Team Lead – Data Engineering

Capgemini; Cincinnati (OH); On-site; USD 91,000 - 143,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a senior data engineering lead to coordinate onshore and offshore teams across vendor groups. The role focuses on migration from Netezza to Databricks, Databricks workflows, and data lakehouse architectures.

The candidate will guide legacy conversion, ensure code quality, and mentor junior engineers while collaborating with architects and stakeholders across cloud platforms.

Qualifications

• 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 experience with Databricks, Spark, SQL, and Python/PySpark.
• Experience with IBM Netezza or similar legacy data warehouse platforms.
• Experience supporting data platform migration or modernization initiatives.

Responsibilities

• Lead onshore and offshore data engineering teams across vendor groups.
• Drive technical delivery for migration from Netezza to Databricks.
• Translate business and architecture requirements into designs and tasks.
• Develop and optimize ETL/ELT pipelines and Databricks workflows.
• Guide conversion of legacy Netezza logic into Databricks solutions.
• Ensure code quality, performance tuning, testing, and best practices.
• Coordinate with architects, project managers, stakeholders, and vendors.
• Provide mentoring to junior and mid-level engineers.
• Participate in code reviews, deployment, and production support.
• Support data validation, cutover planning, and post-migration stabilization.

Skills

Databricks

Apache Spark

SQL

Python/PySpark

Data pipelines

Data lakehouse

Large-scale data processing

Onshore/offshore leadership

Communication

Problem solving

Tools

IBM Netezza

GCP

Azure

Job description

Lead onshore and offshore data engineering teams across mixed vendor groups, including our client's company and other partners.

Drive technical delivery for migration from Netezza to Databricks.

Translate business and architecture requirements 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 Qualifications:

• 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.
• Experience with IBM Netezza or similar legacy data warehouse platforms.
• Experience supporting data platform migration or modernization initiatives.
• Familiarity with GCP and Azure cloud platforms.
• Strong understanding of data pipelines, data lakehouse concepts, and large‑scale data processing.
• Experience working with global delivery teams and multiple vendor partners.
• Strong communication, problem‑solving, and technical troubleshooting skills.

The pay range that the employer in good faith reasonably expects to pay for this position is $43.92/hour - $68.62/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non‑public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.