Data Engineer- BI Developer

COMPANY PROFILE

Diversified Gas & Oil Corporation ("DGOC") is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol “DEC”. Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States.

Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.

Diversified Energy Company (DEC) is a leading natural gas operator with a long-term focus on sustainable, low‑decline production assets across the Appalachian Basin and beyond. Headquartered in Birmingham, Alabama, DEC is transforming how upstream energy companies use data to improve operational performance, increase shareholder value, and responsibly steward energy resources.

The Data Engineer / BI Developer is responsible for designing, building, and optimizing the data pipelines, transformation models, semantic views, and analytical infrastructure that power enterprise reporting and analytics s role partners closely with the Senior Manager of Business Analytics, developers, and other cross‑functional resources to deliver scalable, governed data solutions across the full platform stack. The Senior Data Engineer translates business and analytical requirements into reliable, high‑performance data models and pipelines using Snowflake, dbt, SQL, and the Microsoft Power BI and Fabric ecosystem.

This individual will serve as a hands‑on technical contributor and cross‑functional collaborator, working directly with the VP of Business Intelligence & Analytics and engaging with business stakeholders, the data engineering team, and IT partners. Success in this role requires strong coding discipline, platform depth in Snowflake, and the ability to deliver quality work in a fast‑moving, maturing data environment.

• Design, build, and maintain ELT/ETL pipelines using dbt Core and Snowflake as the primary transformation and serving layer.
• Develop well‑structured, tested, and documented semantic views following established medallion and semantic layer patterns.
• Implement change data capture and streaming ingestion patterns where required.
• Own end‑to‑end data flow from raw ingestion through consumption‑ready analytical models.

• Develop and maintain Snowflake Dynamic Tables for automated, low‑latency data transformations.
• Build Snowflake Cortex Analyst integrations to support AI‑powered data interaction and natural language query patterns.
• Design and implement Snowflake Semantic Views as part of the enterprise semantic and metric layer.
• Leverage Apache Iceberg Tables within Snowflake for open table format and cross‑platform interoperability.
• Manage warehouse sizing, multi‑cluster configuration, and auto‑suspend policies to govern credit consumption.
• Perform query profiling and optimization including clustering strategy, search optimization, and result cache utilization.
• Support credit governance through resource monitor configuration and cost attribution reporting.

• Develop Snowflake Artifacts for governed use across the organization.
• Develop certified datasets, governed report templates, and reusable components for the user experience layer.

• Contribute to data architecture design including source system modeling and consumption layer structure.
• Support data governance practices including lineage, catalog metadata, column‑level security, and row‑level security.
• Assist with SOX compliance requirements including change control documentation and audit trail for data platform assets.
• Participate in…