Manager / Lead - Data Engineering & BI

Remote • Posted 59 minutes ago • Updated 58 minutes ago
Full Time
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SSRS
  • SSAS
  • Power BI
  • Data Engineering
  • BI Manager
  • data warehouse
  • dimensional modeling
  • T-SQL
  • star schema modeling
  • GitHub Copilot
  • Claude Code
  • Cursor
  • Healthcare/payer/provider data

Summary

<>Manager / Lead - Data Engineering & BI
Role Overview

Seeking a hands-on Data Engineering & BI Manager/Lead to own SQL Server data warehouse, SSIS ETL, reporting, and analytics delivery. This role leads an onshore/offshore team, works directly with customers, and ensures data quality, production stability, and on-time delivery.

Key Responsibilities
  • Lead data engineering and BI delivery, including planning, estimates, resources, and releases.
  • Manage and mentor onshore/offshore engineering teams.
  • Partner with customers to translate business requirements into technical solutions.
  • Own SQL Server data warehouse, dimensional modeling, T-SQL, and SSIS design decisions.
  • Review code, ETL packages, data models, and analytical datasets.
  • Oversee production support, data quality, reconciliation, and root-cause resolution.
  • Identify delivery risks and coordinate with application, integration, and BI teams.
Required Qualifications
  • Bachelor s degree in Computer Science, Engineering, IS, or related field.
  • 10 12 years in data engineering/ETL, with 3+ years leading teams.
  • Strong hands-on SQL Server, T-SQL, and SSIS experience.
  • Experience with data warehousing and dimensional/star schema modeling.
  • Experience managing onshore/offshore teams and customer stakeholders.
  • Strong communication, delivery, and problem-solving skills.
  • Experience in regulated enterprise environments.
AI-Assisted Development Required
  • Daily hands-on use of GitHub Copilot, Claude Code, Cursor, or similar AI tools.
  • Ability to validate AI-generated SQL, SSIS logic, and analytical code for performance, security, and data integrity.
  • Understanding of secure AI usage, including protecting PHI and sensitive data.
  • Ability to identify and promote AI-driven improvements in development and testing.
  • Healthcare/payer/provider data experience.
  • SSRS, SSAS, Power BI.
  • AWS Glue, S3, Athena or SQL Server cloud migration.
  • X12, HL7, FHIR.
  • Microsoft SQL Server certifications.

Tech Stack: SQL Server | T-SQL | SSIS | ETL | Data Warehousing | Dimensional Modeling | BI | AI-Assisted Development

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10439527
  • Position Id: 9095853
  • Posted 59 minutes ago
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