status. #LI-FK1

12/24/25- Amended to include updated filing deadline Department: DataSF Job class: 1043 Senior Data Engineer Salary range: $153,686/year - $193,388/year Role type: Permanent Exempt Hours: Full-time (Hybrid work schedule) About: Permanent Exempt: This is an Exempt position excluded by the Charter from the competitive Civil Service examination process, pursuant to the City and County of San Francisco, Charter Section 10.104. It is considered "at will" and shall serve at the discretion of the Appointing Officer. Application Opening: Wednesday, November 19, 2025 Application Closing: Interested candidates are encouraged to apply as soon as possible, as this job announcement will close at any time, but not earlier than Friday, January 9, 2026 at 11:59pm As part of the application process, you must also complete a Supplemental Questionnaire using this link by the filing deadline: ************************************* The Office of the City Administrator and its 25+ divisions and departments operate core internal and public-facing services in San Francisco. The Office of the City Administrator's Mission and Vision Our vision is to lead the nation in public administration and to enable City departments to effectively deliver critical public services. We aim to help the city run better, to connect San Francisco residents and constituents to the vital public services they seek, and to create a meaningful and diverse work culture that is the place of choice for people who are invested in a career in public service. We are committed to ensuring that City services are inclusive, efficient, equitable, and culturally competent for San Franciscans of all races, ethnic backgrounds, religions, and sextual orientations. This commitment requires comprehensive review and thorough analysis of existing practices and policies to remove barriers to real inclusion. We are also committed to ensuring that we have a safe, equitable, and inclusive workplace for individuals of all races. This includes creating opportunities for hiring, promotion, training, and development, for all employees, including but not limited to, Black, Indigenous, and people of color (BIPOC). To learn more about our departments, divisions, and programs, visit: ********************************************* About DataSF: Want to build robust and scalable data infrastructure to power data-driven City services? Join the DataSF team to empower and expand the use of data in government! Company Description DataSF's mission is to transform the way San Francisco works with data. We believe that data, when harnessed effectively, can improve transparency, resident engagement, and government performance. We are committed to removing barriers and making it easier for all people to access services and knowledge, and we actively seek team members whose diverse life experiences reflect the residents we serve. Job Description DataSF is seeking a Senior Data Engineer with 3+ years of experience to join our growing team. Reporting to the Principal Data Engineer, you will be instrumental in designing, building, and maintaining the City's data infrastructure, enabling robust data pipelines and reliable data access for analytical and operational needs. This is an exciting position for someone eager to apply advanced data engineering techniques to complex urban challenges, contributing directly to San Francisco's commitment to efficient, equitable , and ethical service delivery. Learn more about DataSF's recent work on our blog . If you are an entrepreneurial and passionate data enthusiast, join our team to improve government through good use of data! Essential duties include, but are not limited to, the following: Platform Administration : Manage our central Snowflake data warehouse, including access control, security policies, resource monitoring, performance tuning, and cost optimization. Administer our platform with a focus on data democratization and accessibility, while protecting privacy and security. Pipeline Developmen t: Build and maintain scalable and resilient pipelines to ingest and structure data from diverse sources. Design infrastructure to support both streaming and batch processes, and both structured and unstructured data sources. Infrastructure as Code (IaC) : Use Terraform to define, deploy, and manage data infrastructure, ensuring our pipelines are reproducible, version-controlled, and production-ready. Best Practices & Innovation : Champion and implement best practices for documentation, data modeling, warehouse architecture, SQL optimization, and testing. Think creatively to find new ways to improve our data platform's capabilities and efficiency. Provide guidance to department partners on data engineering best practices. Collaboration : Work closely with data scientists, analysts, product managers, software engineers, and nontechnical stakeholders in diverse domains to understand data requirements and build solutions that meet their needs. Monitoring & Support : Proactively monitor the health of the data platform and pipelines, troubleshoot issues, and ensure high standards of data quality and availability. Desirable Qualifications Technical Knowledge Hands-on experience administering and developing on managed cloud data platforms such as Snowflake, BigQuery, or Databricks. Demonstrated expertise in writing advanced, performant SQL, and using tools like dbt for SQL-based data transformation and modeling. Strong programming skills in Python (with libraries like pandas, PySpark) for data processing and automation. Proficiency with an Infrastructure as Code tool, with a preference for Terraform. Experience building and deploying data pipelines using orchestration tools like Azure Data Factory, Airflow, Dagster, or similar technologies. Deep understanding of data warehousing concepts, data modeling, and modern ELT principles. Understanding of data governance, data security, and data privacy principles. Experience with real-time data streaming technologies (e.g., Kafka, Kinesis, Snowpipe). Experience deploying and managing data pipelines for machine learning models. Collaboration and Communication Skills Strong problem-solving skills with ability to design practical and effective data solutions Excellent verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders A collaborative mindset with enthusiasm to work across diverse, cross-functional teams Mission Alignment Commitment to equity, transparency, and ethical data use Passion for public service and using data to improve government services Empathy for San Francisco's diverse communities and a drive to make data and services and more accessible for SF residents Interest or experience in public sector data or social impact work Qualifications Education : An associate degree in computer science, computer engineering, information systems, or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units [i.e., at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in one of the fields above or a closely-related field]. Experience : Three (3) years of experience analyzing, installing, configuring, enhancing, and/or maintaining the components of an enterprise network. Substitution : Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units/ forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in one of the fields above or a closely related field. Completion of the 1010 Information Systems Trainee Program may be substituted for the required degree. Verification: Please make sure it is clear in your application exactly how you meet the minimum qualifications. Applicants will be required to submit verification of qualifying education and experience