Forward Deployed Engineer, Senior, Data & Analytics

Humana

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Louisville, KYCharlotte, NCArlington, VATampa, FLDallas, TXFort Lauderdale, FLChicago, ILAtlanta, GANew York, NYNashville, TNBoston, MA
Salary: $117,600–$161,700 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $140k

$105k $238k

below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $144,375–$216,262 — the blue band above. At the midpoint, this role pays about $140k versus about $180k 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 58 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 20 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Forward Deployed Engineer, Senior, Data & Analytics

Role Posting Log in to save

The Forward Deployed Engineer, Senior - Data & Analytics joins the data engineering team to design, build, and maintain scalable data processing architectures. This role involves translating complex business problems into working solutions by working directly alongside stakeholders to deliver analytics and clinical insights. Responsibilities include developing ETL/ELT workflows, building real-time and batch pipelines, and managing data models within a Lakehouse architecture. The position requires proficiency in Databricks, Spark, PostgreSQL, Python, PySpark, and SQL. Candidates must handle structured and unstructured healthcare data, including claims and provider information, while ensuring compliance with HIPAA and HITECH regulations. The engineer will also leverage Databricks Genie for natural language querying and manage data security, encryption, and masking to provide trusted, high-quality data solutions in a regulated environment.

What does a Forward Deployed Engineer earn?

Median $206750 from 42 postings across 20 companies.

See salary data

Skills

Databricks Python SQL Apache Spark PySpark PostgreSQL Delta Lake MLflow CI/CD Lakehouse ETL ELT Kafka Airflow Azure Data Factory GitHub Actions FHIR HL7 HIPAA

What you'll do

Develop scalable and cost-efficient Data and ML solutions using Databricks and cloud-native services.
Build and optimize ETL/ELT workflows for ingesting structured and unstructured healthcare data.
Develop and maintain data models and Lakehouse architectures using Delta Lake and cloud storage.
Build real-time and batch pipelines for analytics and operational use cases using PySpark and SQL.
Design and optimize semantic layers and governed datasets to power AI-assisted analytics workflows.
Translate ambiguous business problems into concrete technical specifications and delivery plans through discovery workshops.
Rapidly prototype, configure, and demo solutions to stakeholders to validate direction and de-risk investments.
Ensure all data processing complies with HIPAA, HITECH, and enterprise data governance policies.

What we're looking for

Bachelor's in Computer Science, Engineering, or a related field.
5+ years of experience building cloud-native Data & ML engineering solutions.
5+ years of programming experience in Python (PySpark) and SQL.
3+ years of experience deploying data and feature pipelines, model training, and inferencing within the Databricks stack.
3+ years of hands-on experience with Databricks, PostgreSQL, and Apache Spark.
Demonstrated ability to communicate technical concepts to non-technical stakeholders and translate ambiguous requirements into working solutions.
Experience in the healthcare or insurance industry (payer experience strongly preferred).
Familiarity with healthcare standards such as FHIR or HL7 (preferred).

Save