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Seeking a Data Solutions Engineer for its energy software technology client located in Houston, Texas.


·       Base Salary of $100k – $125k DOE plus 20% bonus opportunity and benefits
·       HYBRID ROLE – 2 days in office / 3 days work from home per week
·       Minimum 3+ years in Data Engineering
·       Experience with Python, C#, and/or JS required
·       Experience with SQL, BI Tooling, Data QC and Documentation required


Role Responsibilities:

  • Perform Data Engineer functions and develop data process models, including sourcing, loading, transformation, and extraction.
  • Map data between source systems, data warehouse and data lakes.
  • Consult with users, management, and technicians to assess requirements to implement data models and structure data in ready-for-business consumption formats.
  • Understand and work with many data types including relational and SCADA.
  • Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and data quality checks.
  • Use company software for optimal extraction, transformation, and loading of data from a wide variety of data sources including SQL.
  • Assist and create visualizations of data in Power BI.
  • Work with other data engineers, data ingestion specialists, and subject matter experts across the company to standardize methodologies.



  • Bachelors Degree in Computer Science, Engineering, Statistics, Information Systems, or a related field preferred
  • 3+ years of hands-on experience in data engineering.
  • Experience with:
    • Assembling large data sets that meet functional and non-functional business requirements.
    • Automating manual processes.
    • Optimizing data delivery; data quality checks.
    • Writing data models, technical standards and guidelines, investigations and recommendations, presentations and briefings, and meta-data catalogs for business and technical use.
  • Programming Experience (eg. Python, C#, JS)
  • SQL
  • Power BI / BI Tooling
  • Data QC