Technical SME Data Engineer

Bln24, Llc.; McLean (VA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Remote work options

Job summary

BLN24 in McLean, VA seeks a Technical SME: Data Engineer to transform large regulatory data into actionable insights. You will design decision-analytic and ML models in a cloud-native environment, focusing on reliability and governance.

The role emphasizes Spark-based pipelines, data cleansing, and collaboration with policy and technical teams to communicate results. Prior federal or regulatory experience and GitHub collaboration are a plus.

Qualifications

• 5+ years of experience with decision analysis and ML algorithms in a cloud-native environment.
• Experience with Spark architecture, core APIs, SparkSQL, and streaming capabilities.
• Data cleaning and comparative trend analyses on large-scale data.
• Bachelor's in Mathematics/Data Science; Master's preferred.

Responsibilities

• Design, build, and implement ML models in a cloud-native environment.
• Develop large-scale data processing pipelines using Spark 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 ML and AI model work complies with AI governance policy 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.

Skills

Decision analysis

Machine learning

Data cleaning

Communication of findings

Education

Bachelor's degree in Mathematics, Data Science, or similar

Master's degree in Mathematics, Data Science, or similar (preferred)

Tools

Apache Spark

SparkSQL

Spark Streaming

GitHub

Zeppelin

AWS EMR Spark

Job description

Job Title: Technical SME Data Engineer

Location: McLean, VA

Company: BLN24

About Us:

We find strength in teamwork-a better you is a better us

BLN24 is an award-winning Management Consulting Firm thatsupports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.

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.

BLN24 is an Equal Opportunity Employer.We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.