Senior Data Integration Analyst

Diamondback Energy • Oklahoma City, OK

1d

About The Position

We are seeking a Senior Data Engineer/Integration Analyst to join our Data & Analytics team. In this role, you will be a key architect and engineer of our data platform, supporting critical business operations. You will balance maintaining robust legacy pipelines in Microsoft SQL Server and Informatica while aggressively driving our modern data strategy using Snowflake and dbt Cloud. The ideal candidate is an expert in both ETL and ELT patterns and is eager to push the boundaries of Snowflake’s ecosystem—including Streamlit apps and Cortex AI—to deliver actionable insights across the organization.

Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, Computer Engineering, or a related field; or equivalent relevant industry experience
• Five (5+) years of professional experience in Data Engineering or a related discipline
• Expert‑level proficiency in SQL and Python
• Proven hands‑on experience with the Snowflake Data Cloud, including Notebooks, Stored Procedures, and Tasks
• Experience working with Snowflake, dbt Cloud, Informatica, and Microsoft SQL Server in production environments
• Strong understanding of both traditional ETL and modern ELT design patterns and best practices
• Experience with enterprise scheduling and orchestration tools such as Automic

Nice To Haves

• Strong IT background within the Oil & Gas industry
• Experience developing Streamlit applications for business and analytics users
• Familiarity with Snowflake Cortex AI for machine learning and large language model integrations
• Exposure to Snowflake Openflow
• Experience using Apache NiFi for real‑time or near‑real‑time data ingestion

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT) to ingest data from diverse source systems into the Snowflake Data Cloud
• Lead the modernization of legacy Informatica and Microsoft SQL Server workflows by migrating them to dbt Cloud and Snowflake‑native architectures
• Develop, optimize, and maintain Snowflake objects, including Stored Procedures, Tasks, Streams, and other platform-native components
• Enable advanced analytics and self‑service capabilities by developing Streamlit applications and leveraging Snowflake Cortex AI for machine learning and LLM‑based use cases
• Manage and monitor complex job scheduling using enterprise orchestration tools such as Automic, ensuring high availability, reliability, and performance of data pipelines
• Collaborate closely with Data Scientists and Business Analysts to transform raw data into curated, analytics‑ready datasets that support operational efficiency across oil and gas assets

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees