Remote Data Engineer: Scalable Pipelines and ML Features

Eliassen Group

Phoenix (AZ)

Remote

USD 83,000 - 96,000

Part time

11 days ago

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Benefits offered by this job

Medical, Dental, Vision benefits

Job summary

Eliassen Group is seeking a Data Engineer for a remote contract role. You will design and run scalable data pipelines across Azure and GCP, own data assets, and collaborate with cross-functional teams throughout the SDLC.

The role emphasizes modern data workflows, feature engineering for ML with Vertex AI and BigQuery ML, automated testing, CI/CD, and documenting architectures. W2 benefits are available for consultants.

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 using Kafka and Databricks.
  • Leverage innovative technologies to modernize and extend core data assets across SQL, NoSQL, cloud, and real-time streaming platforms.
  • Develop and manage feature engineering pipelines for machine learning using Vertex AI, BigQuery ML, and Python.
  • Design and implement automated unit, integration, and performance testing frameworks to ensure data quality and reliability.
  • Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments.
  • Draft and review architectural diagrams, interface specifications, and design documents to communicate data solutions and requirements.
  • Own systems, processes, and tech stack elements and drive features to completion across internal and external applications.

Skills

SQL
NoSQL
Data pipelines
Python
Kafka
Databricks
BigQuery
Vertex AI
Spark
GitHub Actions
CI/CD
Git
Agile/Scrum
GCP

Tools

Kafka
Databricks
Spark
GitHub Actions
BigQuery

Job description

Eliassen Group is seeking a Data Engineer for a remote contract role. You will design and run scalable data pipelines across Azure and GCP, own data assets, and collaborate with cross-functional teams throughout the SDLC.

The role emphasizes modern data workflows, feature engineering for ML with Vertex AI and BigQuery ML, automated testing, CI/CD, and documenting architectures. W2 benefits are available for consultants.

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