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Cybersecurity Engineer III **
Simventions, Inc.-Glassdoor ✪ 4.6
Data engineer job in San Diego, CA
SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced cybersecurity professional to join our team! As a Cybersecurity Engineer III, you will play a key role in advancing cybersecurity operations by performing in-depth system hardening, vulnerability assessment, and security compliance activities in accordance with DoD requirements. The ideal candidate will have a solid foundation in cybersecurity practices and proven experience supporting both Linux and Windows environments across DoD networks. You will work collaboratively with Blue Team, Red Team, and other Cybersecurity professionals on overall cyber readiness defense and system accreditation efforts. ** Position is contingent upon award of contract, anticipated in December of 2025. ** Clearance: An ACTIVE Secret clearance (IT Level II Tier 5 / Special-Sensitive Position) is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: In-depth understanding of computer security, military system specifications, and DoD cybersecurity policies Strong ability to communicate clearly and succinctly in written and oral presentations Must possess one of the following DoD 8570.01-M IAT Level III baseline certifications: CASP+ CE CCNP Security CISA CISSP (Associate) CISSP GCED GCIH CCSP Responsibilities: Develop Assessment and Authorization (A&A) packages for various systems Develop and maintain security documentation such as: Authorization Boundary Diagram System Hardware/Software/Information Flow System Security Plan Privacy Impact Assessment e-Authentication Implementation Plan System Level Continuous Monitoring Plan Ports, Protocols and Services Registration Plan of Action and Milestones (POA&M) Conduct annual FISMA assessments Perform Continuous Monitoring of Authorized Systems Generate and update test plans; conduct testing of the system components using the Assured Compliance Assessment Solution (ACAS) tool, implement Security Technical Implementation Guides (STIG), and conduct Information Assurance Vulnerability Management (IAVM) reviews Perform automated ACAS scanning, STIG, SCAP checks (Evaluate STIG, Tenable Nessus, etc.) on various standalone and networked systems Analyze cybersecurity test scan results and develop/assist with documenting open findings in the Plan of Action and Milestones (POA&M) Analyze DISA Security Technical Implementation Guide test results and develop/assist with documenting open findings in the Plan of Action and Milestones Preferred Skills and Experience: A combined total of ten (10) years of full-time professional experience in all of the following functional areas: Computer security, military system specifications, and DoD cybersecurity policies National Cyber Range Complex (NCRC) Total Ship Computing Environment (TSCE) Program requirements and mission, ship install requirements, and protocols (preferred) Risk Management Framework (RMF), and the implementation of Cybersecurity and IA boundary defense techniques and various IA-enabled appliances. Examples of these appliances and applications are Firewalls, Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Switch/Routers, Cross Domain Solutions (CDS), EMASS and, Endpoint Security Solution (ESS) Performing STIG implementation Performing vulnerability assessments with the ACAS tool Remediating vulnerability findings to include implementing vendor patches on both Linux and Windows Operating systems Education: Bachelor of Science in Information Systems, Bachelor of Science in Information Technology, Bachelor of Science in Computer Science, Bachelor of Science in Computer Engineering Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $90,000 - $160,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
$90k-160k yearly 4d ago
Advisory Azure Data Architect
Edgex
Data engineer job in San Diego, CA
EdgeX builds infrastructure-free IoT systems for real-time asset tracking and environmental monitoring, primarily in healthcare and industrial environments. Our sensors and platform operate entirely independent of facility IT, enabling instant deployment and insights. As part of our platform evolution, we have implemented Microsoft Azure Data Explorer (ADX) to enhance scalability, performance, and long-term maintainability across our data ecosystem. Role We are seeking an Advisory Azure Data Architect with deep expertise in IoT, time-series data, and observability platforms to provide expert oversight and validation as we transition more services and reporting workloads to ADX. This is a part-time, advisory engagement - ideal for a seasoned architect who can dedicate a few hours per week to help ensure that our ADX implementation, data migration strategy, and observability stack are aligned with best practices for scalability, performance, and cost efficiency. Key Responsibilities • Act as a strategic advisor to our engineering and infrastructure teams as we integrate additional systems and reports with ADX. • Review and validate existing ADX configurations, ingestion pipelines, and data models. • Provide guidance on data migration strategies, retention policies, and performance optimization. • Ensure proper observability and monitoring are in place using tools such as Datadog, Azure Monitor, and related platforms. • Offer best practices for managing and scaling telemetry and IoT data workloads. • Participate in periodic architecture reviews and provide actionable feedback to technical leadership. What We're Looking For • Proven experience designing and optimizing Azure Data Explorer (ADX) environments at scale. • Strong background in IoT, time-series data, and streaming architectures. • Hands-on familiarity with observability tools such as Datadog, Azure Monitor, Grafana, or Prometheus. • Understanding of related Azure services (Event Hubs, IoT Hub, Data Factory, Synapse, Log Analytics). • Excellent communication and advisory skills; able to collaborate effectively with both technical and leadership teams. • Prior consulting or fractional advisory experience preferred. Engagement Details • Part-time, advisory role (approx. 2-5 hours per week). • Flexible schedule; remote candidates welcome. • Focused on mid-to-late project validation and optimization, not initial architecture design.
$105k-145k yearly est. 4d ago
Data Scientist III
Veracyte 4.6
Data engineer job in San Diego, CA
