Sr. Associate, Data Platform Engineer
About The Position
As a Senior Associate, Data Platform Engineer, you will partner with architects, data engineers, and data analysts to improve products and services. You will design, develop, test, deploy, and maintain reliable data pipelines and data integration solutions, with a strong focus on Python and Apache Airflow/Astronomer. The role is hybrid, two days per week, for employees located in the NYC Metro Area, or fully remote in 23 select states. Applicants must be permanently authorized to work for any employer in the U.S.; the employer cannot sponsor or take over sponsorship of temporary employment visas now or in the future. Community Federal Savings Bank (CFSB) is a federally chartered bank founded in 2001 and headquartered in New York City. It offers services including loans, bill payments, card services, internet banking, and merchant processing. CFSB is an equal opportunity employer and does not discriminate on the basis of legally protected characteristics.
Requirements
- Bachelor's degree in computer science, information technology, or a related field, or equivalent experience.
- At least 7 years of experience in data engineering or operations roles focused on Snowflake, SQL, and AWS.
- At least 2 years of hands-on experience developing and supporting production Apache Airflow workflows.
- Strong Python development skills, including experience building production data pipelines.
- Strong understanding of database security, backup, and recovery procedures.
- Strong communication and collaboration skills.
- Excellent problem-solving, troubleshooting, and time-management skills.
- Ability to manage multiple tasks and priorities in a fast-paced environment.
- Familiarity with project management tools such as Jira or similar.
- Permanent authorization to work for any employer in the U.S.; visa sponsorship is not available.
Nice To Haves
- Astronomer experience is strongly preferred.
Responsibilities
- Design, develop, and optimize data pipelines in Astronomer using current coding practices, industry standards, modern design patterns, and architectural principles.
- Develop Airflow DAGs, operators, tasks, and reusable Python components for data ingestion and transformation.
- Write clean, modular, and maintainable Python code.
- Monitor and triage data pipeline processes.
- Develop and maintain process and data documentation.
- Apply a software development approach that includes testing, documentation, modularity, DRY principles, CI/CD workflows, issue management, and remediation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
