M13 · 3 days ago

Data Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

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Responsibilities

Contributing to the ML engineering work for the AI ML projects, including database and data quality management, feature extraction, data ingestion, data pipeline, CI/CD, MLOps, and incorporating novel data sources (claims, SDoH)

Developing and deploying the data pipelines, including delivering results to clinicians to enable feature extraction from raw EHR data and setting up infrastructure for interoperability across institutions

Researching and developing analytical approaches for identifying, analyzing, and interpreting trends or patterns in healthcare data

Query, structure, and validate data using SQL

Database management and optimization, improving the efficiency, robustness, and stability of databases and queries.

Support the head of Data Engineering in building a strong culture of accountability and ownership in their team, instilling best-in-class engineering practices (e.g., testing, code reviews, DevOps-forward ways of working), and enforcing data quality and documentation standards.

Communicate with clinical collaborators on results

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data analysisHealthcare dataEMRClaims dataSQLData warehousesData lakesRelational DBsLarge-scale data & analytics solutionsAdvanced SQLWindows functionsCTEsJSON dataLateral joinsDeveloping data-intensive softwarePythonProduction settingBuilding ML systemsDeploying production ML systemsAgile methodologyProgramming skillsProblem-solvingCritical thinkingHard workingCloud Platforms AWSCloud Platforms AzureCloud Platforms GCPData Science WorkflowsData EngineeringScalable Data Pipelines

Required

BA / BS in Computer Science or related field

3+ years of experience in data analysis in healthcare data, including EMR and claims data

Excellent critical thinking and problem-solving skills

3+ years of work experience with SQL, data warehouses, data lakes, and relational DBs developing large-scale data & analytics solutions

3+ years of experience with advanced SQL (including using Windows functions, CTEs, JSON data, and lateral joins)

3+ years of developing data-intensive software using SQL and Python in a production setting (ideally including building and deploying production ML systems on top of SQL databases with Agile methodology)

Strong foundation in technical and programming skills (esp. Python)

A “can-do” attitude working in a fast-paced startup