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Senior Data Engineer, VM

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2014H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

38 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAirflowAmazon RedshiftAWSCloudETLPy SparkPythonSQL

Job Description

• 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

Job 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

Related Categories

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Related Job Pages

Remote Full-time Jobs (US)Remote Python Jobs (US)More US Remote Jobs

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