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Data Engineer

Resource 1United States🇺🇸United States

Why this role stands out

This fully remote Data Engineer role offers significant career growth by allowing you to build and maintain scalable data pipelines on cloud platforms, directly impacting business intelligence and analytics. You'll thrive here if you possess strong SQL skills, cloud experience, and an ability to work independently, leveraging your expertise to ensure data integrity and optimize performance. Apply to join a company that values your contributions and offers a competitive benefits package.

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
SQLETL

Job description

Resource 1 is seeking a Data Engineer for a fully remote contract position. Candidates should have at least 5 years of experience as a Data Engineer and should have experience working with cloud platforms.

Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines to collect, process, and store large volumes of data from various sources.
  • Ensure data integrity, quality, and availability throughout the entire data lifecycle.
  • Develop and maintain data warehouse solutions that support our business intelligence and analytics needs.
  • Implement ETL (Extract, Transform, Load) processes to integrate data from multiple sources into a cohesive data warehouse.
  • Optimize and manage databases to ensure high performance, security, and scalability.
  • Perform regular database maintenance, monitoring, and troubleshooting to resolve any issues.
  • Collaborate with cross-functional teams to integrate data from different systems and platforms.
  • Ensure seamless data flow and synchronization between various applications and databases.
  • Develop and maintain documentation for data models, schemas, and data flow diagrams.
  • Identify opportunities to automate repetitive tasks and improve data processing efficiency.
  • Work closely with data scientists, analysts, and other stakeholders to understand data needs and provide technical support.

Qualifications:

  • 5+ years of data engineering experience.
  • Proficiency in SQL and experience with relational databases.
  • Familiarity with cloud platforms and their data services.
  • Ability to work independently.

Medical insurance and a 401(k) plan is offered to all eligible W2 employees.

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