Remote Data Engineer / Data Ops Specialist

We are seeking a Data Engineer / Data Ops Specialist to join our growing data team. This role will focus on building scalable data models using DBT, automating data pipelines based on Pydantic data contracts, and integrating CI / CD workflows using GitHub Actions. The ideal candidate will have a strong background in Python, data modeling, and DevOps practices, and will also provide support to data engineering u across the organization.

Responsibilities :

Data Modeling & Transformation

• Design and implement robust DBT models based on Pydantic data contracts.
• Ensure data quality, consistency, and documentation across models and pipelines.

Automation & CI / CD

Data Engineering Support

Process Optimization

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 :

Required Skills & Experience

3+ years of experience in data engineering or data operations.

Proficiency in Python, especially with Pydantic for data validation.

Hands-on experience with DBT for data modeling.

Familiarity with GitHub Actions or similar CI / CD tools.

Strong understanding of data contracts and schema evolution.

Experience working in cloud environments (e.g., AWS, GCP, Azure).

Knowledge of SQL and modern data warehouses (e.g., Snowflake, BigQuery).

Background in supporting data engineering teams or managing internal tooling.

Familiarity with orchestration tools like Airflow or Prefect.

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.