W2 Openings Data Engineer :: Location: 100% Remote

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineer

Summary

Role: Data Engineer

Location: 100% Remote

Job type: W2 Only

 

Position Overview

Our Client is seeking a motivated Junior Data Engineer to join its Engineering Innovation Center (EIC). This is an excellent opportunity for early-career professionals looking to build their technical skills while working at a Fortune 5 organization. The ideal candidate is eager to learn, adaptable, and passionate about solving data engineering challenges.

The role involves supporting both legacy data systems and a modern UI-based data platform. Candidates will spend a significant portion of their time writing SQL, developing Python-based solutions, troubleshooting data issues, and contributing to the automation and optimization of marketing data workflows.

 

Key Responsibilities

  • Develop and optimize SQL queries for data processing and UI platform development.
  • Support and maintain legacy data engineering applications using Python.
  • Troubleshoot production and data pipeline issues.
  • Assist in building, improving, and automating data workflows.
  • Work with both code-based and UI-driven ETL processes.
  • Collaborate with engineering and business teams to deliver reliable data solutions.

 

Required Skills

  • Strong SQL skills (joins, CTEs, window functions, JSON parsing, query optimization).
  • Proficiency in Python with clean, modular coding practices.
  • Strong troubleshooting and analytical problem-solving abilities.
  • Experience working with large datasets.
  • Excellent communication and collaboration skills.
  • Eagerness to learn new technologies and adapt to evolving environments.

 

Preferred Skills

  • Databricks and PySpark.
  • Kafka and event-driven architecture.
  • Cloud platforms such as Azure, Google Cloud Platform, or Snowflake.
  • Data warehousing concepts, ETL pipelines, and Git.
  • CI/CD practices, APIs, microservices, and data quality monitoring.

Thanks & Regards

Prateek Singh

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: 10423087
  • Position Id: 8753-19411-
  • Posted 4 hours ago
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