during the recruitment and selection process. For information on how to verify experience and/or education requirements, including verifying foreign education credits or degree equivalency, please visit Verification of Experience and/or Education. Note: Falsifying one's education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. Applicants must meet the minimum qualification requirement by the final application deadline unless otherwise noted. Additional Information Selection Procedures The selection process will include evaluation of applications in relation to minimum requirements and assessment of candidates' job-related knowledge, skills and abilities. Depending on the number of applicants, the Department may establish and implement additional screening mechanisms to evaluate candidate qualifications. This typically includes an oral interview and/or a written or performance exercise. If this becomes necessary, only those applicants whose qualifications most closely meet the Department needs will be invited to continue in the selection process. Applicants meeting the minimum requirements are not guaranteed advancement in the selection process. To find Departments which use this classification, please see: ************************************************************************************************************************** . Additional Information Regarding Employment with the City and County of San Francisco: Information About The Hiring Process Conviction History Employee Benefits Overview Equal Employment Opportunity Disaster Service Worker ADA Accommodation Veterans Preference Right to Work Copies of Application Documents Diversity Statement How to Apply: Applications for City and County of San Francisco jobs are only accepted through an online process. Visit ********************** and begin the application process. Interested candidates are encouraged to apply as soon as possible, as this job announcement will close at any time, but not before Friday, January 9, 2026 (11:59 PM, PST) Select the "Apply Now" button and follow instructions on the screen You MUST include a cover letter. As part of the application process, you must also complete a Supplemental Questionnaire using this link: ************************************* For best practices on the application process, please visit Apply for Jobs in the City and County of San Francisco Best Practices Guide. Applicants may be contacted by email about this announcement and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following ********************, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, ************************). Applicants will receive a confirmation email that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received. All your information will be kept confidential according to EEO guidelines. HR Analyst Information: If you have any questions regarding this recruitment or application process, please contact Debbie Yung at [email protected] Condition of Employment: The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law. The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law. The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-JB1 The Role Forward Deployed Data Engineers at Qventus collaborate directly with clients to identify their most critical data challenges and design scalable, high-performance pipelines and architectures to solve them. Our customers depend on Qventus' data infrastructure for mission-critical healthcare operations, and projects often start with broad, high-impact questions like, “How can we unify real-time surgical, staffing, and patient flow data into a single source of truth?” or “What's the most efficient way to process and serve operational data for instant decision-making?” As a Data Engineer, you'll combine technical expertise in large-scale data systems with a deep understanding of operational needs to create solutions that bridge the gap between raw data and actionable insights. You'll work closely with data scientists, software engineers, and product teams to ensure our data pipelines are robust, efficient, and ready to support advanced analytics, AI models, and production-grade applications. You'll operate in small, agile teams with significant autonomy, taking projects from initial scoping and design through to deployment and ongoing optimization. A typical day might involve architecting cloud-based ETL workflows, optimizing query performance on multi-terabyte datasets, integrating disparate hospital data systems, or collaborating with client IT teams to ensure seamless adoption. Key Responsibilities Design, build, and maintain scalable data pipelines and architectures to support analytics, machine learning, and operational applications. Collaborate with cross-functional teams to translate complex operational needs into reliable, well-modeled datasets. Integrate and normalize data from multiple structured and unstructured healthcare sources (EHRs, scheduling systems, operational databases, etc.). Optimize query performance and data processing for speed, scalability, and cost efficiency. Implement best practices for data quality, governance, and security in compliance with healthcare regulations (e.g., HIPAA). Support deployment, monitoring, and troubleshooting of production data systems. What We're Looking For Proven experience as a data engineer or in a similar role, with a track record of building and maintaining large-scale data infrastructure. Strong proficiency in SQL and Python for data processing and pipeline development. Experience with cloud data platforms and services such as AWS (RDS, Redshift, Lambda, S3), GCP, or Azure. Knowledge of both relational and non-relational databases (PostgreSQL, MySQL, MongoDB, etc.). Familiarity with modern data workflow orchestration tools (Airflow, DBT, Dagster, etc.). Ability to work closely with both technical and non-technical stakeholders to gather requirements and deliver solutions. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Bonus Points Experience working with healthcare data and integrating EHR, scheduling, or operational systems. Familiarity with real-time data processing frameworks (Kafka, Kinesis, Spark Streaming, Flink). Knowledge of data warehousing solutions like Snowflake or BigQuery. Hands-on experience with Databricks or similar data lakehouse platforms. Strong understanding of data privacy, compliance, and security in regulated environments. Experience mentoring peers or contributing to cross-functional technical strategy. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range$140,000-$220,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for a Staff Data Platform Engineer to shape the strategy, architecture, and execution of our next-generation data ecosystem. In this role, you will partner closely with our autonomy stack teams-the “customers” of our platform-to deeply understand their workflows, pain points, and evolving needs. You will lead the design and development of robust, scalable, and data-intensive distributed systems that power the full lifecycle of autonomous driving data: collection, ingestion, curation, machine learning training, and evaluation. You'll be a key decision-maker in defining best practices, data contracts, and integration patterns across upstream and downstream systems. This is a highly impactful role for someone who thrives at the intersection of technical leadership, system design, and cross-team collaboration, and who wants to elevate the capabilities of our data platform to support cutting-edge ML and autonomy development. At Applied Intuition, you will: Drive Data Platform Strategy - Define the long-term vision and