Team Lead – Data Engineering

Job summary

Cincinnati, OH, United States (On-site) Contract (5 months 8 days) Published 4 hours ago sql development data warehousing Microsoft Azure data engineering Data platform sql database ETL/ELT PySpark/Python Key Responsibilities: - Lead onshore and offshore data engineering teams across mixed vendor groups, including company and other partners.

Benefits

Qualifications

• into technical designs and engineering tasks.
• Develop and optimize ETL/ELT pipelines, data transformations, and Databricks workflows.
• Guide conversion of legacy Netezza SQL, scripts, and data processing logic into Databricks solutions.
• Ensure code quality, performance tuning, testing, and adherence to engineering best practices.
• Coordinate with architects, project managers, business stakeholders, and vendor teams.
• Provide mentoring and technical direction to junior and mid-level data engineers.
• Participate in code reviews, issue resolution, deployment, and production support.
• Support data validation, reconciliation, cutover planning, and post-migration stabilization.
• Required
• 8+ years of experience in data engineering, data warehousing, ETL/ELT, or analytics engineering.
• 2+ years of experience leading onshore/offshore engineering teams.
• Strong hands-on expertise with Databricks, Apache Spark, SQL, and Python/PySpark.

Responsibilities

• Lead onshore and offshore data engineering teams across mixed vendor groups, including company and other partners.
• Drive technical delivery for migration from Netezza to Databricks.
• Translate business and architecture
• In addition, job
• require access to secure and protected client information technology systems and related data security obligations.

Skills

Industry

Company size

Contract length

Security clearance