Junior Data Engineer

We are looking for a Junior Data Engineer to join our Environmental and Economic Planning team. This is a full-time, onsite role based in downtown Houston, ideal for a recent graduate who is passionate about data engineering and eager to apply their Python skills to real-world challenges in the energy sector.

Key Responsibilities

Design, build, and maintain data pipelines to support environmental and economic planning initiatives.
Work with large datasets from internal and external sources, ensuring data quality, consistency, and accessibility.
Collaborate with analysts, planners, and developers to deliver clean, structured data for dashboards, models, and applications.
Write efficient Python code to automate data ingestion, transformation, and validation processes.
Apply knowledge of data structures and algorithms to optimize performance and scalability.
Participate in code reviews, documentation, and team discussions to continuously improve workflows.


This is a unique opportunity to launch your career in a high-impact team that supports strategic planning and sustainability efforts. You’ll gain exposure to real-world data challenges, collaborate with experienced professionals, and contribute to meaningful projects from day one.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Bachelor’s degree in Computer Science or a closely related field.
Strong proficiency in Python, with experience in building scripts and tools.
Solid understanding of data structures, algorithms, and software engineering principles.
Excellent analytical and problem-solving skills.
Strong communication and collaboration abilities.
Must be able to work onsite every day in downtown Houston.

Experience with data engineering tools or platforms (e.g., Pandas, SQL, Airflow, Spark).
Familiarity with cloud environments (e.g., Azure, AWS, GCP).
Demonstrated passion for data through personal projects, GitHub contributions, or academic work.
Interest in environmental sustainability and economic modeling in the O&G sector.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.