technical roadmap for the data ecosystem, balancing scalability, reliability, cost efficiency, and developer experience Partner with Customers - Engage deeply with autonomy stack teams to gather requirements, uncover pain points, and translate them into platform capabilities Lead Complex Workflow Development - Architect and build end-to-end, large-scale ETL and data workflows for data collection, ingestion, transformation, and delivery Establish Data Contracts - Define and enforce clear SLAs and contracts with upstream data producers and downstream data consumers Set Best Practices - Champion data engineering best practices around governance, schema evolution, lineage, quality, and observability Mentor and Influence - Guide other engineers and teams on designing scalable data systems and making strategic technology choices Collaborate Across Functions - Work with infrastructure, ML platform, autonomy stack, and labeling teams to ensure smooth data flow and ecosystem integration We're looking for someone who has: 10+ years of experience in data engineering, distributed systems, or related backend engineering roles Proven track record of architecting and building large-scale, data-intensive, distributed systems Deep experience with complex ETL pipelines, data ingestion frameworks, and data processing engines (e.g., Spark, Flink, Airflow, Flyte, Kafka, etc) Strong understanding of data modeling, partitioning, schema evolution, and metadata management at scale Hands-on experience with cloud object stores (e.g., AWS S3), lakehouse architectures, and data warehouse technologies Ability to drive technical discussions with both engineers and non-technical stakeholders Strong communication and leadership skills, with the ability to influence across teams and functions Nice to have: Experience supporting ML/AI workflows at scale, from raw data ingestion to model training and evaluation Familiarity with data governance, lineage tracking, and observability tools Experience in autonomous systems, robotics, or other high-volume sensor data domains Contributions to open-source data infrastructure projects Why Join Us? You'll be at the heart of enabling autonomous driving innovation-building the systems that allow teams to harness massive amounts of real-world and simulated data for developing and validating our stack. You'll have the autonomy to set the technical direction, the opportunity to solve some of the hardest data engineering problems, and the ability to make a measurable impact on the success of our platform and products. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $180,000 - $225,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role As the data engine team, our goal is to provide a central data and machine learning platform that can be used across all verticals of the company. We're looking for generalist engineers that want to build the foundations of a new workflow that spans: Data ingestion from a production fleet Data processing and storage (TBs/car/day) Labeling infrastructure Machine learning infrastructure This group has a massive scope to define how product verticals across the company are deployed at scale for our customers given data and machine learning infrastructure is at the heart of the autonomy problem. We're still very early in development so if you are interested in the “0-1” stage of building up a new team that interacts with teams across the company, this is a good fit. At Applied Intuition, you will: Design and build large-scale data platforms to support our AI research and autonomy stack development, handling petabytes of multimodal sensor data from real-world driving scenarios Work on data curation and tagging platforms that enable efficient dataset discovery, labeling workflows, and quality assessment across diverse driving conditions Build high-performance data processing systems using modern distributed computing frameworks to transform raw sensor data into training-ready formats Use the following technologies: Apache Spark, Apache Hudi, Trino, Apache Kafka, Flyte, Kubernetes, Python, Golang, Java We're looking for someone who has: Strong backend engineering experience Problem-solving skills and experience working with cross-functional teams in fast-paced environments Nice to have: Hands-on experience with modern data stack technologies including Apache Spark, Hudi, Trino, Kafka, or similar distributed data processing frameworks Knowledge of data lake architectures, streaming systems, and workflow orchestration platforms like Flyte Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role As the data engine team, our goal is to provide a central data and machine learning platform that can be used across all verticals of the company. We're looking for generalist engineers that want to build the foundations of a new workflow that spans: * Data ingestion from a production fleet * Data processing and storage (TBs/car/day) * Labeling infrastructure * Machine learning infrastructure This group has a massive scope to define how product verticals across the company are deployed at scale for our customers given data and machine learning infrastructure is at the heart of the autonomy problem. We're still very early in development so if you are interested in the "0-1" stage of building up a new team that interacts with teams across the company, this is a good fit. At Applied Intuition, you will: * Design and build large-scale data platforms to support our AI research and autonomy stack development, handling petabytes of multimodal sensor data from real-world driving scenarios * Work on data curation and tagging platforms that enable efficient dataset discovery, labeling workflows, and quality assessment across diverse driving conditions * Build high-performance data processing systems using modern distributed computing frameworks to transform raw sensor data into training-ready formats * Use the following technologies: Apache Spark, Apache Hudi, Trino, Apache Kafka, Flyte, Kubernetes, Python, Golang, Java We're looking for someone who has: * Strong backend engineering experience * Problem-solving skills and experience working with cross-functional teams in fast-paced environments Nice to have: * Hands-on experience with modern data stack technologies including Apache Spark, Hudi, Trino, Kafka, or similar distributed data processing frameworks * Knowledge of data lake architectures, streaming systems, and workflow orchestration platforms like Flyte Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry-generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles) and Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab). Join us and leave your mark on the future of robotics, AI, and global commerce. Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role: Help us advance our robotics moonshot by scaling our data engineering efforts. Drive design and development of data infrastructure across our products and internal tools. You will play a critical role in working with our world-class cross-functional team to architect and build the world's most advanced robotic systems for the world's biggest robotics opportunity! Responsibilities * Design and maintain scalable, reliable data pipelines. * Ensure timely and efficient data collection, processing, and availability. * Integrate data from multiple sources for both batch and streaming analytics. * Manage and optimize the data lakehouse for performance and reliability. * Apply best practices in data modeling, pipeline design, and query optimization. * Monitor pipeline performance and troubleshoot issues. * Develop and manage ETL/ELT processes for loading data into data warehouses and data lakes. * Maintain data integrity and consistency across systems. * Collaborate with engineering, product, finance, bizops, and other teams to understand data needs and deliver solutions. * Provide data engineering support to ensure data accessibility and usability company-wide. * Define and enforce data quality standards. * Implement data governance to ensure compliance with internal and external policies. * Stay current with industry trends and technologies in data engineering. * Continuously improve data processes and infrastructure for efficiency and scalability. * Document data engineering processes, designs, and architectures Qualifications * Fast learner with a strong work ethic, high performance standards, and ambition. * 1-4 years of experience in a tech company or fast-growing startup. * BS/MS/PhD in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience. * Proficiency in writing production-grade code in at least one of: Python, Java, Rust, Go, or Scala. * Strong debugging skills and the ability to diagnose and resolve issues efficiently. * Experience with Kafka and/or Spark. * Experience working with AWS or other cloud platforms. Nice To Have * Experience with modern data engineering tools like Databricks, Clickhouse, DeltaLake, Apache Iceberg, Apache Flink, Parquet, Apache, Arrow Airflow * Experience with Robotics, Machine Learning and Mechanical Engineering Additional Requirements * Willing to work extended hours and weekends if needed * This position is based full time in our San Francisco headquarters $140,000 - $190,000 a year The above range is the base salary range. This candidate will also receive generous equity! Culture: We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program

Who We Are Tonal is the smartest home gym and personal trainer. With cutting-edge hardware, AI-driven coaching, and the world's largest dataset of real-world strength training, we're redefining how people train. Our platform combines data from millions of workouts, sensors, and integrations to deliver personalized training, enhance coaching, and measure progress in entirely new ways. We're passionate about transforming lives through strength, performance, and health. At Tonal, innovation, science, and data come together to create a training experience that's personal, motivating, and measurable. Overview As a Staff Data Engineer, you will shape the backbone of Tonal's data platform. You'll design and scale systems that bring together massive volumes of workout, sensor, and health-related data while ensuring security, reliability, and trust. This role requires a deep understanding of compliance and security standards and the ability to build infrastructure that protects sensitive information while fueling product innovation, AI, and analytics. What You Will Do * Architect secure and scalable data systems that support Tonal's growth and meet regulatory standards. * Build and optimize data models and pipelines across diverse sources: sensors, workouts, health integrations, CRM, payments, and content. * Establish controls for access, encryption, anonymization, monitoring, and auditability. * Define and enforce best practices for managing sensitive data, including PHI and PII. * Collaborate with teams across Product, Engineering, Sports Science, and Healthcare to translate needs into compliant solutions. * Conduct risk assessments and implement safeguards guided by NIST frameworks. * Support SOC 2 audits by documenting and demonstrating effective security controls. * Mentor engineers and scientists, setting high standards for secure data engineering. * Continuously evolve the platform, introducing new tools and frameworks to balance innovation with strong regulatory posture. Who You Are * 8+ years of experience in data engineering, or 6+ years with a Master's degree (or equivalent). * Strong skills in SQL, Python, and distributed data processing (Spark, Databricks, or similar). * Experience building pipelines with DBT, Airflow, Fivetran, or related tools. * Background in data modeling and warehousing with systems like Snowflake, Databricks, or Redshift. * Hands-on experience working with regulated environments and sensitive data. * Familiarity with frameworks such as HIPAA, SOC 2, and NIST for security and compliance. * Skilled in access control design, audit logging, encryption, and governance. * Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences. * Known for technical leadership and mentoring, raising the bar for engineering quality. Extra Credit * Experience with fitness, healthcare, IoT, or sensor data. * Knowledge of privacy-preserving techniques (k-anonymity, l-diversity, differential privacy). * Exposure to production ML/AI pipelines involving sensitive data. * Background in connected fitness, digital health, or regulated healthcare products. At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation.

Data Engineer External Description: Data Engineer Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. Position Summary: Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies. As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. General Duties/Responsibilities: (May include but are not limited to) Interfacing with business customers, gathering requirements and developing new datasets in data platform Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Identifying the data quality issues to address them immediately to provide great user experience Extracting and combining data from various heterogeneous data sources Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets Modelling data and metadata to support machine learning and AI Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 3+ years relevant experience in cloud based data engineering. Demonstrated ability in data modeling, ETL development, EDI Development and data warehousing. Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc.) Experience in using Python, .net, Java and/or other data engineering languages Knowledge and experience of SQL Server and SSIS. Experience with X12(837,834,278) and HL7 transactions Education/Licensure: Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field Other: Excellent communication, analytical and collaborative problem-solving skills Requires Spark and Scala Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Preferred Healthcare domain and data experience Healthcare EDI experience is a plus API development experience is a plus Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies - SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX including to process large data sets. Experience with Azure, AWS or GCP is a plus Microsoft Azure Certification is a plus Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Problem solving skills and Ability to meet deadlines are a must Microsoft Azure Certification is a plus Python and Java are a plus, Experience with X12(837,834,278) and HL7 transactions preferred Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. City: Orange State: California Location City: Orange Schedule: Full Time Location State: California Community / Marketing Title: Data Engineer Company Profile: Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. EEO Employer Verbiage: On August 17, 2021, Alignment implemented a policy requiring all new hires to receive the COVID-19 vaccine. Proof of vaccination will be required as a condition of employment subject to applicable laws concerning exemptions/accommodations. This policy is part of Alignment's ongoing efforts to ensure the safety and well-being of our staff and community, and to support public health efforts. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************.

