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DIAMONDBACK ENERGY

<div>CURRENT EMPLOYEES - Please apply using &quot;Jobs Hub&quot; in Workday. This career site is for external applicants only.
We are seeking a Senior Data Engineer to join our Data &amp; 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&rsquo;s ecosystem&mdash;including Streamlit apps and Cortex AI&mdash;to deliver actionable insights across the organization. 
 
Job Responsibilities:
Include but are not limited to
 <ul><li>Pipeline Development: Design, build, and maintain scalable data pipelines (ETL/ELT) to ingest data from diverse sources into our Snowflake Data Cloud.
</li><li>Modernization: Migrate legacy Informatica and SQL Server workflows into dbt Cloud and Snowflake-native architectures.
</li><li>Snowflake Mastery: Develop and optimize Snowflake objects, including Stored Procedures, Tasks, and Streams .
</li><li>Advanced Analytics Support: Build Streamlit apps and leverage Snowflake Cortex AI to enable self-service analytics and machine learning capabilities for business stakeholders.
</li><li>Automation &amp; Orchestration: Manage complex job scheduling using Automic and ensure high system availability and performance.
</li><li>Collaboration: Partner with Data Scientists and Business Analysts to transform raw data into curated datasets that drive operational efficiency in our oil and gas assets.
</li></ul>Required Qualifications:
 <ul><li>Experience: 5+ years in Data Engineering, with a strong background in the Oil &amp; Gas industry preferred.
</li><li>Languages: Expert-level proficiency in SQL and Python .
</li><li>Snowflake: Proven experience with the Snowflake Data Cloud, specifically utilizing Notebooks, Stored Procedures, and Tasks .
</li><li>Tools: Hands-on experience with Snowflake , dbt Cloud , Informatica , and Microsoft SQL Server .
</li><li>Patterns: Deep understanding of both traditional ETL and modern ELT design patterns.
</li><li>Orchestration: Experience with enterprise schedulers like Automic .
</li></ul>Preferred Qualifications:
 <ul><li>Experience building Streamlit apps for business users.
</li><li>Familiarity with Snowflake Cortex AI for LLM and ML integration.
</li><li>Exposure to Snowflake Openflow .
</li><li>Experience with Apache NiFi for real-time data ingestion.
</li></ul>Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify .</div>

Senior Data Engineer

<div>CURRENT EMPLOYEES - Please apply using &quot;Jobs Hub&quot; in Workday. This career site is for external applicants only.
We are seeking a Data Engineer to join our Data &amp; Analytics team. This role is ideal for an early‑career engineer who is passionate about data, eager to learn modern cloud data platforms, and excited to grow within a collaborative data &amp; analytics environment. In this role, you will support the development and maintenance of our data and analytics platform. You will work closely with other team members to help operate and modernize our data platform, contributing to both legacy systems (SQL Server) and our modern data stack built on Snowflake and dbt Cloud. The ideal candidate has a solid foundation in SQL, a working knowledge of Python, and a strong desire to learn modern ELT patterns, Snowflake-native capabilities, and analytics enablement tools. 
 
Job Responsibilities:
Include but are not limited to
<ul><li>Data Pipeline Support: Assist in building, maintaining, and monitoring ETL/ELT pipelines that ingest data from various source systems into Snowflake.
</li><li>Platform Operations: Support existing Informatica and SQL Server&ndash;based workflows, ensuring data pipelines run reliably, and issues are escalated appropriately.
</li><li>Modern Data Transformation: Contribute to dbt Cloud projects by developing and maintaining models, tests, and documentation.
</li><li>Snowflake Development: Create and optimize basic Snowflake SQL objects such as tables, views, and simple tasks while learning advanced Snowflake features.
</li><li>Collaboration: Work with Senior Data Engineers, Data Scientists, and Business Analysts to understand data requirements and translate them into well-structured datasets that support oil and gas operations.
</li><li>Learning &amp; Growth: Actively participate in code reviews, team knowledge sharing, and training opportunities to build expertise in Snowflake, dbt, and modern data engineering practices.
</li></ul>Required Qualifications:
<ul><li>Experience: 0&ndash;2 years of experience in data engineering, analytics engineering, or a related technical role (internships and co‑op experience welcome).
</li><li>Languages: Working knowledge of SQL. Basic to intermediate experience with Python for data processing or automation
</li><li>Databases &amp; Data Platforms: Familiarity with relational databases (e.g., SQL Server, PostgreSQL, or similar). Exposure to cloud data platforms such as Snowflake is a plus
</li><li>Data Concepts: Understanding of core data engineering concepts such as ETL/ELT, data modeling, and data quality.
</li><li>Tools &amp; Practices: Exposure to data transformation tools (dbt preferred). Comfort working with Git or another version control system. Experience with enterprise scheduling and orchestration tools (e.g., Automic) is a plus
</li></ul>Preferred Qualifications:
 <ul><li>Coursework or hands-on experience with Snowflake
</li><li>Exposure to dbt (Core or Cloud) through projects, labs, or professional experience
</li><li>Familiarity with Python data libraries (e.g., pandas)
</li><li>Interest in data visualization, analytics enablement, or self-service BI
</li><li>Curiosity about advanced analytics, machine learning, or AI-enabled data platforms
</li></ul>Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify .</div>

Data Engineer

Join DIAMONDBACK ENERGY and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

DIAMONDBACK ENERGY

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Senior Data Engineer

Data Engineer