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world's largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data. The successful candidate will develop digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist III at Veracyte, the candidate will be expected to assist in developing innovative solutions to complex problems under company's objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Develop digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte's data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are: REQUIRED EXPERIENCE: PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience of data/applied scientist role or equivalent Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation.) Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Knowledge of cancer biology Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$130,000-$171,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************
$130k-171k yearly Auto-Apply 4d ago
Data Scientist
Genomic Life
Data engineer job in San Diego, CA
Genomic Life is seeking an experienced Data Scientist to join our team! The Data Scientist is responsible for analyzing large-scale genomic data using statistical methods, machine learning, and bioinformatics to find and deliver clinical insights. Working with the Medical Affairs group as part of the Data Engagement Team, you will be focused on compiling, analyzing, and interpreting large data sets to identify trends and uncover insights. You will partner with the Head of Medical Affairs and other key stakeholders to deliver these high-quality insights to Genomic Life's clients and demonstrate the value of genomics and navigation. Job Type: Full-time Location: San Diego or Remote Salary Range: $110-150k Responsibilities: Compile, analyze, and interpret large data sets to identify trends, patterns, and provide key business and client insights Refine and enhance client-centric reporting requirements and continuous data insights for scientific and commercial initiatives Develop a database resource for broad analysis and assessment across multi-sourced genetic and clinical data Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases Develop reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools Identify relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets Maintain continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support Design, develop, and implement valuable data-driven solutions for the organization Serve as a lead data strategist to identify new datasets that can be leveraged through our product capabilities Collaborate with the product team to implement analytical models and standard validation procedures for data sets to release to production Transition validated data sources to a self-service analytic and reporting framework Work to develop AI generated insights for analytics and forecasting Partner with the product and operational teams to enhance our internal processes for business analytics, data quality monitoring, data issue resolution and operational excellence Requirements: 5 or more years of experience in a data scientist role Bachelor's degree or higher in computer science, mathematics, engineering, or a related field Deep experience with medical data/records Experience with genetic data, genetic terminology and HPO terms Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Knowledge of AWS managed services is preferred (S3, DynamoDB) Ability to work effectively in a dynamic, research-oriented group with multiple concurrent projects and competing priorities Strong written and verbal communication with experience preparing manuscripts a plus Strong analytical capabilities Strong attention to detail, and excellent time-management skills Knowledge of Salesforce.com Knowledge of JIRA, Confluence, and other project management tools Ability to work in fast paced, start-up environment Experience in the employer benefits space is preferred About Genomic Life: Genomic Life's mission is to be the best in the world at navigating individuals to the genomics that matter. We provide clinically relevant proactive genetic testing all in one program, making it easy to prevent, diagnose, and treat disease. Our nationwide team is driven to make a difference for the members, clients, and patients we serve. We are bringing the science of today to the medicine of tomorrow. We are passionate about what we do and the extraordinary transformation that genomics will have on healthcare.
$110k-150k yearly Auto-Apply 27d ago
Data Scientist - Academics
Art of Problem Solving 3.7
Data engineer job in San Diego, CA
At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k - 169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.
$102k-145k yearly est. Auto-Apply 2d ago
Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA
Dsm-Firmenich
Data engineer job in San Diego, CA
Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. Team-up with other data scientists and life science experts around the globe to drive project success We Bring: Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. Highly motivated, professional and committed multicultural and interdisciplinary team. Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. Grow and develop your skills through our in-house training courses. Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. Excellent problem-solving skills and proven ability to work both independently and collaboratively. Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role
$97k-139k yearly 60d+ ago
Data Scientist
Midland Credit Management 4.5
Data engineer job in San Diego, CA
Applicants must have current authorization to work in the United States on a full-time basis. The Data Scientist is responsible for the collection, management, and analysis of internal data to support modeling and collections strategies across all revenue channels. The Data Scientist is also responsible for the score-based valuation of existing collections portfolios at all levels of aggregation and/or the development of credit scores to support valuation and collections activities; collaborates with group analysts as they specify and validate collections strategies, maintain collections forecasts, and revise and improve our predictive models. This position works with partners in Marketing, Acquisitions, and Operations to aid in the development and implementation of score-based and logic-based collections practices. This role is equally comfortable discussing the academic merits of a statistical and advanced machine learning approaches or the ways in which a forecasting model will impact a business channel's revenue and cost expectations RESPONSIBILITIES Works with partners in Operations to aid in the development and implementation of score-based and logic-based collections practices. Works closely with Managers during the creation and validation