{"schemaVersion":"jobsearcher.job.v1","id":"520c2ef44d4bdbf83bfc6451","url":"https://jobsearcher.com/jobs/520c2ef44d4bdbf83bfc6451","canonicalUrl":"https://jobsearcher.com/jobs/520c2ef44d4bdbf83bfc6451","title":"Manager – Data Engineering","description":"Manager – Data EngineeringLocation: United States RemoteExperience: 10-12 yrsTech Stack: AWS (S3, Redshift, Glue, Athena, Lambda, Step Functions, DMS), SQL Server (T-SQL), SSIS, Python, Data Warehousing/ETL, AI-Assisted DevelopmentRole OverviewWe are looking for a Lead Data Engineer to own the technical direction and delivery of data engineering initiatives across our health plan technology platform, spanning AWS-native data services and existing SQL Server/SSIS ETL processes. Working alongside software engineering, Data/BI & Integration, DevOps, and Edifecs EDI teams, you will set engineering standards, lead the migration and modernization of legacy workloads onto AWS-native pipelines, and mentor a team of data engineers. This role combines deep hands-on technical ownership with emerging team leadership, acting as the primary technical escalation point for data pipeline design, performance, and reliability.Key Responsibilities●       Lead the design, build, and delivery of ETL/ELT pipelines using AWS Glue, Lambda, and Step Functions to ingest, transform, and load data across AWS-based data platforms (S3, Redshift, Athena)●       Own the technical roadmap for migrating and modernizing legacy SQL Server/SSIS ETL workloads to AWS-native data pipelines●       Maintain, enhance, and troubleshoot existing SQL Server-based ETL processes built in SSIS, including packages, control flows, data flows, and error handling●       Define coding standards, design patterns, and best practices for data engineering across the team●       Write and optimize complex T-SQL queries, stored procedures, and views supporting reporting and downstream applications●       Architect and govern data models (dimensional/star schema) supporting analytics and reporting use cases●       Lead use of AWS Database Migration Service (DMS) and related tooling to drive data migration from on-premises SQL Server to AWS●       Define and enforce data quality, validation, monitoring, and lineage standards across ETL pipelines●       Drive pipeline performance optimization, reliability improvements, and cost efficiency across both AWS-native and SQL Server/SSIS workloads●       Serve as the primary technical partner for BI, integration, and application teams (including Power BI and Edifecs/EDI teams) to ensure data availability and consistency●       Lead technical design reviews and contribute to architecture decisions at the program level●       Own production incident response and root-cause analysis for data pipeline issues; implement long-term reliability improvements●       Mentor and develop data engineers; guide technical growth and conduct meaningful code reviews●       Maintain thorough documentation of data flows, pipeline architecture, and data models to support team knowledge sharingRequired Qualifications●       Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field●       10 - 12 years of experience in data engineering or ETL development, with demonstrated progression toward technical leadership●       Expert, hands-on experience with AWS data services: S3, Redshift, Glue, Athena, Lambda, and Step Functions●       Expert, hands-on experience with SQL Server, including T-SQL development, query optimization, and performance tuning●       Expert, hands-on experience building and maintaining ETL packages in SSIS (control flow, data flow, error handling, and deployment)●       Strong proficiency in Python for scripting, automation, and Glue/PySpark-based ETL development●       Deep expertise in dimensional data modeling (star schema) for analytics and reporting use cases●       Proven experience leading data migration programs using AWS DMS or equivalent tooling for on-premises to AWS transitions●       Strong command of data quality, governance, and lineage practices -- able to define and enforce standards across a team●       Strong debugging, performance-tuning, and production-support skills across complex ETL pipelines●       Experience leading technical projects or guiding a team of data engineers●       Excellent written and verbal communication skills for cross-functional and stakeholder engagementAI Knowledge & AI Assisted Development (Required)●       Daily, practical use of AI coding/assistant tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate development of Glue/PySpark scripts, SSIS package logic, and T-SQL queries●       Able to critically review and validate AI-generated code, queries, and transformations for correctness, performance, and data integrity before deployment●       Defines and enforces team-level standards for responsible AI-assisted development, including validation rigor, security review of AI-generated code, and prompt hygiene●       Practical use of AI tools to assist with data profiling, anomaly detection, and technical documentation●       Deep understanding of secure and compliant AI tool usage, including never entering PHI, member data, or other sensitive information into prompts or external AI tools●       Identifies and leads adoption of AI-driven automation to improve pipeline development, testing, and migration efficiency across the teamPreferred Qualifications ●       Experience in the US health insurance or payer domain: claims, eligibility, enrollment, provider, or member data, with HIPAA-aware data handling practices●       Exposure to healthcare data standards (X12 EDI, HL7, FHIR)●       Experience with Power BI or other BI/reporting tools consuming the data pipelines you build●       Experience with additional AWS data services: EMR, Kinesis, or Redshift Spectrum●       Experience with modern orchestration tools (e.g., Apache Airflow) as an alternative or complement to SSIS●       Relevant certifications: AWS Certified Data Engineer/Analytics Specialty, Microsoft SQL Server certifications","company":"Simplify Recruiting","rawCompany":"simplify recruiting","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-19T08:52:28.838Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager – Data Engineering","description":"Manager – Data EngineeringLocation: United States RemoteExperience: 10-12 yrsTech Stack: AWS (S3, Redshift, Glue, Athena, Lambda, Step Functions, DMS), SQL Server (T-SQL), SSIS, Python, Data Warehousing/ETL, AI-Assisted DevelopmentRole OverviewWe are looking for a Lead Data Engineer to own the technical direction and delivery of data engineering initiatives across our health plan technology platform, spanning AWS-native data services and existing SQL Server/SSIS ETL processes. Working alongside software engineering, Data/BI & Integration, DevOps, and Edifecs EDI teams, you will set engineering standards, lead the migration and modernization of legacy workloads onto AWS-native pipelines, and mentor a team of data engineers. This role combines deep hands-on technical ownership with emerging team leadership, acting as the primary technical escalation point for data pipeline design, performance, and reliability.Key Responsibilities●       Lead the design, build, and delivery of ETL/ELT pipelines using AWS Glue, Lambda, and Step Functions to ingest, transform, and load data across AWS-based data platforms (S3, Redshift, Athena)●       Own the technical roadmap for migrating and modernizing legacy SQL Server/SSIS ETL workloads to AWS-native data pipelines●       Maintain, enhance, and troubleshoot existing SQL Server-based ETL processes built in SSIS, including packages, control flows, data flows, and error handling●       Define coding standards, design patterns, and best practices for data engineering across the team●       Write and optimize complex T-SQL queries, stored procedures, and views supporting reporting and downstream applications●       Architect and govern data models (dimensional/star schema) supporting analytics and reporting use cases●       Lead use of AWS Database Migration Service (DMS) and related tooling to drive data migration from on-premises SQL Server to AWS●       Define and enforce data quality, validation, monitoring, and lineage standards across ETL pipelines●       Drive pipeline performance optimization, reliability improvements, and cost efficiency across both AWS-native and SQL Server/SSIS workloads●       Serve as the primary technical partner for BI, integration, and application teams (including Power BI and Edifecs/EDI teams) to ensure data availability and consistency●       Lead technical design reviews and contribute to architecture decisions at the program level●       Own production incident response and root-cause analysis for data pipeline issues; implement long-term reliability improvements●       Mentor and develop data engineers; guide technical growth and conduct meaningful code reviews●       Maintain thorough documentation of data flows, pipeline architecture, and data models to support team knowledge sharingRequired Qualifications●       Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field●       10 - 12 years of experience in data engineering or ETL development, with demonstrated progression toward technical leadership●       Expert, hands-on experience with AWS data services: S3, Redshift, Glue, Athena, Lambda, and Step Functions●       Expert, hands-on experience with SQL Server, including T-SQL development, query optimization, and performance tuning●       Expert, hands-on experience building and maintaining ETL packages in SSIS (control flow, data flow, error handling, and deployment)●       Strong proficiency in Python for scripting, automation, and Glue/PySpark-based ETL development●       Deep expertise in dimensional data modeling (star schema) for analytics and reporting use cases●       Proven experience leading data migration programs using AWS DMS or equivalent tooling for on-premises to AWS transitions●       Strong command of data quality, governance, and lineage practices -- able to define and enforce standards across a team●       Strong debugging, performance-tuning, and production-support skills across complex ETL pipelines●       Experience leading technical projects or guiding a team of data engineers●       Excellent written and verbal communication skills for cross-functional and stakeholder engagementAI Knowledge & AI Assisted Development (Required)●       Daily, practical use of AI coding/assistant tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate development of Glue/PySpark scripts, SSIS package logic, and T-SQL queries●       Able to critically review and validate AI-generated code, queries, and transformations for correctness, performance, and data integrity before deployment●       Defines and enforces team-level standards for responsible AI-assisted development, including validation rigor, security review of AI-generated code, and prompt hygiene●       Practical use of AI tools to assist with data profiling, anomaly detection, and technical documentation●       Deep understanding of secure and compliant AI tool usage, including never entering PHI, member data, or other sensitive information into prompts or external AI tools●       Identifies and leads adoption of AI-driven automation to improve pipeline development, testing, and migration efficiency across the teamPreferred Qualifications ●       Experience in the US health insurance or payer domain: claims, eligibility, enrollment, provider, or member data, with HIPAA-aware data handling practices●       Exposure to healthcare data standards (X12 EDI, HL7, FHIR)●       Experience with Power BI or other BI/reporting tools consuming the data pipelines you build●       Experience with additional AWS data services: EMR, Kinesis, or Redshift Spectrum●       Experience with modern orchestration tools (e.g., Apache Airflow) as an alternative or complement to SSIS●       Relevant certifications: AWS Certified Data Engineer/Analytics Specialty, Microsoft SQL Server certifications","datePosted":"2026-09-19T08:52:28.838Z","dateModified":"2026-09-19T08:52:28.838Z","hiringOrganization":{"@type":"Organization","name":"Simplify Recruiting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"520c2ef44d4bdbf83bfc6451"},"url":"https://jobsearcher.com/jobs/520c2ef44d4bdbf83bfc6451"}}