Duration: 6 Month Contract

Job description:
In this role as a Data Engineer, you will:

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

Years of experience required: 8+ years.

Top 3 tech skills: Coding quality and velocity. Passionate about data quality. Product sense.
Top 3 soft skills: Navigate ambiguity. Excellent written and verbal skills. Problem solving/ability to unblock themselves.

Note:

Remote (San Francisco Bay Area, California or Bellevue/Seattle, Washington Required)

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

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Data Engineer # 26-18115

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