Senior Data Engineer

Humana

Confirmed live yesterday High trust

Closes tomorrow Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $117,600–$161,700 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live yesterday
Closes: Oct 4, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $140k

$107k most similar roles pay here $219k

This role pays less than 75% of similar roles. Most pay $137,350–$199,700 — the shaded band above. At the midpoint, this role pays about $140k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Humana

Humana Inc. is a leading American for-profit health insurance company based in Louisville, Kentucky, specializing in Medicare Advantage plans.

Humana currently has 32 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 16 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins a collaborative team to design, build, and maintain scalable data processing solutions that transform structured and unstructured data into actionable insights. This role involves developing automated pipelines, managing data ingestion from internal and external sources, and ensuring high standards for data quality and reliability within the space technology domain. The engineer will work with cross-functional partners to integrate data solutions into shared architectures while utilizing big data, artificial intelligence, and machine learning techniques. Key technologies include SQL, Databricks, Python, Apache Spark, Git, and Azure services such as Synapse and ADLS Gen 2. Additionally, the role requires developing SAS programs and SSIS packages for downstream processing. The position focuses on solving complex problems related to data volume, performance optimization, and infrastructure improvements while ensuring robust data modeling and warehousing practices.

What does a Data Engineer earn?

Median $162000 from 191 postings across 57 companies.

See salary data

Skills

SQL Databricks Python Apache Spark Azure Synapse ADLS Gen 2 Git SSIS SAS Snowflake ETL ELT Data Warehousing Big Data Machine Learning Artificial Intelligence

What you'll do

Design, build, and maintain scalable data pipelines and workflows using Azure Databricks.
Develop and maintain SAS programs and SSIS packages for intermediate and downstream data processing.
Write, optimize, and maintain complex SQL queries to support data transformation and analytical use cases.
Build ETL/ELT pipelines to integrate data from multiple internal and external source systems.
Select, implement, and support Big Data tools and frameworks for data processing and integration.
Monitor, troubleshoot, and resolve complex data processing issues using root cause analysis.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Recommend infrastructure improvements to meet evolving data volume and processing demands.

What we're looking for

Bachelor’s degree in a science, engineering, or computing related discipline 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.
Strong proficiency in SQL, Databricks, Python, Apache Spark, Git, and Azure Services (Synapse, Azure ADLS Gen 2).
Strong understanding of relational database principles, data modeling, database management, and data warehousing.
Experience optimizing large-scale data pipelines and ETL workflows.
Experience working on cloud migrations and legacy modernization (preferred).
Experience with Snowflake or in the healthcare space protecting member PHI and PII (preferred).