Remote Data Engineer – Pipelines & ML Feature Engineering

Eliassen Group; Annapolis (MD); Remote; USD 171,924,000 - 200,579,000; Part time

Job summary

Eliassen Group seeks a Data Engineer to design and own scalable data pipelines across Azure and GCP, focusing on feature engineering for ML and reliable CI/CD practices. You’ll modernize data assets across SQL, NoSQL, and streaming platforms while documenting architectures and interfaces.

The role emphasizes collaboration with cross-functional teams, remote work flexibility, and a strong emphasis on testing and quality across the SDLC.

Qualifications

• 4+ years of professional data development experience.
• 4+ years with SQL and NoSQL technologies.
• 3+ years building and maintaining data pipelines and workflows.
• 2+ years developing with Python.
• Experience with feature engineering for machine learning pipelines.
• Experience with CI/CD pipelines and processes.
• Experience with automated unit, integration, and performance testing.
• Experience with version control such as Git.
• Understanding of ETL and data warehousing concepts.
• Understanding of Agile principles, including Scrum.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and integration.
• Modernize and extend core data assets across SQL, NoSQL, cloud, and real-time streaming platforms.
• Develop and manage feature engineering pipelines for machine learning.
• Design and implement automated testing frameworks to ensure data quality.
• Optimize data workflows for performance, cost efficiency, and scalability.
• Draft and review architectural diagrams and design documents.

Skills

SQL

NoSQL

Python

Data pipelines

CI/CD

Git

Testing

ETL

Agile/Scrum

Spark/Kafka

GCP / Vertex AI

Databricks

EventHub

SOA

BigQuery

Tools

Kafka

Databricks

BigQuery

Vertex AI

GitHub Actions

Job description

Eliassen Group seeks a Data Engineer to design and own scalable data pipelines across Azure and GCP, focusing on feature engineering for ML and reliable CI/CD practices. You’ll modernize data assets across SQL, NoSQL, and streaming platforms while documenting architectures and interfaces.

The role emphasizes collaboration with cross-functional teams, remote work flexibility, and a strong emphasis on testing and quality across the SDLC.