Job Details

Job Description: Data Engineer (3-8 Years Experience)

Location: Houston, TX (Local candidates only)
Employment Type: Full-time
About the Role

We are seeking a Data Engineer with 3-8 years of experience to design, build, and optimize data pipelines, ETL workflows, and large-scale data solutions. This role requires strong SQL expertise, hands-on ETL experience, and the ability to work effectively in a consulting environment. Experience within the Energy & Utilities sector is a significant plus.Key Responsibilities

• Build and maintain scalable ETL pipelines and data integration processes.
• Develop robust datasets using advanced SQL and query performance optimization.
• Collaborate with business teams and solution architects to gather and translate data requirements.
• Perform data validation, quality assurance, and ingestion activities.
• Improve data pipeline performance, scalability, and reliability.
• Support data migration efforts and system integrations (cloud and on-prem).
• Troubleshoot production data issues and maintain data pipeline health.
• Document data flows, solution design, and technical specifications.
• Contribute to best practices, engineering standards, and process improvements.

• 3-8 years of professional Data Engineering experience.
• Strong expertise in SQL (complex queries, performance tuning, modeling).
• Hands-on experience with ETL tools such as Informatica, Talend, DataStage, ADF, SSIS, AWS Glue, or similar.
• Experience building and maintaining data pipelines in cloud or on-prem environments.
• Strong understanding of relational databases, data warehousing, and integration patterns.
• Prior experience working in a consulting or client-facing role.
• Excellent communication and problem-solving skills.
• Must be local to Houston, with ability to work onsite as needed.
• No visa sponsorship available. Candidates must be authorized to work in the U.S. without sponsorship.

• Experience in the Energy & Utilities, Oil & Gas, or Power sectors.
• Experience with cloud-native data tools (Azure Data Factory, AWS Glue, Databricks, Snowflake).
• Knowledge of scripting languages such as Python for automation.
• Familiarity with CI/CD workflows for data engineering.

• Work on high-impact, modern data engineering projects in the Energy & Utilities domain.
• Collaborative team environment with strong career development paths.
• Exposure to cutting-edge cloud data platforms and consulting engagements.