Data Engineer External Description: Data Engineer Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. Position Summary: Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies. As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. General Duties/Responsibilities: (May include but are not limited to) Interfacing with business customers, gathering requirements and developing new datasets in data platform Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Identifying the data quality issues to address them immediately to provide great user experience Extracting and combining data from various heterogeneous data sources Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets Modelling data and metadata to support machine learning and AI Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 3+ years relevant experience in cloud based data engineering. Demonstrated ability in data modeling, ETL development, EDI Development and data warehousing. Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc.) Experience in using Python, .net, Java and/or other data engineering languages Knowledge and experience of SQL Server and SSIS. Experience with X12(837,834,278) and HL7 transactions Education/Licensure: Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field Other: Excellent communication, analytical and collaborative problem-solving skills Requires Spark and Scala Building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically Preferred Healthcare domain and data experience Healthcare EDI experience is a plus API development experience is a plus Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies - SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX including to process large data sets. Experience with Azure, AWS or GCP is a plus Microsoft Azure Certification is a plus Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Problem solving skills and Ability to meet deadlines are a must Microsoft Azure Certification is a plus Python and Java are a plus, Experience with X12(837,834,278) and HL7 transactions preferred Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. City: Orange State: California Location City: Orange Schedule: Full Time Location State: California Community / Marketing Title: Data Engineer Company Profile: Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. EEO Employer Verbiage: On August 17, 2021, Alignment implemented a policy requiring all new hires to receive the COVID-19 vaccine. Proof of vaccination will be required as a condition of employment subject to applicable laws concerning exemptions/accommodations. This policy is part of Alignment's ongoing efforts to ensure the safety and well-being of our staff and community, and to support public health efforts. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************.

Architect, Data Engineering External Description: Architect, Data Engineering Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. Position Summary: Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data and Analytics(D&A) team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. As Architect of Data Engineering, you will play a key role in architecting data engineering solutions and technology to uncover deep insights from data using big data technologies and advanced statistical analysis, processing very large data sets using cloud-based data pipelines(real-time and batch) on Microsoft Azure, variety of analytic tools, visualizations and delivering actionable healthcare insights & solutions. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. General Duties/Responsibilities: (May include but are not limited to) Architects, develops, and implements Data Engineering strategy to support organizational initiatives. Leads the architecture function of Data Engineering (Pipeline) team Provides leadership, mentorship to internal data Engineering staff. Lead the effort for building and migrating the complex ETL/EDI pipelines from on premise system to cloud and Hadoop/Spark/Kafka to make the system grow elastically Ensuring data quality throughout all stages of acquisition and processing, including data collection, ground truth generation, normalization and transformation Extracting and combining data from various heterogeneous data sources Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets Modelling data and metadata to support machine learning and AI Build statistical models, apply machine learning techniques, analyze very large data sets and construct metrics using these modeling techniques. Guiding critical business decisions by highlighting opportunities, identifying correlations, defining experiments and figuring out cause and effect relationships. Deploying models in operational software to power insights and actions. Develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Provide leadership to Data Engineering teams. Communicate with business partners, software vendors, and internal departments. Participate in project meetings, providing input to project plans and providing status updates. Responsible for the global standardization of Data Engineering processes and process improvement and efficiency Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 6+ years relevant experience in Data Engineering. 3+ years of architecture experience Experience with machine learning algorithms, including deep neural networks, natural language processing, kernel methods, dimensionality reduction, ensemble methods, hidden Markov models and graph algorithms. Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks etc.) Experience with real-time data processing and API platforms. Experience in using Python, Java and/or other data engineering languages Experience with data visualization and presentation, turning complex analysis into insight. Healthcare domain and data experience Education/Licensure: Masters in Computer Science, Engineering, Mathematics, Statistics, or related field Other: Demonstrated ability in data modeling, ETL development, API developments and data warehousing. Knowledge and experience of SQL and SSIS. Excellent communication, analytical and collaborative problem-solving skills Preferred: PhD or Master's in computer science, Electrical Engineering, Mathematics, Statistics, or related field Industry experience as a Data Engineering Leader or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Engineer) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies - SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX including to process large data sets. Experience with Azure, AWS or GCP is a plus Microsoft Azure data architecture Certification is a plus Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of scripting for automation (e.g. Python, Perl, Scala etc.) Experience with NoSQL, Spark, Hadoop, Elasticsearch etc. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. City: Anaheim State: California Location City: Anaheim Schedule: Full Time Location State: California Community / Marketing Title: Data Engineer Architect Company Profile: Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time. By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community. EEO Employer Verbiage: On August 17, 2021, Alignment implemented a policy requiring all new hires to receive the COVID-19 vaccine. Proof of vaccination will be required as a condition of employment subject to applicable laws concerning exemptions/accommodations. This policy is part of Alignment's ongoing efforts to ensure the safety and well-being of our staff and community, and to support public health efforts. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************.

