Senior Data Engineer

Insight Global; Oklahoma; Hybrid; USD 96,000 - 106,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA

FSA

DCFSA

401k retirement plan

Paid time off

Job summary

Insight Global is seeking a Senior Data Engineer for a top utility client. This role focuses on high-visibility analytics around operational performance, reliability, and regulatory reporting.

You will work autonomously with stakeholders, delivering data-driven insights and robust data engineering solutions. The position requires strong SQL, data engineering, and statistical analysis experience, with an interest in AI and analytics technologies.

Qualifications

• Strong programming skills or AI-assisted programming experience.
• Experience using AI tools/prompts for data analysis.
• Experience with data pipelines and ETL/ELT processes.
• Statistical analysis experience.
• Ability to work independently with minimal training.
• Strong communication and stakeholder management skills.

Responsibilities

• Support data initiatives for an upcoming rate case.
• Analyze vegetation management and reliability program performance.
• Perform statistical analysis and identify trends.
• Develop and maintain reporting solutions and dashboards.
• Write SQL queries and troubleshoot data issues.
• Build and support data pipelines.
• Partner with business teams to turn requirements into data solutions.
• Document processes, reporting requirements, and business rules.
• Explore AI and advanced analytics opportunities.

Skills

Programming skills

AI-assisted programming

AI tools for data analysis

Data pipelines

ETL/ELT

Statistical analysis

Independence with minimal training

Communication & stakeholder mgmt

Tools

Power BI

Microsoft Fabric

Snowflake

SAP data/reporting

Job description

Location: Hybrid | 4 days onsite, 1 day remote initially

Interview: 2 interviews (virtual or onsite) + data sample assessment

Must-Haves

• Strong programming skills or AI-assisted programming experience
• Experience using AI tools/prompts for data analysis
• Experience with data pipelines and ETL/ELT processes
• Statistical analysis experience
• Ability to work independently with minimal training
• Strong communication and stakeholder management skills

Plusses

• Power BI experience
• Microsoft Fabric experience
• Snowflake experience
• SAP data/reporting experience
• Utility industry experience
• Experience with AI, machine learning, or predictive analytics
• Experience documenting business rules and data lineage

Day-to-Day

• Support data initiatives for an upcoming rate case
• Analyze vegetation management and reliability program performance
• Perform statistical analysis and identify trends
• Develop and maintain reporting solutions and dashboards
• Write SQL queries and troubleshoot data issues
• Build and support data pipelines
• Partner with business teams to turn requirements into data solutions
• Document processes, reporting requirements, and business rules
• Explore AI and advanced analytics opportunities

Job Description

Insight Global is seeking a Senior Data Engineer for a top utility client. This person will support high-visibility analytics initiatives focused on operational performance, reliability, and regulatory reporting. The ideal candidate will have strong data engineering, SQL, reporting, and statistical analysis experience, along with an interest in emerging AI and analytics technologies. This is a highly autonomous role for someone who can work directly with stakeholders, solve complex business problems, and deliver meaningful data-driven insights.

Compensation

$70/hr to $77/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.