of valuation products. Responsible for the collection, management, and analysis of internal data to support modeling and collections strategies. Implements, tracks, and validates score-based collections strategies. Facilitates the use of Data Science methodologies throughout the servicing operation. MINIMUM REQUIREMENTS EDUCATION: Bachelor's FIELD OF STUDY: Statistics, Engineering, or qualitative science EXPERIENCE: 2+ years of Data Scientist or related experience KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency of the following: Proficiency with base SAS and Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. PREFERRED QUALIFICATIONS EDUCATION: Master's or Advanced FIELD OF STUDY: Statistics, Engineering or a quantitative science EXPERIENCE: Additional experience that would help; quantify where possible KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency Proficiency with base Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. #LI-KL1 Starting Compensation Annual Salary: $82,500.00 - $107,199.00 (Amount based on office location, relevant experience, skills, and competencies) If you are wondering why you should work for us, here is something to help you decide: Pay and Bonuses: Earn a competitive salary. All employees are eligible for monthly incentives or annual bonus. Career Progression: Grow at MCM with paid training and development programs - including our very own MCM Academy - as well as a promote-from-within philosophy. Reward and Recognition: We are committed to honoring great results - ranging from informal accolades to formal company-wide awards and prizes like all-inclusive vacations. Tuition Assistance: Pursue a degree or coursework related to your current role, or the role you are striving for. Healthcare Insurance: Take advantage of comprehensive healthcare plans and options to ensure your continued health, plus fitness membership reimbursements, weight watchers, our wellness rewards Program and more. Volunteering Opportunities: Enjoy up to eight hours of paid time off each year to volunteer. We also offer volunteer grants and matching financial donations, up to US$ 2,500 per employee annually. Retirement Savings: Build a strong financial foundation and reach your goals for the future. With all the effort you invest in us, we're proud to invest in you. New Family Support: Celebrate your new arrival with company paid leave, new parent flex time, and child back-up care options. Team-building: Enjoy experiences that inspire bonds with your colleagues through a wide range of company-sponsored team-building events, such as holiday celebrations and department outings. Work-Life Balance: Enjoy paid and floating holidays, as well as generous paid-time-off. Our compensation and benefits programs were created with an 'Employee-First Approach' focused on supporting, developing, and recognizing YOU. We offer a wide array of wellness and mental health initiatives, support volunteerism, and environmental efforts, encourage employee education through leadership training, skill-building, and tuition reimbursements, and always strive to provide promotion opportunities from within. About Us Headquartered in the United States, Encore Capital Group (Encore) is a publicly traded international specialty finance company operating in various countries around the globe. Through our businesses - such as Midland Credit Management and Cabot Credit Management - we help consumers to restore their financial health as we further our Mission of creating pathways to economic freedom. Our commitment to building a positive workplace culture and a best-in-class employee experience have earned us accolades including Great Place to Work certifications in many geographies where we operate. If you have a passion for helping others and thrive at a company that values innovation, inclusion and excellence, then Encore Capital Group is the right place for you. Encore Capital Group and all of its subsidiaries are proud to be an equal opportunity employer and are committed to fostering an inclusive and welcoming environment where everyone feels they belong. We encourage candidates from all backgrounds to apply. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected under applicable law. If you wish to discuss potential accommodations related to applying for employment, please contact ****************.
$82.5k-107.2k yearly Auto-Apply 30d ago
Data Science Engineer
Penn State University
Data engineer job in San Diego, CA
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are seeking highly skilled and motivated Data Science Engineers to join our DevSecOps Department/Cyber, Modeling and Simulation Division at the Applied Research Laboratory (ARL) at Penn State University. ARL/Penn State's purpose is to develop innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs. Your working location will be on-site in San Diego, CA or Oahu, Hawaii ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software Apply data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives Visualize, interpret, and report data findings in dynamic data reports Employ a variety of data manipulation and visualization tools to best convey information/results to customers Support the design, development, testing and implementation of web based collaboration tools & platforms for data reporting Plan and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives Conduct exploratory data analysis for testing hypothesis This position can be filled at multiple levels depending on education and experience. Minimally requires a Bachelor's Degree in an Engineering or Science discipline, 5+ years related experience. Additional education and/or experience required for higher level positions. Master's degree preferred. Required skills/experience areas include: Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL. Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar. Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance Comfortable working with data in a variety of formats including excel, CSV, JSON, XML Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers Active Top Secret Clearance with SCI eligibility ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas. You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. FOR FURTHER INFORMATION on ARL, visit our web site at **************** **The proposed salary range may be impacted by geographic differential.** The salary range for this position, including all possible grades is: $109,300.00 - $191,000.00 Salary Structure - additional information on Penn State's job and salary structure. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines San Diego, CA
