Senior Data Engineer - Python and Snowflake (1099 contract, Remote, must be based in US)
Remote
Solutions – Data /
Contract /
Remote
CompassX is a boutique business and technology consulting firm. We help Fortune 500 and high-growth clients deliver their most strategic initiatives, from enterprise transformations to digital and data-driven projects. With over 15 years of proven results, we’ve expanded across industries including financial services, pharmaceuticals, aerospace, consumer products, and quick service restaurants.
We are honored to be recognized as a three-time winner of Consulting Magazine’s Best Boutique Firms to Work For, and previously recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S.
We’re looking for a Senior Data Engineer (Python and Snowflake) to support one of our life sciences clients. This role will focus on designing and building scalable data pipelines, integrating data into Snowflake, and enabling downstream analytics and reporting in Power BI.
The client environment is still maturing, so your ability to shape structure, define logic, and deliver value will be key.
What you'll do
- Design, build, and maintain scalable, maintainable data pipelines for ingestion and transformation using Python
- Implement, manage, and monitor data workflows using Dagster (preferred) or similar orchestration tools like Airflow or Prefect, focusing on asset-driven, modular pipelines
- Apply software engineering best practices (testing, code review, CI/CD) to ensure pipeline reliability and data quality
- Develop and optimize data models and transformations to support analytics and BI outputs
- Collaborate with BI developers, analysts, and business stakeholders to deliver end-to-end data solutions
- Contribute to standards, frameworks, and reusable components to improve efficiency and maintainability across pipelines
- Support downstream users by preparing clean, well-structured datasets for analytics and reporting (Power BI)
What we're looking for
- 7–10 years of experience in data engineering or data pipeline development
- Advanced proficiency in Python, including data libraries such as Pandas, PySpark, or SQLAlchemy
- Experience with Dagster preferred, but candidates with orchestration experience in Airflow, or similar are also considered
- Hands-on experience with Snowflake preferred; experience with other cloud data warehouses (BigQuery, Redshift) is acceptable
- Strong SQL skills and familiarity with data modeling and transformations
- Experience with Git and CI/CD processes for deploying pipelines
- Self-driven, capable of owning solutions end-to-end and establishing standardized processes
- Comfortable working in a fast-paced, collaborative, global environment
$80 - $95 an hour
This is an independent contractor position; the rate will vary based on experience. This will be on a 1099 contractor basis.
CompassX is unable to provide visa sponsorship. However, we can engage consultants who hold valid work authorization through a third-party employer (e.g., H-1B holders contracting through their sponsoring employer). If this applies to you, please note it in your application.
Our consultants say CompassX is a place where they can truly find their own path. As part of a smaller firm, they see the impact of their work, have an identity, and know their voice matters. They value the freedom to take the reins of their careers, shape their client work, and maintain a direct line to leadership.
With CompassX’s focus on serving local Southern California clients, consultants not only build lasting relationships but also see the results of their work in the communities where they live.
At CompassX, you won’t just follow a path - you’ll create one.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
