Data Software Engineer at Federal Reserve
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Summary
Designs, builds, and maintains robust data pipelines for the Federal Reserve's economic research systems on the CADRE team, handling data validation, cleansing, audits, and ETL solutions with clients using Agile/DevOps practices. Core stack: SQL, AWS, Python, and PySpark.
Become a pivotal Data Software Engineer with the Federal Reserve Bank of Kansas City. Work on cutting-edge technologies to streamline data processing and bolster economic research systems.
This full-time position at the CADRE team involves utilizing Agile/DevOps methodologies to design, build, and maintain robust data pipelines. You will engage in tasks like data cleansing, quality assurance, and ETL processes, collaborating with clients to develop innovative data solutions. Your expertise in SQL, AWS, and Python will be fundamental to driving our data initiatives across the Federal Reserve System.
Key Responsibilities: • Validate and manipulate data before it’s stored • Develop automated testing methods for data integrity • Conduct regular audits and investigations on data • Design and implement guidelines and documentation • Partner with teams on ETL processes and solutions
Requirements: • 6-15+ years of relevant experience • Bachelor’s degree in STEM or related field • Proficiency in SQL and relational databases • Experience with AWS and cloud data technologies • Knowledge of Python, PySpark, and modern data stacks
Utilize your expertise in data engineering to enhance the Federal Reserve's analytical capabilities and contribute to vital economic research.
This full-time position at the CADRE team involves utilizing Agile/DevOps methodologies to design, build, and maintain robust data pipelines. You will engage in tasks like data cleansing, quality assurance, and ETL processes, collaborating with clients to develop innovative data solutions. Your expertise in SQL, AWS, and Python will be fundamental to driving our data initiatives across the Federal Reserve System.
Key Responsibilities: • Validate and manipulate data before it’s stored • Develop automated testing methods for data integrity • Conduct regular audits and investigations on data • Design and implement guidelines and documentation • Partner with teams on ETL processes and solutions
Requirements: • 6-15+ years of relevant experience • Bachelor’s degree in STEM or related field • Proficiency in SQL and relational databases • Experience with AWS and cloud data technologies • Knowledge of Python, PySpark, and modern data stacks
Utilize your expertise in data engineering to enhance the Federal Reserve's analytical capabilities and contribute to vital economic research.