Technical SME Data Engineer

BLN24

• $110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with decision analysis and machine learning algorithms in a cloud-native environment
  • Proficient in Spark's architecture, core APIs, SparkSQL, and streaming capabilities
  • Skilled in data cleaning and comparative trend analysis on large datasets
  • Ability to translate organizational goals into effective ML and statistical models
  • Experience with open-source solutions and GitHub for source code management
  • Bachelor's degree in Mathematics, Data Science, or a related field; Master's degree preferred

Responsibilities

  • Design and implement decision analysis and machine learning models in a cloud-native environment
  • Develop large-scale data processing pipelines using Spark's core APIs and streaming capabilities
  • Perform data cleaning and create comparative trend analyses on large datasets
  • Translate organizational goals into working ML and statistical models
  • Ensure compliance with AI governance policies and bias-testing requirements
  • Contribute to open-source solutions and manage source code in GitHub
  • Collaborate with teams to communicate findings and model results

Benefits

  • Access to generous medical, dental, and vision plans
  • Opportunity to work with a fast-growing company in the DC Metro Area
  • Variety of projects across different sectors for professional growth
  • Flexible work arrangements, including remote opportunities to balance work and personal life
Full Job Description
Job Title: Technical SME Data Engineer

Location: McLean, VA

Company: BLN24

Position Overview:
BLN24 is seeking a Technical Subject Matter Expert (SME): Data Engineer to support CFPB's RegTech BPA program by turning large-scale regulatory data into actionable insight. This role requires deep experience implementing decision analysis and machine learning models in a cloud-native environment, strong expertise with Apache Spark, and the ability to translate organizational goals into working statistical and ML solutions that comply with federal AI governance requirements.

Primary Responsibilities:
  • Design, build, and implement decision analysis and machine learning models (e.g., Decision Trees, Random Forests, Gradient Boosted Trees, Linear Regression, Collaborative Filtering, K-Means) in a cloud-native environment
  • Develop large-scale data processing pipelines using Spark's core APIs, SparkSQL, and streaming capabilities
  • Perform data cleaning and create comparative trend analyses on large-scale datasets
  • Translate organizational goals into working ML models, statistical models, and pattern recognition solutions
  • Ensure all ML and AI model work complies with the Bureau's AI governance policy and OMB M-24-10 (or successor) documentation and bias-testing requirements
  • Contribute to open-source and community solutions, managing source code in GitHub
  • Collaborate with program, policy, and technical teams to communicate findings and model results.

Required Qualifications
  • 5+ years of professional experience with decision analysis and machine learning algorithms (e.g., Decision Trees, Random Forests, Gradient Boosted Trees, Linear Regression, Collaborative Filtering, K-Means) implemented in a cloud-native environment
  • Experience with Spark's architecture and internals, core APIs, SparkSQL and other high-level data access tools, and Spark's streaming capabilities, or similar
  • Experience performing data cleaning tasks and creating comparative trend analysis on large-scale data
  • Experience translating organizational goals into working machine learning models, statistical models, or pattern recognition
  • Experience working with open-source and community solutions and using GitHub for source code management
  • Bachelor's degree in Mathematics, Data Science, or similar field; Master's degree in Mathematics, Data Science, or similar field strongly preferred

Preferred Qualifications
  • 5+ Experience using Amazon Web Services EMR Spark
  • Experience with Zeppelin or similar interpreters
  • Familiarity with federal AI governance requirements, including model documentation and bias testing
  • Prior engagement at CFPB or other federal financial regulators (e.g., FDIC, OCC, SEC, FRB, NCUA)
  • Experience supporting a federal FISMA Moderate or comparable security-compliance environment

What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
  • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
  • Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.

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