agilon health · 3 days ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Design, build, and implement quality data pipelines that deliver high-quality data models to agilon systems and analytics applications.

Play a key part in building and maintaining foundational data infrastructure to support data architecture and product development.

Act as a liaison and leader between business & technical resources as needed.

Partner with Data Engineers, Data architects, domain experts, data analysts, data scientists, and other teams to build foundational data sets that are trusted, well understood, and aligned with business strategy and to enable self-service analytics.

Set up and participate in source code version control with Git and Azure DevOps.

Partner with data governance bodies & product management teams to maintain a high degree of documentation and ETL transparency.

Qualification

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Data warehousingSQLDimensional modelingCommon data modelData pipelinesRelational data sourcesDimensional modeling vs 3NFLarge data setsData transformation technologiesSSISPythonAzure DatabricksObject-oriented programmingJavaScalaVersion controlAzure DevOpsGit reposInformation securityHIPAA protocolsProblem-solvingCollaborativeMentoringMedicare Advantage dataGlobal risk environmentClaimsEligibilityMMRRAPSMOR

Required

Minimum of 5 years’ experience with data warehousing methodology & data engineering tools within a health care payer or provider environment, preferably within a managed care organization.

Very strong experience with SQL, dimensional modeling, common data model (CDM) concepts, and optimizing/scaling data pipelines that support a data warehouse environment.

Excellent understanding and knowledge of relational data sources and the difference between dimensional modeling and third normal form (3NF).

Passion to work with large data sets and to solve complex & unique business problems with data engineering methods.

Experience working and mentoring junior-mid level data engineers in large scale projects.

A desire to work in a collaborative, team-based environment with both business & technical resources.

Bachelor’s in Computer Science, Information Systems, Engineering, Mathematics, or a related field.

Deep knowledge of data transformation technologies using SQL Server Integration Services (SSIS), Python, Azure Databricks, or other Big Data solutions.

Proficiency in at least one object-oriented programming language, preferably Python, Java, or Scala.

Experience working in version control environments using Azure DevOps or equivalent and Git repos to manage large scale coding projects.

Experience working with information security teams to ensure HIPAA protocols and all security standards are adhered to all times.

Preferred

6+ years’ experience with Medicare Advantage data in a global risk environment (claims, eligibility, MMR, RAPS, MOR, Capitation files) is highly desired.

Exposure to working with resources such as actuarial, healthcare/medical economics, finance and/or clinical analytics requirements is a major plus.

Experience building different data model types, including Star Schema, Common Data Model (CDM) or equivalent methodologies/techniques.