Lead Data Engineer – Cloud Data Products, Analytic Enablement

Highmark Health

. Design, develop, and maintain robust data processes and solutions .

Posted 9/15/2026full-timeRemote • Alabama • United StatesSenior💰 $118,400 - $196,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including designing and maintaining data models, databases, and data warehouses. Proficient in SQL, Python, and Google Cloud Platform services, with a strong focus on data governance and compliance.

Highest-signal resume keywords

Data EngineeringSQL Database TechnologiesGoogle Cloud PlatformData GovernanceETL Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDatabase ManagementData WarehousingAlgorithm DesignData StructuresETL DevelopmentPython ProgrammingSQL ProficiencyData Quality ManagementData Transformation

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

Google Cloud PlatformBigQueryDataFlowCloud ComposerDataProcSnowflakeRedshiftMongoDBPostgreSQLMySQL

Industry Keywords

Data GovernanceData SecurityHIPAA ComplianceData IntegrityRegulatory Compliance

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudETLGoogle Cloud PlatformLinuxMongoDBMySQLOraclePostgresPythonSQLUnix

About the role

Key responsibilities & impact

Design, develop, and maintain robust data processes and solutions
Lead efficient movement and transformation of data across multiple systems
Develop and maintain data models, databases, and data warehouses for business intelligence and analytics
Collaborate with IT, product, analytics, business teams, and stakeholders to gather requirements and deliver data solutions
Mentor associate, intermediate, and senior data engineers as needed
Collaborate with Data Leaders to ensure consistency across systems and platforms
Monitor production schedules, provide progress updates, and report issues or technical difficulties
Implement and manage data governance practices, including data quality, integrity, and regulatory compliance
Stay current with data engineering trends and recommend tools and best practices
Perform other duties as assigned

Requirements

What you’ll need

Must be a US citizen due to contractual/access requirements
7 years of experience designing and analyzing algorithms, data structures, and design patterns for scalable, highly available systems
7 years of experience in data engineering, ETL development, or data management
7 years of experience with SQL and database technologies such as MySQL, PostgreSQL, or MongoDB
7 years of experience with data warehouse solutions and concepts such as Snowflake, Redshift, or BigQuery
Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering, or related field
Proficiency in Google Cloud Platform, including BigQuery, DataFlow, Cloud Composer/Managed Airflow, DataProc, Cloud Run, and DataPlex
Proficiency in SQL and Python
Experience with data models, databases, data warehouses, data governance, and data quality
Preferred experience with dbt, Starburst/Trino, Monte Carlo, Soda, Atlan, Collibra, Apache Iceberg, and Delta Lake
Preferred 5+ years with GCP data services, on-premise databases including Oracle, Teradata, and DB2, and Unix/Linux environments
Ability to mentor junior data engineers
Compliance with HIPAA, data security guidelines, company policies, and applicable laws
No additional language required beyond English

Benefits

Comp & perks

Remote work arrangement
Travel requirement of 0%–25%
Accessible application process and accommodation support