Data Engineering Supervisor

Coordinate delivery with offshore engineering partners.

Ensure consistent quality, communication, and delivery standards.

Ensure consistent use of JIRA for work intake, tracking, and reporting.

Monitor progress, remove blockers, and improve delivery predictability.

Translate business priorities into actionable engineering work.

Bachelor’s degree in Computer Science, Data Management, Information Systems, or related field.

Proven experience in a leadership or supervisory role preferred.

Strong experience with data engineering and enterprise data management environments.

coordinating work across analysts, developers, and technical teams.

Strong communication and stakeholder management skills.

Advanced SQL development and query optimization capability.

designing and implementing ETL/ELT data pipelines across complex data environments.

Strong familiarity with data modeling concepts including dimensional modeling (star schema) and data warehousing design.

Hands-on experience with cloud data platforms (Azure Data Factory, Azure Synapse/Fabric, Azure Data Lake, Azure SQL).

Ability to design and manage end-to-end data pipelines across layered architectures (Bronze, Silver, Gold).

with data orchestration and workflow management tools (ADF pipelines, Databricks).

Proficiency in Python and/or scripting languages used for data processing and automation.

with integrating data from multiple source systems (e.g., transactional systems, APIs, legacy databases such as DB2).

Strong understanding of data quality, validation, and reconciliation processes for ensuring data accuracy and reliability.

with monitoring, alerting, and troubleshooting production data pipelines.

implementing security controls such as Row-Level Security (RLS) and data access management.

Understanding of performance tuning techniques for queries, pipelines, and cloud data workloads.

with version control (Git) and CI/CD practices for deploying data pipelines and data platform changes.

with BI and reporting platforms (Power BI preferred) and understanding of downstream data consumption.

Demonstrated ability to manage and mentor cross-functional team members.

Excellent verbal, written, and presentation skills.

Ability to synthesize technical concepts into business-aligned actions.

Skilled in issue triage, root cause analysis, and prioritization under pressure.

Microsoft Azure Data Engineer Associate (DP-203 or Fabric equivalents)

Experience working in regulated industries (e.g., insurance, finance, or healthcare).

Familiarity with agile or hybrid project methodologies.

Valid Texas driver’s license and driving record at the time of hire which would not place the employee on probation or disqualify the employee from Certified Fleet Operator status under the Company Driving and Safety Policy.

Use of PC and office equipment for extended periods.

Occasionally bending, lifting, and moving items up to 30 lbs.

Extended periods of sitting and concentration.

Provide after-hours problem resolution as needed.

Occasionally long, irregular hours.

Work conducted in office environments owned or leased by the company.

Travel as required.

Texas Farm Bureau is an Equal Opportunity Employer (M/F/D/V).