Senior Data Engineer - Technology - Rockville, MD
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The Financial Industry Regulatory Authority (FINRA) is seeking a well-qualified individual for our Senior Data Engineer opening in Rockville, MD with frequent travel to Washington, DC office. To be considered for this position, please submit your resume through our career site at www.finra.org/careers - no phone calls, please.
As a Data Engineer for the Office of Chief Economist, you will work on various projects alongside our economists to collect, build and refine datasets for the research work they perform. You will be the liaison between various technology groups who possess or can acquire data as requested by our economists. Once the data is acquired, you will also cleanse and assemble the data as per the economist's needs. Good programming skills are essential so data can be assembled quickly and in a consistent and reusable fashion. Good programming practices (documentation, source control, testing) are also essential so research can be repeated/expanded many months after the initial work was completed.
Essential Job Functions:
- Ability to speak to two distinct audiences, both technical and business (economists)
- Project management skills to track and manage the various data needs of our economists
- Assemble datasets to the needs of the economists from the collected data
- Develop strategies to extract, resolve and unify information of various types from numerous disparate data sources. Obtain, clean, and manage large, fast moving disparate data sets.
- Perform queries, aggregations, joins, and transformations using related tools to extract, transform and load structured and unstructured data.
- Bachelor's degree in computer science or related engineering field with at least five (5) years of related. experience, or equivalent training and / or work experience.
- Experience with data in the cloud, particularly AWS with technologies such as S3, EMR, RDS and EC2.
- Significant experience working closely with the business users of data.
- Proficiency with SQL and R or Python for assembling diverse datasets.
- Experience with Big Data platforms (Spark preferred).
- Strong written and verbal communication skills.
- Demonstrated ability to develop effective working relationships.
- Should be well organized, thorough, and able to handle competing priorities.
- Ability to work in a fast-paced environment.
Working Conditions :
- Work is normally performed in an office environment.
- Occasional travel and extended hours may be required.
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In addition to a competitive salary, comprehensive health and welfare benefits, and incentive compensation, FINRA offers immediate participation and vesting in a 401(k) plan with company match. You will also be eligible for participation in an additional FINRA-funded retirement contribution, our tuition reimbursement program and many other benefits. If you would like to contribute to our important mission and work collegially in a professional organization that values intelligence, integrity and initiative, consider a career with FINRA.
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Find out more about us and how we work-and view our current openings-at www.finra.org/careers .
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