TELECOMMUTE Manager / Lead - Data Engineering & BI

Tranzeal, Inc.

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon S3 ASC X12 Standards Code Review Information Engineering Data Integrity Extract Transform Load (ETL) Data Warehousing Cursor (Graphical User Interface Elements) Dimensional Modeling Microsoft SQL Server Power BI

+12 more

SQL Databases SQL Server Reporting Services SQL Server Integration Services SQL Server Analysis Services Transact-SQL GitHub Copilot Fast Healthcare Interoperability Resources Information Technology AWS Glue Star Schema Health Level Seven International Cloud Migration

Job description

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., * 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.

Requirements

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.