Data Engineer jobs at Northwell Health - 1606 jobs

A leading global healthcare company in Sunnyvale is seeking a Principal Data Scientist to analyze real-world data and develop machine learning models that optimize diabetes care devices. The ideal candidate will have extensive experience in data analytics, programming skills in Python and R, and a strong background in statistical analysis. This position offers a competitive salary range from $128,000 to $256,000 based on experience and location. #J-18808-Ljbffr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. The Opportunity: Our Principal Data Scientist will work out of our Alameda, California location. This individual works as an integral part of a collaborative data and analytics team and responsible for analyzing real-world data to generate insights and develop machine learning models that drive the development and optimization of devices in Abbott Diabetes Care. The role requires drawing insights, and presenting results in a cohesive, intuitive, and simple manner to the functional stakeholders utilizing technologies to collect, clean, analyze, predict, and effectively communicate insights. Key functional stakeholders include research & development, clinical, medical, regulatory and market access teams. What you will do: Analyze large real-world datasets including device data, electronic health records (EHR), claims data, labs, and patient registries. Lead the design and execution of RWE studies including but not limited to: Treatment optimization and understanding treatment patterns Comparative effectiveness analyses Drug and device utilization Natural history and burden of disease Healthcare resource utilization Define and develop research strategy in line with business goals and guide the execution of the work across the team Collaborate with clinical, medical, regulatory, product managers and market access teams to integrate RWE into product development and lifecycle management. Execute key studies autonomously including but not limited to: Conduct advanced statistical analyses to determine trends and significant data relationships using techniques such as regression, time-series forecasting, clustering, decision trees, simulation, and scenario modeling. Develop and validate machine learning models and algorithms to apply predictive analytics to future data. Utilize technologies to collect, clean, analyze, and effectively communicate insights, including model logic and limitations. QUALIFICATIONS Bachelor's Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred Advanced degree in Life or Physical Science, Bioengineering, Biostatistics, Biomedical Engineering, Epidemiology or closely related discipline is preferred Minimum 8 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software The base pay for this position is $128,000.00 - $256,000.00. In specific locations, the pay range may vary from the range posted. #J-18808-Ljbffr

A pioneering AV technology firm in San Francisco is seeking an experienced engineer to join their perception team. You'll focus on stress testing and improving their perception systems, working with state-of-the-art techniques and tools to enhance their autonomous haulage system. Ideal candidates are proficient in Python, Git, and have experience with computer vision techniques. This role offers significant growth opportunities in the innovative field of autonomous technology. #J-18808-Ljbffr

Who We Are Tonal is the smartest home gym and personal trainer. With cutting-edge hardware, AI-driven coaching, and the world's largest dataset of real-world strength training, we're redefining how people train. Our platform combines data from millions of workouts, sensors, and integrations to deliver personalized training, enhance coaching, and measure progress in entirely new ways. We're passionate about transforming lives through strength, performance, and health. At Tonal, innovation, science, and data come together to create a training experience that's personal, motivating, and measurable. Overview As a Staff Data Engineer, you will shape the backbone of Tonal's data platform. You'll design and scale systems that bring together massive volumes of workout, sensor, and health-related data while ensuring security, reliability, and trust. This role requires a deep understanding of compliance and security standards and the ability to build infrastructure that protects sensitive information while fueling product innovation, AI, and analytics. What You Will Do Architect secure and scalable data systems that support Tonal's growth and meet regulatory standards. Build and optimize data models and pipelines across diverse sources: sensors, workouts, health integrations, CRM, payments, and content. Establish controls for access, encryption, anonymization, monitoring, and auditability. Define and enforce best practices for managing sensitive data, including PHI and PII. Collaborate with teams across Product, Engineering, Sports Science, and Healthcare to translate needs into compliant solutions. Conduct risk assessments and implement safeguards guided by NIST frameworks. Support SOC 2 audits by documenting and demonstrating effective security controls. Mentor engineers and scientists, setting high standards for secure data engineering. Continuously evolve the platform, introducing new tools and frameworks to balance innovation with strong regulatory posture. Who You Are 8+ years of experience in data engineering, or 6+ years with a Master's degree (or equivalent). Strong skills in SQL, Python, and distributed data processing (Spark, Databricks, or similar). Experience building pipelines with DBT, Airflow, Fivetran, or related tools. Background in data modeling and warehousing with systems like Snowflake, Databricks, or Redshift. Hands-on experience working with regulated environments and sensitive data. Familiarity with frameworks such as HIPAA, SOC 2, and NIST for security and compliance. Skilled in access control design, audit logging, encryption, and governance. Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences. Known for technical leadership and mentoring, raising the bar for engineering quality. Extra Credit Experience with fitness, healthcare, IoT, or sensor data. Knowledge of privacy-preserving techniques (k-anonymity, l-diversity, differential privacy). Exposure to production ML/AI pipelines involving sensitive data. Background in connected fitness, digital health, or regulated healthcare products. At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation. #J-18808-Ljbffr

