Data Engineer W2 role fully remote

Remote • Posted 1 day ago • Updated 7 hours ago
Contract Independent
Contract W2
Remote
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Confluent
  • Kafka
  • Kubernetes
  • Data bricks
  • Iceberg
  • Dagster
  • Airflow

Summary

Must be within USA

W2 role .

No agency or C2C will NOT be considered and Visa sponsorship is not available nor provided
 

Title: Data Engineer

Location: 100% Remote

Role type: 6 month contract to hire

 

Skills:

  • Confluent
  • Kafka
  • Kubernetes
  • Data bricks
  • Iceberg
  • Dagster/Airflow

 

District Overview

Kiewit Data Services (KDS) helps make Kiewit a data-driven organization by delivering trusted data, scalable data products, and platform capabilities that support teams across the business.

 

Responsibilities

  • Build and support data pipelines that ingest, transform, and publish data for analytics and data products.
  • Develop well-structured datasets using modern modeling and testing practices (e.g., dbt).
  • Orchestrate and monitor workflows using tools like Dagster (or similar).
  • Improve reliability through automation, testing, documentation, monitoring, and operational best practices.
  • Partner with engineers and stakeholders to understand needs and deliver high-quality data solutions

Qualifications

  • 4+ years of experience in data engineering, analytics engineering, software engineering, or a related role (or equivalent practical experience).
  • Experience with Python and SQL in production environments.
  • Experience with or strong interest in learning Azure and Databricks.
  • Experience with or strong interest in learning Dagster and dbt.
  • Understanding of lakehouse / data lake architecture concepts and how data is curated for analytics use cases.
  • Strong communication skills and ability to work effectively with cross-functional teams.

Preferred Qualifications

  • Experience with AI-assisted software engineering.
  • Experience with Spark-based processing, lakehouse table formats, and performance optimization.
  • Familiarity with CI/CD, Git-based workflows, and production support/on-call practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10107189
  • Position Id: 8904027
  • Posted 1 day ago
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