What you can expect! Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience! Under the direction of the Department Leadership, the Data Engineer III is responsible for the design, planning and development of IEHP data solutions. The Data Engineer III will lead the design and development of data transformation. This position will be involved in data architecture. The Data Engineer III is expected to lead by example. In this role the Data Engineer III will follow coding standards throughout all aspects of the solution development to produce efficient and high-quality solutions, in addition to collaboration with, inter-departments to ensure member needs are met while simultaneously building strong peer relationships. Key Responsibilities: 1. Design, develop and implement reliable and effective data solutions based on business requirements. 2. Maintain process design artifacts like data flow diagrams, end user process maps and technical design documents. 3. Find trends in data sets and develop algorithms to help make raw data more useful to IEHP. 4. Create and maintain optimal data pipeline architecture that meet security standards. 5. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. 6. Develop best practices for database design and development activities. 7. Create complex functions, scripts, and services to support the Data Services team. 8. Ensure all data solutions meet company and performance requirements. 9. Work under minimal supervision with wide latitude for independent judgment. 10. Conduct code reviews. 11. Direct and mentor some level I and II engineers. 12. Serve as a subject matter expert in key business projects. 13. Recommend improvements to existing Data Services processes as necessary. 14. Provide detailed analysis of data issues; data mapping; and the process for automation and enhancement of data quality. 15. Analyze and integrate new technologies with existing applications to improve the design and functionality of applications. 16. Maintain proficient programming skills in REST web services, C#.NET, TSQL, XML, JSON, and other relevant languages and/or frameworks. 17. Develop and automate solutions to consume data from multiple data sources, including external API 18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions. 19. Design and deploy enterprise-scale cloud infrastructure solutions. 20. Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems. 21. Work closely with the Data and Engineering teams to design best in class Azure implementations. 22. Clearly and regularly communicate with management, colleagues, and domain units. Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation. Additional Benefits Perks IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more. Competitive salary. Hybrid schedule. CalPERS retirement. State of the art fitness center on-site. Medical Insurance with Dental and Vision. Life, short-term, and long-term disability options Career advancement opportunities and professional development. Wellness programs that promote a healthy work-life balance. Flexible Spending Account - Health Care/Childcare CalPERS retirement 457(b) option with a contribution match Paid life insurance for employees Pet care insurance Qualifications Education & Experience Minimum of eight (8) years of experience in provisioning, configuring, and developing solutions in Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB. Eight (8) years implementing software development methodologies. Eight (8) years working with relational databases. Experience building and optimizing big data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes. Experience using Source Control and management tools such as Azure DevOps and Gitlab/GitHub. Experience transforming requirements into Design Concepts and ERDs using Visio and similar tools. Of the total eight, a minimum of five (5) years of hands-on experience with cloud orchestration and automation tools and CI/CD pipeline creation is required. Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics or Engineering from an accredited institution required. Key Qualifications Strong knowledge and understanding in the following areas: - DevOps, Python or Java or Json, (HL7/ FHIR is a plus) - Applicable data privacy practices and laws - common SDLC models (Waterfall, Agile - Scrum and Kanban) - Practice of DevOps - Non-relational database (NoSQL) designs using MongoDB and others - Relational databases like MS SQL Server - Fluency with at least one scripting or programming language such as Python. - Message queuing, stream processing, and highly scalable ‘big data' data stores. Start your journey towards a thriving future with IEHP and apply TODAY! Work Model Location Hybrid Work Schedule (Monday & Friday remote, Tuesday, Wednesday, Thursday onsite required) Pay Range USD $118,601.60 - USD $157,144.00 /Yr.

What you can expect! Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience! Under the direction of the Department Leadership, the Data Engineer III is responsible for the design, planning and development of IEHP data solutions. The Data Engineer III will lead the design and development of data transformation. This position will be involved in data architecture. The Data Engineer III is expected to lead by example. In this role the Data Engineer III will follow coding standards throughout all aspects of the solution development to produce efficient and high-quality solutions, in addition to collaboration with, inter-departments to ensure member needs are met while simultaneously building strong peer relationships. Key Responsibilities: 1. Design, develop and implement reliable and effective data solutions based on business requirements. 2. Maintain process design artifacts like data flow diagrams, end user process maps and technical design documents. 3. Find trends in data sets and develop algorithms to help make raw data more useful to IEHP. 4. Create and maintain optimal data pipeline architecture that meet security standards. 5. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. 6. Develop best practices for database design and development activities. 7. Create complex functions, scripts, and services to support the Data Services team. 8. Ensure all data solutions meet company and performance requirements. 9. Work under minimal supervision with wide latitude for independent judgment. 10. Conduct code reviews. 11. Direct and mentor some level I and II engineers. 12. Serve as a subject matter expert in key business projects. 13. Recommend improvements to existing Data Services processes as necessary. 14. Provide detailed analysis of data issues; data mapping; and the process for automation and enhancement of data quality. 15. Analyze and integrate new technologies with existing applications to improve the design and functionality of applications. 16. Maintain proficient programming skills in REST web services, C#.NET, TSQL, XML, JSON, and other relevant languages and/or frameworks. 17. Develop and automate solutions to consume data from multiple data sources, including external API 18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions. 19. Design and deploy enterprise-scale cloud infrastructure solutions. 20. Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems. 21. Work closely with the Data and Engineering teams to design best in class Azure implementations. 22. Clearly and regularly communicate with management, colleagues, and domain units. Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation. Additional Benefits Perks IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more. Competitive salary. Hybrid schedule. CalPERS retirement. State of the art fitness center on-site. Medical Insurance with Dental and Vision. Life, short-term, and long-term disability options Career advancement opportunities and professional development. Wellness programs that promote a healthy work-life balance. Flexible Spending Account - Health Care/Childcare CalPERS retirement 457(b) option with a contribution match Paid life insurance for employees Pet care insurance Qualifications Education & Experience Minimum of eight (8) years of experience in provisioning, configuring, and developing solutions in Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB. Eight (8) years implementing software development methodologies. Eight (8) years working with relational databases. Experience building and optimizing big data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes. Experience using Source Control and management tools such as Azure DevOps and Gitlab/GitHub. Experience transforming requirements into Design Concepts and ERDs using Visio and similar tools. Of the total eight, a minimum of five (5) years of hands-on experience with cloud orchestration and automation tools and CI/CD pipeline creation is required. Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics or Engineering from an accredited institution required. Key Qualifications Strong knowledge and understanding in the following areas: - DevOps, Python or Java or Json, (HL7/ FHIR is a plus) - Applicable data privacy practices and laws - common SDLC models (Waterfall, Agile - Scrum and Kanban) - Practice of DevOps - Non-relational database (NoSQL) designs using MongoDB and others - Relational databases like MS SQL Server - Fluency with at least one scripting or programming language such as Python. - Message queuing, stream processing, and highly scalable ‘big data' data stores. Start your journey towards a thriving future with IEHP and apply TODAY! Work Model Location Hybrid Work Schedule (Monday & Friday remote, Tuesday, Wednesday, Thursday onsite required) Pay Range USD $118,601.60 - USD $157,144.00 /Yr.