A leading fitness technology company in California is looking for a Staff Data Engineer to design and scale secure data systems. The ideal candidate will have extensive experience in data engineering and a deep understanding of compliance and security standards. Responsibilities include building data pipelines and collaborating across teams to ensure regulatory compliance. The company values diverse backgrounds and encourages applications from all qualified candidates. #J-18808-Ljbffr

A leading identity platform company in San Francisco is seeking an experienced Data Infrastructure Engineer. You will design and maintain data platforms, implement data models, and collaborate across teams to drive analytics innovation. Ideal candidates have 3+ years in software engineering with proficiency in Python and experience in cloud technologies. This role offers comprehensive benefits and fosters a collaborative culture. #J-18808-Ljbffr

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr

A healthcare technology company is seeking an experienced Technical Product Manager to lead the Data Analytics & AI platform initiatives. In this role, you'll define the vision and strategy for the platform while collaborating with cross-functional teams. Candidates must have over 10 years of experience in product management, solid technical skills in Data Analytics and AI, and a proven track record in people management. A commitment to a diverse and inclusive culture is essential. #J-18808-Ljbffr

A leading health services organization is seeking a Principal Data Scientist to drive AI innovation and develop reliable AI systems. The role involves designing AI solutions, building autonomous agents, and collaborating with various teams. Candidates should have a master's or Ph.D. and at least 10 years of relevant experience, with expertise in programming languages like Python and R. This position is remote and offers competitive compensation and benefits. #J-18808-Ljbffr

A leading healthcare company seeks a Principal Data Scientist to drive AI innovation in improving healthcare quality. The role involves designing AI solutions, building autonomous systems, and collaborating with business teams. Candidates must have substantial experience in data science, particularly with AI and NLP, along with advanced technical skills in Python and machine learning frameworks. This role offers a competitive salary, benefits, and a chance to significantly impact healthcare outcomes. #J-18808-Ljbffr

A leading healthcare company is seeking a Principal Data Scientist to drive AI innovation, focusing on building reliable AI systems to enhance healthcare outcomes. The candidate will have extensive experience in data science, particularly in AI and NLP applications. This remote role offers competitive compensation and a variety of benefits including generous PTO and health coverage effective from day 1. #J-18808-Ljbffr

A healthcare-focused company is seeking a Principal Data Scientist to lead AI innovation aimed at enhancing healthcare quality. You will design AI systems, collaborate with various teams, and provide strategic insight for improving patient care through advanced technology. The ideal candidate will have a strong background in data science, particularly in AI and NLP, with the capacity to build scalable AI solutions, and possess excellent communication and analytical skills. #J-18808-Ljbffr

A leading healthcare innovation firm is seeking a Principal Data Scientist to lead AI innovations and develop interpretable AI systems that improve healthcare experiences. Candidates must have a Master's degree or Ph.D. and over 10 years of experience, particularly in AI and NLP applications. The position offers a generous benefits package and the opportunity to work in a collaborative environment focused on impact and excellence. #J-18808-Ljbffr

Shape the Future of Predictive Medicine. One-Year Project. Innovators Wanted! Are you driven by curiosity, energized by ambiguity, and passionate about transforming healthcare? Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is searching for a bold, entrepreneurial-minded Applied Data Scientist - Regulatory and Statistical for a dynamic, one-year project to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma. You'll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML - fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer. Ideal Candidate: Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow). Skilled in survival or clinical modeling; thrive where rigor meets speed. Startup thinkers with a thirst for discovery Individuals who thrive in fast-paced, risk-friendly environments Problem solvers who see challenges as opportunities Team players eager to see their ideas put into action Responsibilities: Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging). Collaborate with engineers to define and extract features. Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards). Translate results into clinician-friendly insights and contribute to IP and regulatory filings. Credentials & Qualifications: Master's degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Familiarity with Snowflake or modern data-engineering workflows preferred. Join a project that's not just about data - it's about revolutionizing patient care. Help us bridge the gap between today's personalized medicine and tomorrow's predictive breakthroughs. If you're ready to take risks, drive results, and change the future of medicine, apply today! Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.

