Data Engineer # 26-18115
Duration
6 Month Contract
About the role
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
Responsibilities
- 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
Requirements
- 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
- Experience with 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
Skills
- Coding quality and velocity
- Passionate about data quality
- Product sense
Soft Skills
- Navigate ambiguity
- Excellent written and verbal skills
- Problem solving/ability to unblock themselves
Benefits
Remote (San Francisco Bay Area, California or Bellevue/Seattle, Washington Required)
Pay
TBD
Schedule
TBD
Qualifications
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
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 www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer.