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Job Title:  Data Engineer – AI/ML Pipelines (Consultant)

Company: BLN24

About Us: We find strength in teamwork-a better you is a better us

BLN24 is an award-winning Management Consulting Firm that supports 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:

We are seeking a highly skilled AWS Data Engineer to design, build, and maintain enterprise-scale data pipelines on AWS. This role will focus on AWS Glue, Data Catalog integration, and AI/ML model workflows using Amazon Bedrock. The engineer will ensure data is efficiently ingested, processed, cataloged, and made available for advanced analytics and generative AI use cases.

Key Responsibilities:

+ Design & Develop ETL Pipelines: Build scalable, serverless ETL pipelines using AWS Glue, Glue Studio, and Glue Data Catalogs, integrating with S3 and other AWS services.

+ Data Governance & Cataloging: Implement and maintain data cataloging, schema evolution, and partitioning strategies for structured/unstructured data.

+ Data Quality Assurance: Apply validation, deduplication, and anomaly detection to ensure clean, trusted datasets across pipelines.

+ Performance Optimization: Monitor and tune Spark jobs, Glue crawlers, and query performance for minimal latency and cost efficiency.

+ Security & Compliance: Apply IAM best practices, encryption (KMS), and auditing controls to ensure compliance with Federal data policies.

+ AI/ML Integration: Leverage Amazon Bedrock to analyze datasets with multiple foundation models (text, vision, multimodal). Build pipelines to support model inference, fine-tuning, and prompt engineering workflows.

+ Model Training & Scoring: Support ML model lifecycle by building training pipelines, hyperparameter tuning, and batch scoring pipelines integrated with data lakes and warehouses.

+ Collaboration: Partner with data scientists, cloud engineers, and business stakeholders to ensure data is accessible, secure, and aligned with mission objectives.

Required Qualifications:

+ Strong expertise with AWS Glue, Glue Data Catalog, Glue Crawlers, Lambda, and S3.

+ Hands-on experience building enterprise cloud-native data pipelines in secure, high-availability AWS environments.

+ Familiarity with Amazon Bedrock, foundational models, NLP, computer vision, and GenAI integration.

+ Proficiency in Python (PySpark) or Scala for large-scale data processing.

+ Understanding of algorithms, data structures, and distributed data systems.

+ Experience with data scoring, feature engineering, and ML pipelines.

+ Strong problem-solving, debugging, and performance optimization skills.

+ Excellent communication and collaboration abilities.

Preferred Qualifications

+ Experience with Redshift, Athena, or Lake Formation.

+ Knowledge of federated data governance frameworks in the federal sector.

+ Familiarity with MLOps frameworks (SageMaker Pipelines, MLflow, etc.).

+ Experience deploying GenAI solutions in production.

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.

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