Senior Data Engineer, Technology

Major Purpose:
The Data Engineer for Market Regulation Technology will work to establish and institutionalize data engineering best practices as FINRA moves to ML based pattern development. The development product for this move will be the creation of the Dynamic Surveillance Platform. A data engineer will work with a lead data engineer and data scientists in the creation of datasets using the Feature Framework portion of the Platform.

Essential Job Functions:

• Development of feature functions within the Feature Framework of the Dynamic Surveillance Platform
• Collaborate with Data Scientists to generate datasets using the Framework and implement new features in the Framework
• Strong coding skills with a history of creating and supporting reusable libraries (Scala preferred)
• Identify relevant internal and external data to meet business needs. Identify areas where missing data could be deemed useful in providing business insights.
• 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 Spark and related tools to extract, transform and load structured and unstructured data.

Other Responsibilities:

• Mentor other Data Engineers on the team and within FINRA on methodologies and best practices

Education/Experience Requirements:

• 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.
• 3+ years  of relevant experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact
• Strong algorithmic thinking and independent research ability
• Experience with Big Data platforms (Spark preferred)
• Experience with Scala is preferred, will consider experience in other languages (Ex: Python, R, Java)
• 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.

For work that is performed in CA, CO, HI, MN, VT, IL, Jersey City, NJ, NY, NY, MD, Washington DC, and WA the chart below outlines the proposed salary range for the corresponding location. In addition to location, actual compensation is based on various factors, including but not limited to, the candidate’s skill set, level of experience, education, and internal peer compensation comparisons.

CA: Minimum Salary $106,400, Maximum Salary $200,200

CO/HI/MN/VT*: Minimum Salary $92,500, Maximum Salary $166,800

IL*: Minimum Salary $101,800, Maximum Salary $183,900

Jersey City, NJ/NY, NY: Minimum Salary $111,000, Maximum Salary $200,200

MD/Washington, DC: Minimum Salary $106,400 Maximum Salary $191,800

WA: Minimum Salary $92,500, Maximum Salary $191,800

*Including positions performed outside the state but reporting to an office or manager in that state.

Candidates can expect salary offers that range from the minimum to the mid-point of the salary range. FINRA provides full pay ranges so that the candidate can consider their growth potential while at FINRA.

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To be considered for this position, please submit an application. Applications are accepted on an ongoing basis.

The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required.

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