Lead Analytics Engineer

HCSC (Health Care Service Corporation)

Closes in 2 days

Quick summary

Work type
On-site
Location
Chicago, ILRichardson, TX
Salary
$112,200–$202,600 / yr
Posted
3 days ago
Closes
Jun 20, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $157k
$99k most similar roles pay here $237k

This role pays less than 78% of similar roles. Most pay $162,000–$211,200 — the shaded band above. At the midpoint, this role pays about $157k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About HCSC (Health Care Service Corporation)

HCSC (Health Care Service Corporation) is the largest customer-owned health insurer in the United States, operating Blue Cross and Blue Shield plans in Illinois, Montana, New Mexico, Oklahoma, and Texas. Industry: Health Insurance

HCSC (Health Care Service Corporation) currently has 9 open roles on FindRole.

Listed pay typically runs $102,000–$184,300 across 9 roles with salary data.

Most-posted roles

View all roles at HCSC (Health Care Service Corporation)

At a glance

TL;DR · Lead Analytics Engineer

The Lead Analytics Engineer role within the Enterprise Business Analytics & Business Intelligence team at HCSC involves designing and developing data integrations for enterprise BI Data Marts and semantic layers across platforms like RDBMS, Teradata, Hadoop, Azure Cloud, and Databricks. Day-to-day responsibilities include building modern data engineering pipelines using AI-assisted tools such as GitHub Copilot and Databricks GenAI to optimize data solutions. The role requires expertise in SQL, Spark, Scala, Python, and Azure services like Synapse and ADF, along with experience in DevOps practices and enterprise scheduling tools. Ideal candidates will have a background in healthcare data and strong analytical skills for translating business needs into robust data solutions, supporting multiple projects and mentoring team members within the DAS organization.

What you'll do

  • Design and develop end-to-end data integration pipelines using RDBMS, MPP platforms, Hadoop, and Azure Cloud.
  • Lead the development of BI Semantic Data Layers and Enterprise BI Data Marts for business analytics.
  • Utilize AI-assisted tools like Databricks GenAI to optimize data engineering processes and solutions.
  • Collaborate with stakeholders to design and develop data products that enable actionable insights from complex datasets.
  • Provide technical guidance and support to team members on various data integration and analytics projects.
  • Implement modern data engineering pipelines leveraging Azure Databricks, Spark, Scala, Pyspark, and other advanced technologies.

What we're looking for

  • 7+ years of experience in data integration platforms or equivalent education/experience.
  • Strong technical expertise in Business Intelligence Architecture and technologies.
  • Experience with Hadoop tech stack including HDFS, Hive, Spark, Scala, Pyspark/python.
  • Proficiency in SQL and analytics on MPP platforms like Teradata BTEQ, SQL.
  • 2+ years of experience working with Azure Cloud Analytics Services such as Synapse, ADLS, ADF.

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