$109.3k-191k yearly Auto-Apply 60d+ ago
Lead Data Engineer
Practicetek
Data engineer job in San Diego, CA
The RoleTitle: Lead Data Engineer Team: Engineering Reports To: Manager of Data Engineering Stop scrolling-your dream job might just be here! At PracticeTek, we don't do ordinary, we do bold ideas, big impact, and endless opportunities to grow. Imagine working with teammates who celebrate your wins, challenge you to think bigger, and cheer you on every step of the way. Imagine building solutions that actually change lives and reshape how healthcare works. That's the vibe here: high-energy, high-impact, and 100% human. Ready to jump in? Let's go! We're on a mission to revolutionize healthcare practices effortlessly and we live out our brand promise every day: being the Trusted Partner in retail healthcare. PracticeTek is one of the largest retail-healthcare tech providers in North America, offering everything a practitioner would need, from pre-encounter workflows to practice management, analytics, digital intake forms, marketing tools, EHRs, and payment systems, for a whopping 40,000+ clinics worldwide. Over the years, we've brought together the best-in-class platforms that serve the Chiropractic, Wellbeing, Vision and Dental providers and their patients; and we are united by one mission, to revolutionize retail healthcare practices effortlessly. Here, you'll have the flexibility to contribute across multiple brands, each offering a unique path for growth. Whether you're building products, supporting customers, or driving strategy, your journey with PracticeTek is full of opportunity. We believe in showing up with consistent care, staying always ahead, keeping our approach market-in, making every experience feel effortless, owning it openly, and striving to do right in every decision. These aren't just words; they're how we live, work, and make an impact together.At PracticeTek, you'll get to: Shape the future of healthcare with technology solutions that are always evolving to meet real-world needs. Team up with passionate, talented people who care deeply about patients, providers, and making a difference. See your impact firsthand by helping practices deliver care that's simpler, smarter, and better for everyone. Grow your career and your skills in an environment that celebrates curiosity, collaboration, and continuous development. Why You'll Love It HereAs part of the TekTribe, you'll enjoy: Comprehensive health, dental, and vision coverage options Wellness benefits that support lifestyle, behavioral health, and overall wellbeing Flexible paid time off, sick time, and 10 company-paid holidays 401(k) plan with company match to help you build your future Culture Committee driving initiatives that spark connection, fun, and belonging Our Engineering team is the powerhouse behind PracticeTek's SaaS platforms, making sure thousands of healthcare providers have the secure, reliable, and seamless tools they need every day. We partner closely with Product and Design to bring bold ideas to life, delivering performant, cost-efficient, and compliant solutions that scale with impact. This team owns the foundation that keeps everything running, including cloud architecture, observability, security, compliance (HIPAA and PCI), and rock-solid reliability. Whether it is building smarter infrastructure, optimizing performance, or ensuring every solution is safe and effortless to use, Engineering is at the center of creating technology that helps transform healthcare practices.What You'll DoHere's how you'll help us bring our mission to life and show up as a Trusted Partner: Lead and mentor other data engineers, fostering professional growth and guiding the team toward technical best practices. Architect and oversee scalable data pipelines and Snowflake architectures supporting complex analytics workloads. Design and implement data integration strategies that ensure reliable, consistent data ingestion from multiple sources, along with efficient data management. Drive the implementation of advanced Snowflake features (e.g., data sharing, secure views, partitioning). Champion data governance and security standards, embedding compliance into team culture and practices. Actively contribute to team hiring, onboarding, mentorship, and performance management. What You Bring Your unique talents are what make you shine. For this role, success looks like: Minimum of four (4) years of talent acquisition experience, preferably in a SaaS organization 7+ years in data engineering, including 2+ years in a leadership or senior technical role. Expert-level proficiency in Snowflake architecture, schema design, and optimization. Strong expertise with Python, SQL, and modern ETL frameworks (dbt, Airflow). Proven leadership and mentoring experience within engineering teams. Deep knowledge of cloud infrastructure (AWS/Azure) and data orchestration tools. Excellent collaboration, communication, and stakeholder management skills. Ready to Join? If you're excited to bring your ideas, energy, and expertise to a team that's shaping the future of healthcare, we can't wait to hear from you. Apply today and let's make healthcare simpler, smarter, and Better. Together.The Fine Print (That Really Matters) At PracticeTek, we determine compensation by considering market data, internal equity, and each candidate's skills and experience. For this position, we reasonably expect to pay between $150,000-$170,000. This role is also eligible for benefits, including health, dental, vision, paid time off, 401(k) with company match, and may be eligible for additional compensation such as bonuses or equity, as applicable. PracticeTek is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all employees feel valued and supported. All qualified applicants will receive fair treatment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, age, disability, veteran status, genetic information, marital status, uniformed service status, or any other characteristic protected under applicable law. This job description is not a contract of employment and does not alter the at-will relationship between PracticeTek and its employees.
$150k-170k yearly Auto-Apply 60d+ ago
Senior Data Engineer
Tendo
Data engineer job in San Diego, CA