LifeLong Medical Care has an exciting opportunity for a Data Scientist to provide programming support to build analytic applications to support business decision making in the organization. This is a part time, 30 hour/week, benefit eligible position. LifeLong Medical Care is a multi-site, Federally Qualified Health Center (FQHC) with a rich history of providing innovative healthcare and social services to a wonderfully diverse patient community. Our patient-centered health home is a dynamic place to work, practice, and grow. We have over 15 primary care health centers and deliver integrated services including psychosocial, referrals, chronic disease management, dental, health education, home visits, and much, much more. Benefits Compensation: $71k - $75k/year. We offer excellent benefits including: medical, dental, vision (including dependent and domestic partner coverage), generous leave benefits including ten paid holidays, Flexible Spending Accounts, 403(b) retirement savings plan. Responsibilities Under the supervision of the Manager of Analytics, the data scientist is a senior and key part of data analytic team, developing data insights through reporting and provides assistance to all data reporting tool users in Lifelong Medical Care, including documentation of report requirements and report implementations. The senior analyst is the core content expert for designated subjects as assigned by Manager of Analytics or designee Maintains integrity of the data warehouse in their content areas or as assigned Develops and maintains internal reporting services platform using SSRS and Tableau. Supports Data Analysts and Junior Analysts in report development. Provides analytic support and data insights to one or multiple departments and develops a variety of complex ad hoc, production and/or trend reports to support business decisions and operational processes for internal and external clients. Collaboratively develops data strategy for core content area Arranges project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. Communicates with clients and key stakeholders to develop and create specification analytical applications. Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems. Performs additional duties in support of the team and immediate reporting need of other departments as assigned by supervisor. Protects operations by keeping information confidential and complies with HIPAA requirements. Qualifications Commitment to the provision of primary care services for the underserved with demonstrated ability and sensitivity in working with a variety of people from low-income populations, with diverse educational, lifestyle, ethnic and cultural origins. Be creative and mature with a “can do,” proactive attitude. Ability to effectively support, motivate and supervise staff, encourage and nurture development and growth, to build a strong and productive team. Strong organizational, administrative, multi-tasking, prioritization and problem-solving skills. Ability to work effectively under pressure in a positive, friendly manner and to be flexible and adaptive to change. Ability to take initiative, work independently and make sound judgments within established guidelines; understand and apply oral and written instructions; establish and maintain effective working relations with staff, clinical providers, managers and external agencies or organizations. Excellent interpersonal, verbal, and written skills and ability to effectively work with people from diverse backgrounds and be culturally sensitive. Work in a team-oriented environment with a number of professionals with different work styles and support needs. Conduct oneself in internal and external settings in a way that reflects positively on LifeLong Medical Care as an organization of professional, confident and sensitive staff. Ability to continuously scan the environment, identifying opportunities for improvement and intersections with other departments of LifeLong Medical Care and partner organizations. Job Requirements Bachelor's degree (Masters preferred) in Computer Science or a related field or an equivalent combination of education and/or experience. Minimum 10 years of experience in programming and data analysis involving duties listed above. Experience in Healthcare related field and/or data reporting related work and data visualization development Excellent skills in SQL scripting and knowledge of database development. Basic understanding of SSIS Proficiency in Microsoft Offices, including Excel, PowerPoint, Word. Job Preferences Community Health Center experience. Microsoft Certified Solution Associate (MCSA) in SQL database development.

LifeLong Medical Care has an exciting opportunity for a Data Scientist to provide programming support to build analytic applications to support business decision making in the organization. This is a part time, 30 hour/week, benefit eligible position. LifeLong Medical Care is a multi-site, Federally Qualified Health Center (FQHC) with a rich history of providing innovative healthcare and social services to a wonderfully diverse patient community. Our patient-centered health home is a dynamic place to work, practice, and grow. We have over 15 primary care health centers and deliver integrated services including psychosocial, referrals, chronic disease management, dental, health education, home visits, and much, much more. Benefits Compensation: $71k - $75k/year. We offer excellent benefits including: medical, dental, vision (including dependent and domestic partner coverage), generous leave benefits including ten paid holidays, Flexible Spending Accounts, 403(b) retirement savings plan. Responsibilities * Under the supervision of the Manager of Analytics, the data scientist is a senior and key part of data analytic team, developing data insights through reporting and provides assistance to all data reporting tool users in Lifelong Medical Care, including documentation of report requirements and report implementations. * The senior analyst is the core content expert for designated subjects as assigned by Manager of Analytics or designee * Maintains integrity of the data warehouse in their content areas or as assigned * Develops and maintains internal reporting services platform using SSRS and Tableau. Supports Data Analysts and Junior Analysts in report development. * Provides analytic support and data insights to one or multiple departments and develops a variety of complex ad hoc, production and/or trend reports to support business decisions and operational processes for internal and external clients. * Collaboratively develops data strategy for core content area * Arranges project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. * Communicates with clients and key stakeholders to develop and create specification analytical applications. * Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems. * Performs additional duties in support of the team and immediate reporting need of other departments as assigned by supervisor. * Protects operations by keeping information confidential and complies with HIPAA requirements. Qualifications * Commitment to the provision of primary care services for the underserved with demonstrated ability and sensitivity in working with a variety of people from low-income populations, with diverse educational, lifestyle, ethnic and cultural origins. * Be creative and mature with a "can do," proactive attitude. * Ability to effectively support, motivate and supervise staff, encourage and nurture development and growth, to build a strong and productive team. * Strong organizational, administrative, multi-tasking, prioritization and problem-solving skills. * Ability to work effectively under pressure in a positive, friendly manner and to be flexible and adaptive to change. * Ability to take initiative, work independently and make sound judgments within established guidelines; understand and apply oral and written instructions; establish and maintain effective working relations with staff, clinical providers, managers and external agencies or organizations. * Excellent interpersonal, verbal, and written skills and ability to effectively work with people from diverse backgrounds and be culturally sensitive. * Work in a team-oriented environment with a number of professionals with different work styles and support needs. * Conduct oneself in internal and external settings in a way that reflects positively on LifeLong Medical Care as an organization of professional, confident and sensitive staff. * Ability to continuously scan the environment, identifying opportunities for improvement and intersections with other departments of LifeLong Medical Care and partner organizations. Job Requirements * Bachelor's degree (Masters preferred) in Computer Science or a related field or an equivalent combination of education and/or experience. * Minimum 10 years of experience in programming and data analysis involving duties listed above. * Experience in Healthcare related field and/or data reporting related work and data visualization development * Excellent skills in SQL scripting and knowledge of database development. * Basic understanding of SSIS * Proficiency in Microsoft Offices, including Excel, PowerPoint, Word. Job Preferences * Community Health Center experience. * Microsoft Certified Solution Associate (MCSA) in SQL database development.

