Company :

AHI agilon health, inc.

Location :

Remote - USA

Job Title :

Lead Data Engineer

Job Description :

agilon health is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care for seniors.

As a Lead Data Engineer of agilon health’s Technology Group, step into a key role on an expanding data engineering team to build our data platforms, data pipelines and data transformation capabilities all running on AWS. You'll help define and implement our data platform strategy on the Cloud, have a meaningful impact on our customers and work in our high energy, innovative, fast paced agile culture.

How You'll Contribute:

• Implement, operationalize and scale our cloud-based data lake to meet critical business and customer needs

• Develop and implement frameworks to improve current data acquisition / ingestion and enrichment on all data layers of the SaaS platform.

• Construct, implement, and maintain extract load and transform (ELT) workflows with cloud native technology or open-source technologies (Apache Spark, EMR)

• Partner with Data Science team to define and Implement best practices for data acquisition and transformation of data sets for ML training workflows.

• Serve as one of the lead contact and partner with vendors for data flow and processing

• Management/Troubleshoot of all data pipeline services.

• Work with front-end developers / staff and customers to support reporting needs of business by restructuring data, creating tables/views, or virtual warehouses accessible in the cloud platform.

What You'll Bring:

• 5+ years of hands on experience with designing and implementing end to end data services from ingestion, transformation and access in a cloud environment

• Hands on experience working with cloud data warehouse / data lake solutions (Snowflake, Redshift, Google BigQuery or equivalent platform.

• Experience in relational database (e.g., PostgreSQL, MySQL, MS SQL Server, Oracle).

• Experience working with semi-structured and unstructured data (JSON, XML, etc)

• Proficiency in data modelling, very good understanding of data management concepts such as 3NF, Dimensional and their specific applications

• Strong software engineering experience and deep familiarity programming languages such as Python, Java, Node.js, or equivalent.

• Deep experience working with at least one public cloud solution AWS, Azure, or GCP.

• Experience working BI platform such as Talend, Informatica, Qlik, Tableau, or equivalent solution.

• Undergraduate degree from accredited 4-year institution.

What Makes You Stand Out:

• Experience working in scrum or agile teams & understanding of CI/CD pipelines.

• Experience acting or working in a BI consultant role, comfortable working with business leadership across corporate verticals to translate business requirements into data architecture.

• Experience with health care data sets