As a Senior Data Engineer, you will work within the Engineering team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources. You will collaborate with Tendo's Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo's customers. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare. About TendoMake an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis. Optimize data infrastructure and processes to ensure optimal performance and scalability. Develop and maintain data documentation and data lineage. Stay current with emerging technologies and industry trends related to data engineering. Requirements 5+ years of experience in data engineering. Extensive experience in the design, build, and maintenance of data ETL pipelines. Extensive knowledge of coding in Python or Scala with a focus on data processing. Experience using Apache Spark (PySpark or Scala). Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.). Experience with data and entity relationship modeling to support data warehouses and analytics solutions. Deep understanding of relational and non-relational databases (SQL/NOSQL). Comfortable working with unstructured and semi-structured data (Web scraping). Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean). Basic data privacy and security principles. Interest and/or experience in AI/ML applications, including support for model development or deployment workflows. Proactive mindset around exploring emerging technologies in AI and data science to drive innovation. Nice to Have Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Experience with Delta Lake and/or Databricks. Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation. Experience with machine learning workflows and data requirements for use with ML frameworks. Experience validating data quality, preferably with test automation. Experience with containerization using Docker. Base Salary Range$117,300-$158,700 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. BenefitsFor full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
$117.3k-158.7k yearly Auto-Apply 24d ago
Senior Data Engineer
Fairsquare 4.4
Data engineer job in San Diego, CA
Senior Data Engineer - San Diego, CA, Orlando, FL, or Atlanta, GA. Hybrid 3 days/week, Full time M-F 8am-5pm PST/EST Being authorized to work in the U.S. is a precondition of employment. National Funding does not consider candidates requiring 1099 or C2C. Exempt/Salary: $101,000-$161,000 + Bonus FairSquare is continuing to grow its Data Engineering Department and has an exciting opportunity for a Senior Data Engineer. Reporting to the Manager, Data Engineering, the Data Engineer will be focusing on understanding the data flow across source systems, assisting in integrating data for operational use and creating an intuitive and highly integruous data environment to support modeling, analytics and reporting. Responsibilities: The data engineer will participate in the on-going data warehouse implementation and work closely with the data and risk teams including analysts, data scientists, and business stakeholders. This includes the full DW lifecycle of requirements gathering, data modeling, data mapping, ETL, QA and maintenance. The primary responsibility will be ETL work using dbt integrating data, applying business rules and transformations, creating both normalized and de-normalized data. Additionally, there will be tasks to create pipelines within AWS for varying data sources and destinations. This role will also be involved in the design, development and maintenance of operational applications. Other responsibilities include supporting other data engineers, managing CI/CD pipelines through git, administrative tasks for project management and platform maintenance, data sourcing, responding to and resolving alerts quickly, documentation, AWS work and other tasks to support the data driven nature of the company. Knowledge, Skills and Abilities Required: 5+ years' experience working as a Data Engineer; data warehousing, ETL, pipelines, governance. Expertise in dbt, Snowflake, git and AWS required. Expertise in data modeling, ETL, data governance required. Experience with Salesforce is a plus. Nice to Have Skills: Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, techniques using UDFs. Experience in Snowflake administration (resource monitors, RBAC, virtual warehouse sizing, query performance tuning, time travel). Experience with designing and implementing data quality metrics. Experience in git integrations with dbt and JIRA. Physical Demands: Working in a temperature-controlled office environment Sitting at a desk for prolonged periods of time while viewing multiple computer screen monitors Potential lifting of boxes around 5-10lbs Why FairSquare? Growing, successful company preparing to almost double in size over the next three years (this is your opportunity to get in on the ground floor) Positive, energetic, passionate, business casual environment with management who committed to your success Fantastic benefits package including a 401(k) match Numerous employee events throughout the year, including our annual traditions such as a Day at the Del Mar Racetrack, Holiday Party, Employee and Family Picnic, sporting events and more. FairSquare and it's family of brands has been serving the small business community since 1999. We have provided more than $3 billion in funding to over 50,000 customers to support their working capital and equipment financing needs. We are one of the country's largest private providers of small business loans, having funded more than $3 billion to help small businesses grow. Our personal approach helps strengthen small business owners and we pride ourselves on being a resource they can trust. We are believers in small business owners. FairSquare is an Equal Opportunity Employer.
$110k-155k yearly est. 60d+ ago
Data Handling Subsystem Satellite Engineer
Globalstar Telecommunications Limited 4.6
Data engineer job in San Diego, CA
Who we are: Globalstar pioneered personal safety by introducing its SPOT Satellite GPS Messenger in 2007. Today, leveraging its low-earth orbit (LEO) satellite constellation, Globalstar reliably connects and protects assets, transmits key operational data, and saves lives - from any location - for consumers, industrial companies and government agencies in over 120 countries. With a portfolio that includes SPOT GPS messengers, next-generation IoT products and modems, and cloud-based telematics solutions, Globalstar's cost effective satellite-powered innovations give users visibility and intelligence for improving safety and operational efficiencies. What you will be doing at Globalstar As a Data Handling Subsystem Satellite Engineer, you will develop flight control, PID, and data acquisition software for satellite subsystems that include AOCS and all electrical components. You will work with a cross-functional team of high performing satellite systems and software engineers. Duties/Responsibilities: * Work with a team of engineers to monitor and maintain the Globalstar