Senior AWS Data Engineer (Freelance) Production Pipelines

United States Digital Space LLC

United States

Remote

USD 140,000 - 210,000

Part time

13 days ago
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Benefits offered by this job

Remote freelance engagement

Job summary

United States Digital Space LLC is seeking a senior freelance data engineer to consolidate and migrate customer data infra on AWS in weeks, not quarters. You will own pipelines on EMR/Glue, model data for Redshift/Snowflake, and orchestrate workflows with Airflow in a forward-deployed delivery model.

You will work with teams to meet data needs, write PySpark/SQL ETL scripts, and help deliver production systems with fast, validated cutovers.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 3+ years of experience with PySpark and SQL.
  • 2+ years building data pipelines with EMR or Glue.
  • 2+ years data modeling and querying with Redshift/Snowflake/Athena/Presto.
  • 1+ years orchestration with Airflow.
  • Strong problem-solving and collaboration skills.
  • Ability to work independently and in a team.

Responsibilities

  • Build and maintain production data pipelines on EMR or Glue.
  • Design data models and end-user queries on Redshift, Snowflake, Athena, and Presto.
  • Build and maintain Airflow-based orchestration.
  • Collaborate with teams to meet data needs and design solutions.
  • Troubleshoot and optimize pipelines under real load.
  • Write PySpark and SQL scripts for ETL tasks.
  • Document technical decisions for technical and non-technical audiences.
  • Track new AWS data technologies and assess impact.

Skills

PySpark
SQL
Airflow
Data modeling
ETL pipelines
Troubleshooting
Communication

Education

Bachelors in CS/Engineering

Tools

Amazon EMR
Amazon Glue
Redshift
Snowflake
Athena
Presto

Job description

United States Digital Space LLC is seeking a senior freelance data engineer to consolidate and migrate customer data infra on AWS in weeks, not quarters. You will own pipelines on EMR/Glue, model data for Redshift/Snowflake, and orchestrate workflows with Airflow in a forward-deployed delivery model.

You will work with teams to meet data needs, write PySpark/SQL ETL scripts, and help deliver production systems with fast, validated cutovers.

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