Senior Data Engineer – MongoDB

Location: Rockville, Maryland - Remote
Category: Data
Employment Type: Contract
Job ID: 16653
Date Added: 06/12/2024

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Overview:

FINRA is seeking a Senior Data Engineer to join the AdReg team within Business, Legal, and Enterprise Systems. This role is crucial for building a robust reporting infrastructure. You will collaborate with engineering, business users, product management, and cross-functional teams to ensure effective data solutions and reporting capabilities.


Responsibilities:

1. Collaboration and Design:

  • Work with software engineers and the product team to understand existing databases, data models, and current reporting infrastructure.
  • Engage with business users and product managers to comprehend business requirements and translate them into technical data designs.
  • Document reports, develop, and support technical specifications for all reporting processes.
  • Create a new, scalable reporting infrastructure.

2. Development and Building:

  • Design and support reporting datastores and schemas for new and existing data sources.
  • Develop systems for importing and maintaining the reporting datastore in the cloud, including ETL processes and business intelligence tools.

3. Documentation and Training:

  • Document datastore schemas and ETL processes in the internal wiki to establish a reporting knowledge repository.
  • Share and teach reporting best practices to engineers and business users.

Qualifications:

  • Experience: 7+ years in data engineering with a focus on building scalable data pipelines and infrastructures.
  • Database Skills: Proven experience in manipulating, processing, and extracting data from SQL and NoSQL datastores (MongoDB preferred).
  • Technical Environment: 5+ years in a technical setting using modern technologies like AWS data services (AWS Lambda, Athena) and Python data processing libraries.
  • SQL Expertise: Advanced SQL knowledge with hands-on experience in relational and non-relational databases (MongoDB preferred).
  • Programming: Strong programming skills, preferably in Python and Java.
  • Business Intelligence Tools: Familiarity with BI tools, especially PowerBI.
  • Communication: Excellent communication skills with experience supporting and collaborating with cross-functional teams.
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