space asset of multiple generations of satellites * Establish and maintain subject matter expertise in the Globalstar Satellite Data Handling Subsystem * Write and maintain satellite operations procedures and scripts * Participate in real time operations for nominal operations, anomaly resolution, and anomaly recovery * Monitor satellite operations in real-time to confirm nominal performance or recommend contingency actions * Develop and maintain tools to streamline satellite and ground operations * Support development for new onboard algorithms * Prepare commanding requests for operators in accordance with established operations plan * Oversee the execution of commanding as necessary * Perform all required telemetry monitoring and analysis, both short and long-term, in order to assure satellite safety What you will bring to Globalstar * Bachelor's or higher in Electrical Engineering, Computer Science or Computer Engineering * 7+ years of experience developing and coding high reliability data handling software in C++ and Python * 7+ years of experience coding PID controllers for satellite data handling subsystems * 3+ years of experience coding space base control algorithms * Experience troubleshooting space-based systems * Familiarity with LEO or GEO satellites It's a bonus if you have: * Master's or higher in Electrical Engineering, Computer Science or Computer Engineering * 10+ years of experience developing and coding high reliability data handling software in C++ and Python * 10+ years of experience working on satellite data handling subsystems * Familiarity with ADA Physical Requirements: * Prolonged periods of sitting at a desk and working on a computer Marginal Functions: A review of this may have omitted some of the marginal functions of the position that are incidental to the performance of the job duties and responsibilities. This job description, in no way, states or implies that these are the only duties and/or responsibilities to be performed by the employee in this position. The employee in this position will be required to follow any other job-related instructions and to perform any other job-related duties requested by his/her supervisor. Skills and Competencies: * Excellent verbal and written communication skills, including the ability to interact clearly and concisely with all departments and levels of management * Excellent organizational skills with attention-to-detail * Ability to meet multiple deadlines in a fast-paced environment * Ability to effectively manage time and prioritize tasks * Ability to act with integrity, professionalism, and confidentiality * Proficiency with Microsoft Office * Familiarity with NetSuite * Strong problem-solving skills, especially under time constraints * Ability to identify and seek needed information What Globalstar offers: * Work/Life Balance: Paid Time Off, Paid Holidays * Financial Benefits: 401(k) Plan with Company Match, Employee Stock Purchase Program, Voluntary and Company Paid Group Life Insurance, Short- and Long-Term Disability Insurance, Medical FSA, Dependent Care, Competitive Salaries * Health & Wellness: Health Insurance, Dental Insurance, Vision Insurance, Employee Assistance Program, Comprehensive and Interactive Wellness Program
$101k-142k yearly est. 60d+ ago
BigData Engineer with Spark, Python, Scala and Java
Jobsbridge
Data engineer job in San Diego, CA
Hello, Greetings from Jobsbridge! Jobsbridge, Inc. is a fast growing Silicon Valley based I.T staffing and professional services company specializing in Web, Cloud & Mobility staffing solutions. Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Job Description 1-2 years of SPARK Streaming experience with Scala, Python and Java in real time production exp. • Total IT around 6yrs to 8yrs is good enough. We don't need Architects, just need smart coders • Develop and maintain our Big Data pipeline that transfers and processes several terabytes of data using Apache Spark, Python, Apache Kafka, Hive & Impala. • Design and build reports and dashboards using Tableau or other reporting tools • Perform adhoc data analysis, data processing, data visualization using SQL and other scripts • Work directly with product stake holders at the company to help them solve their most difficult problems. • Excellent Programming skills using Python, Scala, Perl, Shell, etc. • Familiarity with SQL and NoSQL technologies. • Experience with Production Hadoop ecosystem. • Proficiency with relational databases and SQL. • Experience with Tableau or other reporting tools. • Well versed in software development principles and processes, including: analysis, design, and continuous delivery. • Good communication skills that can deal with diverse types of people from Data Science, Marketing, Finance, Product Management and QA groups. Qualifications Apache Spark, Python, Apache Kafka, Hive & Impala, Scala, Python and Java Additional Information Only GC/Citizen,OPT,EAD,H4
$98k-137k yearly est. 60d+ ago
Data Engineer
PMAT 3.9
Data engineer job in San Diego, CA
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether you're an experienced engineer or just beginning your career, you'll work alongside experts who are committed to solving mission-critical problems. If you're passionate about using your skills to make a real difference, apply today and become part of a team that's shaping the future of defense technology! About the role: PMAT has an immediate need and is seeking two (2) experienced Data Engineers to support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the "sensor-to-shooter" timeline. Responsibilities: Build and optimize robust data pipelines: ingestion, transformation, storage, and governance. Convert between tactical data formats, e.g., XML, JSON, GEOJSON, Cursor-on-Target (CoT), JREAP-C, Link-16. Implement automation using CHRON/CRON jobs and data orchestration frameworks (Apache Airflow, Kafka, AWS Step Functions). Architect and maintain scalable data stores (e.g., Apache Iceberg, Elasticsearch) with schema evolution and deduplication. Enable real-time data indexing and fast query performance. Implement MIL-STD-6016 (Link-16) and MIL-STD-3011 (JREAP) message handling. Support integration or development of Cross-Domain Solutions (CDS) for secure, policy-based data transfers. Present complex data flows and technical insights effectively to leadership and stakeholders using clear data models and visual aids. Required Skills and Experience: 5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software engineer Hands on Keyboard- Developer Skillsets Fluency in Python, can code without Modern libraries. Experience in format conversions with some of