Data Engineer (W2, Remote)

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Python
Snowflake
AWS
Spark

Job Details

Job Title: Data Engineer (W2, Remote)
Employment Type: Full-time, W2
Location: Remote (U.S.-based)

Job Description:

We are seeking a skilled and motivated Data Engineer to join our remote team. The ideal candidate will have experience building and maintaining data infrastructure, optimizing data pipelines, and supporting data-driven applications. You will work closely with data scientists, analysts, and product teams to ensure high data quality and availability across the organization.

Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines (ETL/ELT)

  • Develop and manage data infrastructure using cloud platforms (AWS, Google Cloud Platform, or Azure)

  • Ensure data integrity, quality, and consistency across sources and pipelines

  • Optimize SQL queries and performance of databases and data warehouses

  • Collaborate with data scientists and analysts to support data access and modeling needs

  • Monitor and troubleshoot production data workflows

  • Implement data security and governance best practices

Technical Skills Required:

  • Programming: Python, SQL, Bash (optional)

  • Data Engineering Tools: Apache Airflow, dbt, Spark, Kafka (or similar)

  • Databases: PostgreSQL, MySQL, Snowflake, Redshift, BigQuery

  • Cloud Platforms: AWS (S3, Lambda, Glue), Google Cloud Platform (BigQuery, Dataflow), or Azure

  • Big Data Technologies: Spark, Hadoop (nice to have)

  • Data Modeling: Experience with dimensional modeling and schema design

  • Version Control: Git

  • Containers (optional): Docker, Kubernetes

  • Data Warehousing: Experience with modern data stacks

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Engineering, or a related field

  • 10+ years of experience in a data engineering or backend data role

  • Strong SQL skills and experience with large-scale data processing

  • Familiarity with data governance, security, and compliance best practices

  • Excellent communication and problem-solving skills

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.