What are the responsibilities and job description for the Data Engineer position at Search Services?
ABOUT OUR CLIENT
Our Client is a privately held, well-capitalized energy company based in Fort Worth, Texas with a strong track record of success across upstream, midstream, and mineral operations throughout the United States. The leadership team is composed of highly experienced professionals who have worked together across multiple ventures and basins. They are committed to fostering a collaborative, high-integrity culture that values intellectual curiosity, accountability, and continuous improvement.
ABOUT THE ROLE
Our Client is seeking a skilled and motivated Data Engineer to join their growing technology team. This role plays a key part in managing and optimizing data systems, designing and maintaining ETL processes, and improving data workflows across departments. The successful candidate will have deep technical expertise, a strong background in database architecture and data integration, and the ability to collaborate cross-functionally to enhance data management and accessibility. Candidates with extensive experience may be considered for a Senior Data Engineer title.
RESPONSIBILITIES
- Design, implement, and evolve database architecture and schemas to support scalable and efficient data storage and retrieval.
- Build, manage, and maintain end-to-end data pipelines, including automation of ingestion and transformation processes.
- Monitor, troubleshoot, and optimize data pipeline performance to ensure data quality and reliability.
- Document all aspects of the data pipeline architecture, including data sources, transformations, and job scheduling.
- Optimize database performance by managing indexing, queries, stored procedures, and views.
- Develop frameworks and tools for reusable ETL processes and efficient data handling across formats such as CSV, JSON, and Parquet.
- Ensure proper version control and adherence to coding standards, security protocols, and performance best practices.
- Collaborate with cross-functional teams including engineering, operations, land, finance, and accounting to streamline data workflows.
QUALIFICATIONS
- Excellent verbal and written communication skills.
- Strong organizational, analytical, and problem-solving abilities.
- Proficient in Microsoft Office Suite and other related software.
- Experienced in programming languages such as R, Python, and SQL.
- Proficient in making and optimizing API calls for data integration.
- Strong experience with cloud platforms such as Azure Data Lake, Azure Data Studio, Azure Databricks, and/or Snowflake.
- Proficient in CI/CD principles and tools.
- High integrity, humility, and a strong sense of accountability and teamwork.
- A self-starter with a continuous improvement mindset and passion for evolving technologies.
REQUIRED EDUCATION AND EXPERIENCE
- Bachelor’s degree in computer science, software engineering, or a related field.
- 2 years of experience in data engineering, database management, or software engineering.
- Master’s degree or additional certification a plus, but not required.
- Exposure to geospatial or GIS data is a plus.
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting and working at a computer.
- Ability to lift up to 15 pounds occasionally.
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NO AGENCY OR C2C CANDIDATES WILL BE CONSIDERED
VISA SPONSORSHIP IS NOT OFFERED NOR AVAILABLE FOR H1-B NOR F1 OPT
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