✦ Luna Orbit — Data & Analytics

Data Integration Analyst

at Diamondback Energy

📍 Oklahoma City, OK Unknown Posted March 27, 2026
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Position Details

Type Not Specified
Experience entry
Exp. Years 0-2 years
Education Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or a related field; or equivalent relevant experience
Category Data & Analytics

About this role

Support the development and maintenance of data pipelines and modern data platforms in energy operations, focusing on SQL, Python, Snowflake, and dbt.

Key Responsibilities

  • Build and monitor ETL/ELT pipelines
  • Support data platform modernization
  • Collaborate with data engineers
  • Maintain data quality
  • Develop transformation models

Technical Overview

The technical environment includes SQL, Python, Snowflake, dbt, Informatica, and SQL Server, emphasizing data pipeline creation, data quality, and modernization.

Ideal Candidate

The ideal candidate is an entry-level data analyst with foundational skills in SQL and Python, eager to learn modern data platforms like Snowflake and dbt, and interested in supporting data pipelines in the energy sector.

Must-Have Skills

SQLPythonData pipelinesETLELT

Nice-to-Have Skills

SnowflakedbtData modelingData qualityInformaticaSQL Server

Tools & Platforms

SnowflakedbtInformaticaSQL Server

Required Skills

SQLPythonETLELTSnowflakedbtData pipelinesData modelingData qualityInformaticaSQL Server

Hard Skills

SQLStructured Query LanguagePythonData pipelinesETLELTSnowflakedbtData modelingData qualityInformaticaSQL Server

Soft Skills

CollaborationEagerness to learnTeamworkCommunication

Industry & Role

Industry Energy
Job Function Data pipeline development and support
Role Subtype Data Engineer
Tech Domains SQL / PostgreSQL, Python, Snowflake, Informatica, SQL Server

Keywords for Your Resume

Data AnalystSQLPythonETLELTSnowflakedbtData pipelinesData modelingData qualityInformaticaSQL ServerData engineeringData analyticsData platformOil and gas

Deal Breakers

No SQL or Python experience, Lack of data pipeline knowledge, No relevant education or experience, Unwillingness to learn new tools

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