Saltu Staffing
Data Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
21 September 2026
What they need
A leading natural gas company is seeking a Sr. Data Engineer to lead the next phase of its enterprise data platform modernization. Along with being deeply hands-on in data architecture and engineering, you will also bring strong technical leadership to define standards, shape platform direction, and mentor engineering teams. A core part of this role is modernizing a hybrid cloud and on-prem data ecosystem.
Responsibilities
- Data Platform Architecture: Own the design and evolution of scalable data pipelines and architecture across Azure and on-prem systems, ensuring performance, reliability, and long-term scalability.
- Standardize Data Engineering: Define best practices for Python/SQL development, CI/CD, infrastructure-as-code, and production deployment standards across the data engineering team.
- Enterprise Integrations: Lead integration of critical systems including SAP, GIS, SCADA, AMI, APIs, and secure data exchange pipelines supporting operational and regulatory workloads.
- Ensure Data Reliability, Governance & Compliance: Implement data quality, observability, and governance frameworks while supporting regulatory reporting requirements (PHMSA, FERC, state PUC).
Requirements
- 8–12+ years of experience in data engineering or enterprise data platform roles
- Strong expertise in Python, SQL, and cloud data platforms (Azure preferred)
- Proven experience designing end-to-end data pipelines and architectures at scale
- Hands-on experience with CI/CD, infrastructure-as-code (Terraform/Bicep), and production systems
- Experience integrating complex enterprise systems (SAP, GIS, SCADA, AMI, APIs)
- Strong background in data governance, reliability, and regulated environments
- Ability to lead technical initiatives and mentor engineers in a collaborative environment
If you're looking to take the next step in your career and help modernize the data systems that power critical energy infrastructure, don't hesitate to reach out
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