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field. Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions. Position Description The Microsoft Fabric Data Engineer supports Applied Medical by designing, developing, and maintaining reliable data pipelines and analytics solutions using Microsoft Fabric. The Microsoft Fabric Data Engineer contributes to enterprise data quality and system performance by building scalable data workflows, optimizing data storage, and supporting advanced analytics across business teams. This role plays a key part in enabling a unified data environment and strengthening Applied Medical's ability to make data driven decisions. Key Responsibilities * Design and develop scalable data pipelines using Microsoft Fabric to support enterprise data engineering and analytics needs. * Collaborate with analysts, data teams, and business stakeholders to define data requirements and deliver effective data solutions. * Maintain and troubleshoot data workflows to ensure system reliability and accurate data refresh cycles. * Optimize data storage, retrieval, and processing to improve performance, scalability, and long-term maintainability. * Integrate Microsoft Fabric services, Azure Data Factory, and Azure Synapse components to streamline end to end data processes. * Develop Python based tools for data cleaning, transformation, automation, and workflow improvements. * Support the implementation of machine learning models and data analytics workflows by preparing clean, structured datasets. * Maintain comprehensive documentation for data models, configurations, data pipelines, and system processes. * Ensure data accuracy, data integrity, and data security across all reporting and analytics solutions. Success in This Role Looks Like * Delivering stable and scalable data engineering solutions that support business intelligence and enterprise analytics. * Driving data accuracy and reliability by monitoring data quality and maintaining consistent refresh cycles. * Leading cross functional initiatives that improve data workflows and unify data sources across systems. * Advancing product innovation by enabling machine learning, predictive analytics, and advanced reporting. * Ensuring regulatory compliance, documentation accuracy, and alignment with Applied Medical's quality standards. * Strengthening collaboration by communicating clearly with technical and non-technical stakeholders. Position Requirements This position requires the following skills and attributes: * Bachelor's degree in computer science, information technology, data science, engineering, or a related field, including BS in computer science or BS in engineering. * At least five years of experience in data engineering with Azure Data Factory or similar cloud data tools. * At least one year of enterprise experience working with Microsoft Fabric. * Strong knowledge of data modeling, extract transform load (ETL) and extract load transform (ELT) processes, and modern data warehousing methods. * Proficiency in Structured Query Language (SQL) and cloud-based database technologies. * Experience with Azure Data Factory, Azure Synapse, and Microsoft Azure environments. * Experience using Python for data transformation, workflow automation, and analytics support. * Experience developing reports or dashboards using Power BI. * Strong problem solving skills with high attention to detail. * Strong communication and collaboration skills to work effectively with global teams. * Ability to maintain data accuracy and verify that data is refreshed and delivered promptly. Required Certifications: * Microsoft Azure Data Fundamentals (DP-900) * Microsoft Certified Fabric Data Engineer Associate (DP-700) * Implementing Analytics Solutions Using Microsoft Fabric (D-600) Preferred The following skills and attributes are preferred: * Familiarity with enterprise resource planning systems such as SAP. * Strong understanding of data architecture, data quality, normalization, and advanced data modeling techniques. * Proficiency in Python or other programming languages with advanced Structured Query Language (SQL) capabilities. * Familiarity with big data technologies including Spark within Microsoft Fabric Runtime. * Exposure to machine learning, predictive analytics, and advanced analytics workflows. Preferred Certifications: * Data Engineering on Microsoft Azure (DP-203) * Designing Microsoft Azure Infrastructure Solutions (AZ-305) Benefits * Competitive compensation range: $100000 - $130000 / year (California). * Comprehensive benefits package. * Training and mentorship opportunities. * On-campus wellness activities. * Education reimbursement program. * 401(k) program with discretionary employer match. * Generous vacation accrual and paid holiday schedule. Please note that the compensation range may be based on factors such as relevant education, qualifications, experience. The compensation range may be adjusted in the future, and special discretionary bonus or incentive compensation plans may apply. Our total reward package reflects our commitment to team member growth and well-being, as we invest in your development and offer a range of benefits designed to enhance your career and life. Equal Opportunity Employer Applied Medical is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (including pregnancy, childbirth, breastfeeding and related medical conditions), or sexual orientation, or any other basis protected by federal, state or local laws in the locations where Applied Medical operates.