Blue Coding

Senior Data Engineer, VM

Blue Coding

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSCloudETLPySparkPythonSQL

About the role

  • Design & implement a modern data warehouse using Amazon Redshift, ensuring scalability and performance.
  • Develop and maintain ETL pipelines using AWS Glue (Python/PySpark), moving data from SQL Server (RDS) and other sources.
  • Structure our S3 data lake for efficient storage, partitioning, and integration with Redshift.
  • Define data models (star schema, dimensional modeling) to support reporting and analytics.
  • Establish data governance—documentation, quality checks, and monitoring for pipelines.
  • Collaborate with BI teams to ensure the warehouse meets reporting needs (CRM, dashboards).
  • Optimize costs by tuning Redshift clusters, managing Glue job efficiency, and automating workflows.
  • Troubleshoot data infrastructure issues and optimize performance across systems.
  • Contribute to the long-term vision for the data platform, including new tools, workflows, and process automation.
  • Maintain documentation of data systems, flows, and integration strategies.
  • Support project planning and estimation in coordination with business and technical teams

Requirements

  • Bachelor's degree in Computer Science or a related field, or equivalent work experience.
  • 5+ of related work experience in data engineering, data architecture or a similar role.
  • Strong SQL & Python skills (PySpark is a plus).
  • Experience building ETL pipelines (preferably in AWS Glue, Airflow, or similar).
  • Knowledge of data modeling (e.g., star schema, slowly changing dimensions).
  • Ability to lead technical decisions without heavy oversight (small team environment).
  • Budget-conscious mindset—experience optimizing cloud costs (Redshift, Glue).
  • Excellent problem-solving and analytical skills.
  • Strong organizational skills and attention to detail.
  • Effective time management skills.
Benefits
  • Salary in USD
  • Long-term
  • Flexible schedule (within US Time zones)
  • 100% Remote
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data warehouseETL pipelinesSQLPythonPySparkdata modelingstar schemadimensional modelingdata governanceperformance optimization
Soft Skills
problem-solvinganalytical skillsorganizational skillsattention to detailtime managementleadershipcollaborationbudget-conscious mindset
Certifications
Bachelor's degree in Computer Science