Senior Data Engineer — AI-Powered Pipelines (Remote)

Humana Inc

Olympia (WA)

Remote

USD 118,000 - 162,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Generous PTO
401K match
Well-being program
Annual Incentive Plan
Paid Volunteer Time Off

Job summary

Humana Inc. is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data‑driven solutions.

You will collect, store, and analyze large data sets, collaborating with software engineers and analytics teams to deliver reliable, enterprise‑grade data platforms. You will evaluate technologies, implement data workflows on cloud platforms (Azure), and apply best practices to support business and analytical needs while protecting member PHI/PII in a healthcare

Qualifications

  • Bachelor’s degree in science, engineering, or computing or equivalent practical experience.
  • 8+ years of experience designing and building production-grade batch data pipelines for data ingestion and transformation.
  • 8+ years of overall experience in data engineering or related roles.
  • Proficiency with SQL, Databricks, Python, Apache Spark, Git, and Azure Services (Synapse, Azure ADLS Gen 2).
  • Strong understanding of relational database principles, data modeling, and data warehousing.
  • Experience with Big Data querying tools.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and workflows using Azure Databricks.
  • Develop and maintain SAS programs and SSIS packages for data processing.
  • Write and optimize complex SQL queries for data transformation and analytics use cases.
  • Design and build ETL/ELT pipelines integrating data from multiple sources.
  • Monitor, troubleshoot, and resolve complex data processing issues with root cause analysis.

Skills

SQL
Databricks
Python
Apache Spark
Git
Azure Services
Big Data querying tools

Education

Bachelor’s degree in science/engineering/computing

Tools

SAS
SSIS

Job description

Humana Inc. is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data‑driven solutions.

You will collect, store, and analyze large data sets, collaborating with software engineers and analytics teams to deliver reliable, enterprise‑grade data platforms. You will evaluate technologies, implement data workflows on cloud platforms (Azure), and apply best practices to support business and analytical needs while protecting member PHI/PII in a healthcare

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