Clinical Data

Clinical Data Engineer Jobs

4 jobs found

3d ago

Population Health Data Engineer

Software Technology Inc Charlestown, MA

Charlestown, MA

3d ago

Full time Applied Epic Claims Data Pipelines Clinical Data

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Job Description

Software Technology Inc is seeking two Population Health Data Engineers with deep Epic data ecosystem expertise for a hybrid role based in Charlestown, MA, with remote options, focusing on scalable data pipelines, clinical and claims data integration, and population health analytics initiatives.

Responsibilities

Architect and maintain scalable data pipelines for population health programs and claims analytics.
Leverage Epic data platforms such as Clarity, Caboodle, Chronicles, Registries and Rosters in daily work.
Integrate clinical and claims data to enable longitudinal, patient-level analytics.
Design and optimize data models supporting quality measures.
Design and optimize data models for risk stratification.
Design and optimize data models for utilization and cost analytics.
Support care management initiatives through data solutions.
Develop and maintain risk adjustment models including HCC, RAF, and MARA.
Ingest, transform, and validate medical and pharmacy claims data.
Work with Milliman MedInsight data models for payer-provider analytics and benchmarking.
Build and optimize ELT processes on modern cloud platforms.
Collaborate with Healthy Planet, clinical, quality, and analytics teams to deliver data-driven solutions.
Ensure data quality, governance, and HIPAA compliance across pipelines and models.
Tune performance for large datasets and complex SQL queries.

Requirements

Strong hands-on experience with Epic Clarity and Caboodle
Experience with Chronicles data structures
Experience with Epic Registries / Healthy Planet
Background in Population Health and Value-Based Care
Proficiency in Risk Adjustment (HCC, RAF, MARA)
Snowflake data warehousing and related features
DBT (Data Build Tool) expertise
Dynamic Tables (Snowflake) experience
Advanced SQL and data modeling capabilities
Experience building and maintaining data pipelines
Experience with medical and pharmacy claims data
Experience with payer-provider analytics
Milliman MedInsight experience (preferred)
Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering or related field
6+ years of data engineering experience
Healthcare domain experience, specifically Population Health analytics and payer environments (preferred)

Technologies

Epic Clarity
Epic Caboodle
Chronicles
Epic Registries / Healthy Planet
Snowflake
DBT (Data Build Tool)
Dynamic Tables (Snowflake)
Milliman MedInsight
SQL

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12d ago

Sr. Clinical Informatics Data Engineer

Mingle Health Remote 🌍 Remote

Remote

12d ago

Full time Senior Claims Data Pipelines Clinical Data

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Job Description

Mingle Health seeks a Senior Clinical Informatics Data Engineer to translate CMS specifications into robust database structures for analysis and quality measures. The role involves building data pipelines, ensuring data quality, and supporting CMS submissions and Medicare reporting for healthcare clients. This position is remote and collaborative within a distributed team.

Responsibilities

Understand, interpret, and codify CMS specifications for the Quality Payment Program (QPP)
Analyze accuracy and performance of claims and clinical data using MS SQL and related tools
Utilize internal web based applications to provide data mapping for claims and clinical datasets
Translate measure specifications into database objects used to calculate quality measures
Provide consultative support to assigned clients, including health practices and hospital systems, to facilitate successful CMS submissions
Develop ad hoc SQL reports to support client consulting engagements
Validate data load processes into clinical data repositories
Collaborate with colleagues to document data needs and metric definitions
Perform quality assurance on data integration processes and repository metrics
Operate effectively within a distributed, remote team environment and contribute to both client facing and internal development projects

Requirements

Minimum 5 years of experience in healthcare or clinical informatics
Experience with medical or clinical information systems used by clients, such as EHR or Practice Management systems
Familiarity with medical processes and terminology, physician office workflows, or billing including Medicare and other payers
Experience with Quality Reporting and related programs
Understanding of MIPS and APP programs
Ability to review, interpret, compare, and edit clinical documentation, such as CMS Measure Specifications Manual for Claims and Registry Reporting
Capacity to listen to client requirements and translate them into actionable solutions
Guidance for clients to construct queries, extract data, assess quality, and continually improve data quality, flow, and metrics
Strong programming skills with proficiency in SQL
Ability to develop, execute, and evaluate Microsoft SQL queries
Experience building and optimizing data pipelines
Develop pipelines to transform raw data into reliable information for analysis
Build data migration scripts and procedures using SSIS and/or Python
Facilitate importing third party data into data structures using database, programming, and ETL tools to maintain efficient loading processes
Investigate exceptions in data migrations
Contribute to planning, analysis, design, and development of data management, data integration, data warehouse, and BI solutions
Ability to analyze large datasets in detail to resolve issues, including reading error logs, executing stored procedures, and understanding data structures
Basic understanding of best practices for effective database design and maintenance
Comfort with a rapidly changing environment, incomplete documentation, and fluid roles
Strict adherence to HIPAA privacy and security policies

Technologies

SQL, SQL Server, SSIS, Python

Location

Remote

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1mo ago

Research Data Engineer II- Cabin

University of Rochester Rochester, NY

Rochester, NY

1mo ago Closed

$77k - $116k/yr Full time Big Data Clinical Data Data Analysis

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

The University of Rochester is seeking a Research Data Engineer II to design, implement, and sustain data engineering and analytics infrastructure that supports MRI research and neuroimaging workflows within the URMC CABIN environment. The role emphasizes building scalable data pipelines and integration frameworks for multimodal research data.

