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Data Engineer

US Tech Solutions

 

San Francisco Bay Area, CA, USA

Posted On: 30+ days ago
Experience: 8+ years
Availability: Hybrid
Openings: 1
Category: Data Engineer
Tenure: Contract - Corp-to-Corp
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Description

  • Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives,
  • Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth.
  • Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements.
  • Leverage deep technical expertise to design and architect scalable, high-performance data solutions.
  • Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.
  • Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval.
  • Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust.
  • Maintain full technical ownership of the end-to-end data engineering lifecycle for your team's solutions.
  • Participate in the team’s on-call rotation to ensure platform stability and support operational health.
  • Partner with software engineering teams to design and build next-generation data systems that enable rapid, self-service data consumption.

Skills Required:

  • A BE in Computer Science or equivalent with 8+ years of professional experience as a Data Engineer or in a similar role
  • Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.
  • Experience with Databricks and its APIs.
  • Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
  • Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
  • Champion automated builds and deployments using CICD tools like Bitbucket, Git
  • Experience working with large-scale, high-performance data processing systems (batch and streaming)
  • Experience working for SAAS companies
  • Some experience with Machine Learning
  • Committed code to open source projects
  • Experience building self-service tooling and platforms

Education

Bachelor's degree

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