Ensemble Health Partners · 6 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$91K/yr - $1,175K/yr

5+ years exp

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Responsibilities

Develop, test, deploy, monitor, maintain, and continuously improve scalable data pipelines and builds our new API integrations to support continuing increases in data volume and complexity.

Translate product concepts into project commitments that deliver incremental value to our customers frequently and with high quality.

Actively contribute to the engineering team through code reviews and hands-on design sessions.

Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Review and recommend architectural patterns for data access and performance that align with the company’s best practices and platforms.

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.

Microsoft SQLBig data technologiesPythonMicrosoft AzureData quality monitoringPolyglot storage architecturesDelta tablesParquet filesComponentized architecturesEvent driven patternsHealthcare datasetsHL7 communication protocolFormal architectureDesign patternsEngineering fundamentals

Required

5-7 Engineering experience, healthcare industry preferred.

5+ years of coding experience with Microsoft SQL.

3+ years working with big data technologies including but not limited to Databricks, Apache Spark, Python, Microsoft Azure (Data Factory, Dataflows, Azure Functions, Azure Service Bus) with a willingness and ability to learn new ones

Excellent understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery and DevOps

Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent

Experience with Delta tables as well as Parquet files stored in ADLS

Experience delivering applications using componentized and distributed architectures using event driven patterns

Demonstrated ability to communicate effectively to both technical and non-technical, globally distributed audiences

Solid foundations in formal architecture, design patterns and best practices

Experience working with healthcare datasets

Familiarity with HL7 communication protocol

Very strong attention to detail

Bachelors Degree or Equivalent Professional Experience