Location

Rochester, NY (onsite)

Compensation

USD 77,216 - 115,824 per year

Responsibilities

Design, develop, and maintain data engineering and analytics infrastructure to support MRI research, neuroimaging workflows, and multimodal data analysis within the URMC CABIN environment.
Create and sustain scalable data pipelines and software systems enabling researchers to collect, process, manage, and analyze structured and unstructured data produced by MRI scanners, imaging tools, and related platforms.
Develop data integration frameworks to consolidate information from imaging systems, research databases, clinical systems, and analysis environments.
Support the deployment and ongoing maintenance of research data infrastructure, including data repositories, data lakes, and workflow automation systems used in MRI and neuroscience studies.
Collaborate with researchers, engineers, and IT staff to deliver reliable, scalable, and reproducible data and software solutions that enable scientific discovery and advanced imaging analysis workflows.

Requirements

Bachelor's degree in data science, computer science, biomedical informatics, bioinformatics, statistics, engineering, or a related field (required).
At least two years of experience in data engineering, research computing, or data-intensive scientific environments (required).
An equivalent combination of education and related experience may be considered (required).
Proficiency in SQL and at least one additional language such as Python, R, or Java (required).
Experience designing and maintaining ETL pipelines and research data workflows (required).

Technologies

SQL
Python
R
Java
Docker
Singularity
Git
REDCap
Electronic lab notebooks
Biospecimen management systems
DICOM
NIfTI
Linux
High Performance Computing (HPC)
Cloud infrastructure
Data lakes
Data repositories

Knowledge, Skills and Abilities

Strong analytical and problem-solving abilities.
Ability to design scalable and maintainable data architectures.
Strong organizational and project coordination skills.
Ability to work effectively in collaborative, matrix research environments.
Excellent written and verbal communication for interactions with researchers and technical teams.
Ability to present technical concepts clearly to both technical and non-technical stakeholders.
Attention to detail and a commitment to high-quality data and software practices.

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1mo ago

Sr. Data Engineer

Amgen Thousand Oaks, CA

Thousand Oaks, CA

1mo ago Closed

$138k - $173k/yr Full time Senior Clinical Data Cloud Operations

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Senior Data Engineer role at Amgen focused on managing and optimizing the Clinical Data Hub data infrastructure, including cloud-based compute and storage, and designing data pipelines and governance.

Responsibilities

Manage and optimize the Clinical Data Hub data infrastructure and architecture, including cloud-based distributed compute and storage
Design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance
Contribute to the storage, processing, and utilization of large-scale data sets
Collaborate with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment
Ensure data requirements for applications, data scientists, and cross-functional use cases are met, ensuring high performance and reliability
Provide insights and actionable solutions for business clients
May telecommute

Requirements

Master’s degree in Computer Science, Computer Engineering, Clinical Informatics or related field (or foreign equivalent)
2 years of experience in the job offered or in a Data Engineer – related occupation
Experience with Hadoop, MapReduce, or Spark SQL and ability to tune/manage these technologies
Build ETL pipelines to transfer data
Optimize databases for usage
Manage data stewardship and governance
Configure cloud services to orchestrate, monitor, and run end-to-end data warehousing solutions
Model data for translation, linking, and consumption from source to data warehouse

Technologies

Hadoop
MapReduce
Spark SQL

Benefits

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

What You Can Expect

Professional and personal growth and well-being as part of Amgen's commitment to care for others
Competitive benefits and a collaborative culture that supports your journey
Salary range posted for the United States; actual salary based on skills, experience, and qualifications
Total Rewards Plan including health and welfare plans, financial plans for retirement, work-life balance, and career development opportunities

Details

Location: Thousand Oaks, CA (hybrid)
Salary: USD 138,325 - 172,744 per year
Education: Master’s degree in Computer Science, Computer Engineering, Clinical Informatics, or related field
Experience: 2 years

Contact

Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job # R-243900.

Job Type

Full Time position

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Clinical Data Engineer Jobs

Population Health Data Engineer

Sr. Clinical Informatics Data Engineer

Research Data Engineer II- Cabin

Sr. Data Engineer

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