A leading healthcare company based in Honolulu, Hawaii, is seeking a Senior Data Architect to lead enterprise-grade data architecture initiatives. The ideal candidate will design and enforce data governance policies, oversee advanced ETL pipelines, and integrate AI/ML models into data systems. This position offers a salary range of $106,900 - $147,000 annually, as well as various competitive benefits including healthcare and retirement plans. #J-18808-Ljbffr

A leading health services company is seeking a Principal Data Scientist to drive AI innovation. This role requires a Master's degree or Ph.D. and 10+ years of experience in data science, including AI and NLP applications. Responsibilities include designing AI solutions, building autonomous agents, and collaborating with business teams. The ideal candidate has proficiency in Python, extensive analytical skills, and exceptional communication capabilities. The position is remote and offers competitive pay and benefits. #J-18808-Ljbffr

A healthcare services provider in Boston is seeking a Senior Data Architect to design and implement data architectures that support critical financial decision-making. This role involves integrating AI/ML models and the use of advanced data architecture to enhance value. The ideal candidate will possess extensive experience in data integration and analytics, with a strong background in Oracle ERP Cloud and related technologies. Competitive compensation and benefits are offered. #J-18808-Ljbffr

A healthcare services company is looking for a Senior Data Architect to shape financial data strategies using advanced technologies. You will design enterprise-grade data architectures, lead the integration of AI/ML models, and ensure data quality across platforms. This role requires collaboration with various stakeholders to translate business needs into technical solutions. The ideal candidate will have at least 3 years of experience in Oracle ERP Cloud and a bachelor's degree in Computer Science or a related field. #J-18808-Ljbffr

We're looking for a hands-on Lead Data Engineer to architect and build the data pipelines and infrastructure that power our analytics, ML, and business intelligence capabilities. You'll design greenfield data solutions while modernizing our existing systems to create a scalable, reliable, and performant data platform. Leads the implementation of information systems to manage financial functions for Patient Financial Services/Accounts. Oversees projects and initiatives to meet user requirements. Serves as a liaison between department (user) and vendors. Ensures systems compliance to applicable laws, regulatory standards and policies. This is a unique opportunity to own critical data infrastructure from the ground up. You'll spend your time building robust ETL/ELT pipelines, optimizing data models, building reusable and extensible frameworks, and mentoring the team all while solving complex challenges around data ingestion, transformation, and orchestration at scale. Job Responsibility Coordinates implementation of information system initiatives to meet user requirements. Communicates with user departments and project teams regarding implementation activities and system changes to ensure feasibility. Develops system specifications that appropriately meet department requirements. Develops systems to track data in comprehensive and innovative ways. Collaborates with hospital departments and outside vendors to facilitate managed care contract implementation. Coordinates and maintains communication between the hospital and vendor(s) regarding system applications. Performs periodic post-installation reviews of system initiatives. Conducts system-wide in-services with managers and staff, as necessary. Ensures systems compliance to applicable laws, regulatory standards and policies. Uses knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial. Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification Bachelor's Degree required, or equivalent combination of education and related experience. 5-7 years of relevant experience including technical experience with Apache Hadoop, NoSQL, setting up cloud clusters, Apache Spark, and other advanced data science and big data technologies, required. HIGHLY PREFERRED Extensive Google Cloud Platform (GCP) experience Previous experience as a Data Platform Engineer/ Data Engineer/ Analytics Engineer for a large organization Experience in/ with Python (FastAPI, Pandas, Polars, etc.) Experience with infrastructure as code, specifically Terraform Extensive experience with Airflow, DBT, and/ or Dataform Experience with OpenLineage, OpenMetadata and data contracts Extensive experience with BigQuery, CloudSQL, Pub/ Sub, Dataflow, Cloud Storage, etc. Experience with the Cloud Healthcare API/ FHIR/ HL7 *Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).