Data Engineer IV - Contract: AI-Powered Data Pipelines

US Tech Solutions; Menlo Park (CA); On-site; USD 110,000 - 193,000; Part time

Job summary

US Tech Solutions is seeking a skilled Data Engineer for a 6-month contract in Menlo Park, CA. The role involves building scalable data pipelines, ETL processes, and AI-native tooling to accelerate data engineering velocity.

You will collaborate with data scientists, analysts, and engineers to deliver high-quality data solutions, ensure data quality and security, and develop dashboards for product goal tracking.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Experience building and maintaining ETL pipelines.
• SQL and at least one programming language (Python/Java/Scala).
• Experience with Snowflake/Redshift/BigQuery and AWS/GCP.
• Strong problem-solving and communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
• Ensure data quality, integrity, and security across all data systems; implement automated monitoring and anomaly detection.
• Develop dashboards and reporting solutions that support product goal tracking and decision-making.
• Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, processes, and best practices, contributing to a culture of knowledge sharing and operational excellence.

Skills

Data engineering

SQL

Python/Java/Scala

Communication

Problem-solving

Education

Bachelor's degree in CS/Engineering/Math or equivalent

Tools

Snowflake

Redshift

BigQuery

AWS

GCP

Job description

US Tech Solutions is seeking a skilled Data Engineer for a 6-month contract in Menlo Park, CA. The role involves building scalable data pipelines, ETL processes, and AI-native tooling to accelerate data engineering velocity.

You will collaborate with data scientists, analysts, and engineers to deliver high-quality data solutions, ensure data quality and security, and develop dashboards for product goal tracking.