• Design, build, and maintain scalable data pipelines supporting enterprise analytics use cases.
• Develop and optimize SQL- and Python-based data solutions with a strong focus on performance and reliability.
• Lead technical discussions, architecture decisions, and provide guidance to other engineers.
• Ensure high data quality, integrity, and consistency across platforms.
• Partner closely with business stakeholders to translate data requirements into technical solutions.
• Support data platform architecture and contribute to long-term data strategy.
• Participate in code reviews, technical workshops, and cross-functional collaboration.

• 10+ years of overall professional experience, with strong tenure and stability.
• Heavy, hands-on experience with Python (must be advanced; Python skills will be formally assessed).
• Deep SQL expertise (T-SQL or PL/SQL acceptable).
• Proven experience designing and maintaining data pipelines and data architectures.
• Prior experience in a technical lead role (running meetings, providing technical direction).
• Willingness and ability to work fully onsite, 5 days a week.

• Exposure to AWS and/or Snowflake.
• Experience with data modeling, performance tuning, and enterprise-scale data systems.
• Industry experience in midstream, energy, supply chain, or industrial environments.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.