Data Engineer – Classical Statistics & Machine Learning

Job Title

Data Engineer

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

BLN24 is seeking a mid-level Data Engineer to support a large-scale data and analytics platform modernization effort for a federal statistical agency client. This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze that data once it’s available).

The ideal candidate is equally comfortable writing production-grade ingestion and

transformation code as they are designing and validating a statistical or ML model.

This role works closely with SMEs across multiple program areas to understand source data, build reliable ETL/ingestion pipelines, and apply analytical methods — anomaly detection, statistical modeling, and machine learning — to support operational decision-making.

Key Responsibilities

Data Engineering

* Design, build, and maintain ETL/ELT pipelines to ingest data from multiple source systems into the platform’s central data store * Develop and maintain data ingestion workflows for both batch and near-real-time sources * Implement data validation, cleaning, and transformation logic to ensure data quality and consistency across pipelines * Work within a modern lakehouse/cloud data architecture, optimizing pipeline performance and reliability * Build and maintain data models and schemas that support downstream analytics and reporting needs * Monitor...