Data Engineer # 26-18115

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. In this role as a Data Engineer, you will lead initiatives across engineering teams, mentor junior engineers, and collaborate with various stakeholders to design and implement scalable data solutions.

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
• 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
• 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
• Some experience with Machine Learning
• Committed code to open source projects
• Experience building self-service tooling and platforms