the following: XML, JREAP-C, COT (cursor-on-target), JSON, GEO JSON, UMF/UHR, text link-16, Tapil-J, and other Tactical Data Links. Experience in natural language parsing (NLP) and using regular expressions, RegEx Experience implementing CHRON/CRON jobs Experience in data pipeline orchestration, ETL, orchestration tools (e.g., Kafka, Apache Airflow, AWS Step Functions) Focused experience implementing and monitoring data stores i.e. (Apache Iceberg, elastic search, data lake management) Experience with schema evolution, dataflow and governance Experience with real-time search and analytics engines for indexing and querying semi-structured data Focused experience optimizing data store queries for speed and deduplication Direct experience implementing MIL-STD-6016 and MIL-STD-3011 Can translate data between source and destination schemas Data modeling and PowerPoint presentations for leadership and stakeholder presentations Experience working with or developing Cross Domain Solutions (CDS) systems. Preferred Skills and Experience: Familiarity with DoD data architecture principles (e.g. DoDAF, CADM). Experience with DataOps or similar mission-critical pipeline automation (e.g., deduplication, schema normalization). Any experience leveraging universal data distribution architectures within DOD operations. Education and Certification Requirements: Bachelor's degree in Data Science, Computer Science, Engineering, or related STEM field. Citizenship and Clearance requirements: US Citizenship and an active TS SCI clearance required Location: PMAT office and NAVWAR Old Town Complex in San Diego, CA Travel: Under 10% Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ
$98k-138k yearly est. 60d+ ago
Navy Data Engineer
Prevailance 4.2
Data engineer job in San Diego, CA
Full-time, Contract Description is contingent upon successful contract award. At Prevailance, we deliver high-impact results with integrity and purpose. Our professionals support mission-critical efforts across defense and national security domains, guided by excellence and trust. We are seeking an experienced and mission-focused professional to join our team as a Data Engineer. Responsibilities include, but not limited to: Administer the Naval Ship Tracking, Reporting, and Analysis Tool (NSTRAT) system to monitor applications and services, identify issues, and ensure system availability Develop, test, and maintain software tools to support data analysis and event reconstruction Perform database entry, management, and monitoring of automated backup processes Conduct database query analysis to support reporting, system troubleshooting, and data-driven decision-making Requirements Qualifications: Minimum of five (5) years of Navy experience managing Navy computer networks Minimum of three (3) years of experience using Python and other programming tools to script data analysis products Strong analytical and problem-solving skills with proven ability to prepare technically accurate reports, briefings, and correspondence Ability to obtain and maintain FLANKSPEED IL6 AZURE Privileged Access through certifications and/or training, including: AZURE Administrator Associate (AZ-104) IAT Level II certification in accordance with DoD 8750 Approved Baseline Other certifications as required by FLANKSPEED IL6 services Desired Qualifications: Experience with Azure administration and cloud services Familiarity with relational databases and SQL for data analysis and system support Demonstrated ability to troubleshoot complex systems and ensure secure, reliable operation in Navy environments Clearance: Must be able to obtain and maintain a Secret Clearance If you meet these qualifications and are ready to make an impact, we encourage you to apply today! Prevailance, Inc. proudly supports veterans as a member of the V3 (Virginia Values Veterans) program and the Hire Vets initiative. Prevailance provides a comprehensive benefits package to eligible employees, designed to support health, wellness, and financial security. Our benefits include: Medical Insurance TriCare Supplemental Dental Insurance Vision Insurance Life & Accidental Death & Dismemberment (AD&D) Coverage 401(k) Plan with Company Matching Contributions Paid Time Off (PTO) 11 Paid Holidays Education Reimbursement Program Computing Device Reimbursement Program Prevailance, Inc. is an Equal Opportunity/Affirmative Action Employer. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, citizenship status, marital status or any other consideration prohibited by law or contract. Prevailance, Inc. participates in E-Verify and is VEVRAA Compliant. Salary Description $80,000 - $130,000
$80k-130k yearly 60d+ ago
Senior Data Engineer
Ntent
Data engineer job in Carlsbad, CA
Senior Data Engineer Position: Full time Location: Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company's proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry. About the Opportunity: We are a dynamic company looking for our next great hire to join our team in Carlsbad, California. We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem. Duties and Responsibilities: Design, implement, and support ETL data pipelines in a big data environment Maintain and improve existing data logging, pipeline and analytics platform Architect and design next generation data platform with appropriate new technologies Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs Design, implement, and support a SQL based data warehouse Ensure reliability and accuracy of data logging and processing for all NTENT products Skills and Qualifications: Graduate degree in Computer Science or a similar field, or equivalent work experience 3+ years working in Data Engineering or Data Warehousing Experience with T-SQL, specifically Microsoft SQL Server Experience with Database design and schema definition Experience with Hadoop ecosystem (Hive, Pig, Oozie) Experience with Python Experience with Data Visualization and Reporting platforms The following experience is a plus: Tableau Kafka Spark The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team. We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.
$98k-138k yearly est. 60d+ ago
Staff Data Scientist - Experimentation & Measurement
Playstation Global 4.8
Data engineer job in San Diego, CA
Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement San Diego, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-GD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $194,600 - $291,800 USD Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
$194.6k-291.8k yearly Auto-Apply 53d ago
Data Scientist
Genomic Life
Data engineer job in San Diego, CA
Job Description Genomic Life is seeking an experienced Data Scientist to join our team! The Data Scientist is responsible for analyzing large-scale genomic data using statistical methods, machine learning, and bioinformatics to find and deliver clinical insights. Working with the Medical Affairs group as part of the Data Engagement Team, you will be focused on compiling, analyzing, and interpreting large data sets to identify trends and uncover insights. You will partner with the Head of Medical Affairs and other key stakeholders to deliver these high-quality insights to Genomic Life's clients and demonstrate the value of genomics and navigation. Job Type: Full-time Location: San Diego or Remote Salary Range: $110-150k Responsibilities: Compile, analyze, and interpret large data sets to identify trends, patterns, and provide key business and client insights Refine and enhance client-centric reporting requirements and continuous data insights for scientific and commercial initiatives Develop a database resource for broad analysis and assessment across multi-sourced genetic and clinical data Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases Develop reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools Identify relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets Maintain continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support Design, develop, and implement valuable data-driven solutions for the organization Serve as a lead data strategist to identify new datasets that can be leveraged through our product capabilities Collaborate with the product team to implement analytical models and standard validation procedures for data sets to release to production Transition validated data sources to a self-service analytic and reporting framework Work to develop AI generated insights for analytics and forecasting Partner with the product and operational teams to enhance our internal processes for business analytics, data quality monitoring, data issue resolution and operational excellence Requirements: 5 or more years of experience in a data scientist role Bachelor's degree or higher in computer science, mathematics, engineering, or a related field Deep experience with medical data/records Experience with genetic data, genetic terminology and HPO terms Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Knowledge of AWS managed services is preferred (S3, DynamoDB) Ability to work effectively in a dynamic, research-oriented group with multiple concurrent projects and competing priorities Strong written and verbal communication with experience preparing manuscripts a plus Strong analytical capabilities Strong attention to detail, and excellent time-management skills Knowledge of Salesforce.com Knowledge of JIRA, Confluence, and other project management tools Ability to work in fast paced, start-up environment Experience in the employer benefits space is preferred About Genomic Life: Genomic Life's mission is to be the best in the world at navigating individuals to the genomics that matter. We provide clinically relevant proactive genetic testing all in one program, making it easy to prevent, diagnose, and treat disease. Our nationwide team is driven to make a difference for the members, clients, and patients we serve. We are bringing the science of today to the medicine of tomorrow. We are passionate about what we do and the extraordinary transformation that genomics will have on healthcare.
$110k-150k yearly 29d ago
Data Scientist - Academics
Art of Problem Solving 3.7
Data engineer job in San Diego, CA
Job Description At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k - 169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.
$102k-145k yearly est. 2d ago
Data Scientist II (RWD)
Veracyte 4.6
Data engineer job in San Diego, CA
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced data scientist to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world's largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. The primary objective of this role is to analysis millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Assist in analyzing real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs. Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text. Assist in conducting statistical analysis and survival modelling for the clinical events defined from real-world data. Ability to visualize finding from the data and summarize them in a coherent story. Support data scientists in developing digital pathology AI models Work with bioinformatician, statistician, and medical experts in manuscripts. Who You Are: REQUIRED EXPERIENCE: PhD in Statistics, Data Science, or equivalent field. 3+ years of experience of data/applied scientist role or equivalent. Experience in working with real-world data of insurance claims and EHR records Proficient in SQL and R. Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent. Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable. Knowledge of basic bioinformatics, genomics, and cancer biology Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields Research experience with developing AI models such as LLM, vision/time series foundation models. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$101,000-$140,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************
$101k-140k yearly Auto-Apply 4d ago

Learn more about data engineer jobs

How much does a data engineer earn in La Mesa, CA?

The average data engineer in La Mesa, CA earns between $84,000 and $159,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in La Mesa, CA

$116,000

$84,00010%

$116,000Median

$159,00090%

What are the biggest employers of Data Engineers in La Mesa, CA?

The biggest employers of Data Engineers in La Mesa, CA are:

PMAT
SAIC
The Marlin Company
Fair Square Financial
ICW Group
Insurance Company of The West
Jobsbridge
Practicetek
Veracyte
Accenture

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Data engineer jobs in La Mesa, CA

Cybersecurity Engineer III **

Advisory Azure Data Architect

Data Scientist III

Data Scientist

Data Scientist - Academics

Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA

Data Scientist

Data Science Engineer

Lead Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Handling Subsystem Satellite Engineer

BigData Engineer with Spark, Python, Scala and Java

Data Engineer

Navy Data Engineer

Senior Data Engineer

Staff Data Scientist - Experimentation & Measurement

Data Scientist

Data Scientist - Academics

Data Scientist II (RWD)

Learn more about data engineer jobs

How much does a data engineer earn in La Mesa, CA?

What are the biggest employers of Data Engineers in La Mesa, CA?