Remote Data Engineer — Cloud Pipelines & ML Features

Eliassen Group; Columbus (OH); Remote; USD 83,000 - 96,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) with company match

Life insurance

Job summary

Eliassen Group is seeking a Data Engineer for a remote contract role focused on building and optimizing scalable data pipelines across Azure and GCP. You will own data systems, CI/CD, and the tech stack across the SDLC, collaborating with cross-functional teams.

The role emphasizes feature engineering for machine learning, automated testing, and documentation of architectures. Strong SQL/NoSQL, Python, and cloud experience are required.

Qualifications

• 4+ years of professional data development experience.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and integration using Kafka and Databricks.
• Leverage technologies to modernize data assets across SQL, NoSQL, cloud, and streaming platforms.
• Develop feature engineering pipelines for ML using Vertex AI and Python.
• Design and implement automated testing frameworks to ensure data quality and reliability.
• Optimize data workflows for performance, cost efficiency, and scalability.
• Draft architectural diagrams and interfaces to communicate data solutions.
• Own systems, processes, and tech stack elements and drive features to completion.

Skills

Kafka

Databricks

Python

Vertex AI

BigQuery ML

SQL

NoSQL

CI/CD

Git

Unit testing

ETL

Tools

GitHub Actions

Databricks

Spark

Kafka

Vertex AI

BigQuery

Job description

Eliassen Group is seeking a Data Engineer for a remote contract role focused on building and optimizing scalable data pipelines across Azure and GCP. You will own data systems, CI/CD, and the tech stack across the SDLC, collaborating with cross-functional teams.

The role emphasizes feature engineering for machine learning, automated testing, and documentation of architectures. Strong SQL/NoSQL, Python, and cloud experience are required.