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)
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
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.
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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.
Skills
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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