Associate, Data Engineer
About The Position
Community Federal Savings Bank is a full-service payments, lending and banking provider that delivers global financial services through a personal approach. CFSB is seeking an Associate, Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services. You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences for our customers.
Requirements
- Ability to use programming languages including but not limited to Python, SQL, Java, Shell scripting
- Strong understanding with cloud computing platforms (e.g., AWS)
- Strong understanding of database security, backup, and recovery procedure
- Strong communication and collaboration skills
- Excellent problem-solving and troubleshooting skills
- Bachelor's degree in computer science, information technology, or a related field (or equivalent experience)
- Minimum 4 years of experience required
- Expert level experience as a Data Engineer with a focus on Snowflake, dbt cloud, SQL, Python, Shell scripting
Nice To Haves
- Experience with Data Visualization tools (Looker, Mode, Sigma, ThoughtSpot, etc.…) is a plus
Responsibilities
- Build and optimize data pipelines latest coding practices and industry standards, modern design patterns and architectural principles
- Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, combine raw information from different sources Develop and maintain process and data documentation
- Monitor and triage the data pipeline processes
- Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problem
- Apply a software development approach to data engineering problems (including testing, documentation, modularity and dry-ness, CI/CD workflow, etc.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
