Lead Analytics Engineer

Health Care Service Corporation

Lead Analytics Engineer designing and developing data integrations for HCSC's Enterprise BI Data Marts. Collaborating on data processes and architecture with a focus on analytics engineering.

Posted 7/21/2026full-timeRemote • Illinois, Texas • 🇺🇸 United StatesSenior💰 $112,200 - $202,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Business Intelligence Architecture and data integration, with a strong focus on developing data products and analytics solutions. Proficient in leveraging modern data engineering pipelines and cloud analytics services to enhance data processes and reporting capabilities.

Highest-signal resume keywords

Business Intelligence ArchitectureData Integration PlatformsHadoop Tech StackAzure Cloud Analytics ServicesSQL and Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationBusiness IntelligenceHadoopSQLAzure SQLDatabricks GenAIPysparkSparkTeradata BTEQData Engineering

Soft Skills

Analytical SkillsCommunication SkillsPresentation SkillsTeam PlayerProactive Self-Starter

Tools & Technologies

Azure Data Lake StorageAzure Data FactoryControl MZenaHDFSHiveHQLSqoop

Industry Keywords

Data MartsSemantic Data LayerData ArchitectureEnterprise Grade SchedulingContinuous Deployment

Tech Stack

Tools & technologies

AzureCloudHadoopHDFSPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design and develop data integrations to deliver Enterprise BI Data Marts and BI Semantic Data Layer(s)
Develop modern data engineering pipelines leveraging AI assisted capabilities, such as Databricks GenAI features
Lead multiple projects, provide technical guidance, and support other team members within the DAS organization
Improve data processes, technology infrastructure, and reporting and analytical services

Requirements

What you’ll need

Bachelor’s degree and 7 years of experience or 11 years of equivalent experience with data integration platforms
Strong technical experience in Business Intelligence Architecture and technologies
Experience working with a data architecture team to develop/manage a universal semantic model
Ability to work with business stakeholders to design, develop data products solution to enable insights
3 + years of experience working with Hadoop tech stack like HDFS, Hive, HQL, Spark, Scala, Pyspark/python, Sqoop
5 + years of experience working with SQL and Analytics
2 + years of experience working with MPP platforms like Teradata BTEQ, SQL etc
2 + years of experience working with Azure Cloud Analytics Services Synapse, ADLS, ADF, Azure SQL etc
Knowledge of DevOps / continuous deployment / integration process and tools
Knowledge of working with Enterprise grade scheduling tools like control M, Zena etc
Strong analytical skills
Written, communications and presentation skills, ability to source interpret and present analytics in a thoughtful and meaningful manner
Proactive self-starter, quick-learner, flexible team-player, ability to work both independently and as part of a team
Ability to multi-task, maintain strong attention to detail, and prioritize work within tight deadlines

Benefits

Comp & perks

Health and wellness benefits
401(k) savings plan
Pension plan
Paid time off
Paid parental leave
Disability insurance
Supplemental life insurance
Employee assistance program
Paid holidays
Tuition reimbursement
Other incentives