Sr. Data Engineer

Location: Oklahoma City, OK

Pay: $50 - $70 / Hour

Schedule: Hybrid — 4 days onsite and 1 day remote initially

About The Company

A well-established organization in the energy and utilities industry is seeking a Senior Data Engineer to join its analytics team. This is an opportunity to work on meaningful, high-impact data initiatives that influence operational performance, reliability, risk management, and business decision-making.

Responsibilities

• Build and maintain scalable data pipelines, analytical datasets, and reporting solutions.
• Write and optimize SQL queries while investigating data quality and transformation issues.
• Develop Power BI dashboards, reports, semantic models, and other business intelligence solutions.
• Work with data from multiple enterprise systems and sources to create comprehensive analytical views.
• Perform statistical analysis to measure operational performance and determine the effectiveness of business initiatives.
• Analyze reliability, outage, asset, vegetation, customer, and operational data to identify trends and potential risks.
• Develop meaningful performance indicators and analytical models that supplement traditional reliability measurements.
• Create dashboards, scorecards, rankings, and visualizations that help business leaders prioritize actions.
• Validate data, reconcile discrepancies between systems, and document assumptions and business logic.
• Translate business needs into repeatable data models, analytical processes, and user-friendly solutions.
• Support production data environments through troubleshooting, quality checks, version control, and ongoing improvements.
• Collaborate with technical teams and business stakeholders to gather requirements and deliver effective solutions.
• Leverage AI-assisted development and emerging technologies to improve data engineering and analytical capabilities.

Qualifications

• Senior-level experience in data engineering, data analytics, business intelligence, or a related field.
• Strong SQL development and data troubleshooting experience.
• Experience with ETL/ELT processes and data pipeline development.
• Experience with Power BI and/or Microsoft Fabric.
• Knowledge of data modeling and modern enterprise data environments.
• Ability to use AI tools or prompting techniques to assist with programming and data-related tasks.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to independently research, investigate, and resolve complex data challenges.
• Excellent communication skills with both technical and non-technical audiences.
• Strong attention to detail and commitment to data accuracy.
• Self-motivated with the ability to work effectively with limited supervision.

Preferred Qualifications

• Experience with Minitab Statistical Software or a similar statistical analysis platform.
• Experience with Snowflake and enterprise data warehousing.
• Experience with Microsoft Fabric, Lakehouse environments, or cloud-based data solutions.
• Experience working with SAP or other large enterprise systems.
• Experience with GIS or geospatial data.
• Utility, energy, infrastructure, engineering, or other asset-intensive industry experience.
• Knowledge of electric reliability concepts and operational performance metrics.
• Experience developing predictive, leading, or customer-focused reliability indicators.
• Familiarity with AI platforms, machine learning, predictive analytics, or intelligent automation.

Benefits

• Medical, dental, and vision coverage
• 401(k) retirement plan

Additional Details

• This position is structured as contract-to-hire, with the potential for permanent employment based on business needs and performance.
• The initial schedule is expected to be 4 days onsite and 1 day remote. Additional remote flexibility may become available after approximately six months but is not guaranteed.
• The anticipated start date is October 2026, with potential flexibility for an earlier start.
• The interview process includes two interviews and a practical data exercise.
• Candidates should be prepared to demonstrate their technical, analytical, and problem-solving abilities.
• This is a senior-level position, and the selected candidate is expected to be productive with minimal training.

Perks

• Work on high-impact data initiatives with measurable business and operational outcomes.
• Opportunity to work across data engineering, analytics, statistics, and emerging AI technologies.
• Exposure to modern data platforms and enterprise analytics environments.
• Potential pathway from contract to permanent employment.
• Hybrid work flexibility.
• Opportunity to directly influence reliability, operational performance, and strategic decision-making.