Senior Data Engineer
Listed on 2026-07-07
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Summit Utilities
Join our Growing Team and see why Summit Utilities, Inc was named as one of the Fastest Growing Denver Area Private Companies 2019 and 2020;
Best Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri 2023. Summit was also recently named one of Forbes 2023 America's Best Small Employers.
Summit is a growing natural gas utility providing safe, reliable, and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live.
We aim to bring warmth and energy to everything we do.
We are pleased to announce an exciting opportunity for a Senior Data Engineer (SGL
19) to join our team. This hybrid role may be based in one of our offices in Little Rock, Fort Smith, or Fayetteville, Arkansas.
Summit Utilities is seeking a Senior Data Engineer to lead the design, implementation, and ongoing modernization of enterprise data pipelines and platform standards that power operational, analytical, and regulatory workloads across the company. This role takes program-level ownership of end-to-end pipeline architecture across cloud and on-prem environments, defines technical direction for storage models, partitioning, orchestration, and cross-system integration, and approves pipeline deployments to production.
The Senior Data Engineer is a formal mentor for Data Engineers IIII, partners closely with Data Architects, Analytics Engineers, and IT leadership on platform standards, evaluates and selects technologies, and supports regulatory filings (PHMSA, FERC, state PUC) with reliable, well-governed data infrastructure. Ideal candidates bring 812 years of experience with advanced Python and SQL mastery, deep expertise in Azure/AWS cloud architecture, infrastructure-as-code, CI/CD, and a proven track record of delivering scalable enterprise data solutions in a regulated environment.
DUTIES AND RESPONSIBILITIES
- Lead end-to-end pipeline architecture for enterprise-scale workloads across cloud and on-prem environments, defining storage models, partitioning strategies, and orchestration patterns.
- Define data engineering strategy and technical direction for functional areas, leading platform modernization initiatives and approving pipeline deployments to production.
- Drive Python and SQL development standards across the team, including advanced transformation logic, custom frameworks, and reusable libraries for ingestion and integration.
- Architect cloud-based data services (Azure, AWS, Microsoft Fabric) with infrastructure-as-code, monitoring, alerting, and governance frameworks.
- Define platform-level pipeline standards for error handling, logging, alerting, data validation, and data lifecycle management across all enterprise data flows.
- Lead cross-system integration efforts with SAP, GIS, SCADA, AMI, and external vendor systems via APIs, secure file exchanges, and cloud-native connectors.
- Serve as a formal mentor for Data Engineers IIII through code reviews, design sessions, and technical career coaching; may direct the work of 12 contractors or junior staff.
- Partner with Data Architects, Analytics Engineers, and IT leadership on platform standards, tooling decisions, and the long-term data engineering roadmap.
- Evaluate and select technologies for ingestion, orchestration, observability, and CI/CD; drive adoption and rollout across the data engineering team.
- Support regulatory filings (PHMSA, FERC, state PUC) and pipeline integrity data management with reliable, auditable, and well-documented data infrastructure.
- Investigate complex, system-wide performance and reliability issues; lead troubleshooting efforts and recommend long-term architectural solutions.
- Bachelor's degree in computer science, Information Systems, Engineering, or a related field preferred; equivalent combination of education and relevant experience…
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