Data Engineer - Remote

ManpowerGroup; San Francisco (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading staffing firm in San Francisco is hiring a Data Engineer to design and operate data pipelines, ensuring data reliability and governance. The role involves building scalable batch and streaming processes, enforcing data quality, and collaborating with product and analytics teams. Ideal candidates will have 4–6+ years in data engineering, proficiency in SQL, and a BS in Computer Science or Engineering. This position offers a professional work environment and commitment to equal employment opportunities.

Qualifications

• 4–6+ years of production data engineering experience or equivalent.
• Proficient in at least one general-purpose programming language.
• Strong data quality management skills.

Responsibilities

• Build and operate scalable batch and streaming data pipelines.
• Enforce data quality with automated tests and monitoring.
• Collaborate with product and ML teams to support production systems.

Skills

Production data engineering experience

Advanced SQL

Experience with cloud environments

Data modeling skills

CI/CD proficiency

Strong communication skills

Education

BS in Computer Science or Engineering

Tools

Distributed data processing frameworks

Containers and Kubernetes

Job description

Overview

Data Engineer We’re hiring a Data Engineer to design, build, and operate the data pipelines and platform that power analytics and AI/ML use cases. You’ll own batch and streaming ingestion, transformation, modeling, and data quality at scale—ensuring our data is reliable, well-governed, cost-efficient, and delivered with strong SLAs. You’ll partner closely with product, analytics, and ML teams to turn raw data into trusted, self-serve datasets and features.

Responsibilities

• Build and operate scalable batch and streaming data pipelines.
• Model, document, and publish curated datasets and ML-ready features.
• Enforce data quality with automated tests, SLAs, lineage, and monitoring.
• Tune storage and queries to optimize performance and cost.
• Protect data with robust security, privacy, and compliance controls.
• Collaborate with product, analytics, and ML teams and support production systems.

Required Skills and Experience

• 4–6+ years of production data engineering experience or equivalent.
• Advanced SQL and proficiency in at least one general-purpose programming language, with hands-on experience using distributed data processing frameworks.
• Proven delivery on a major cloud with a modern warehouse or lakehouse.
• Working knowledge of streaming patterns and platforms.
• Strong data modeling and fluency with modern file and table formats.
• Proficiency in orchestration, CI/CD, and infrastructure as code.
• Demonstrated ownership of data quality, observability, and lineage.
• BS in CS/Engineering or equivalent and strong communication skills.

Preferred Qualifications

• Experience building and maintaining feature pipelines and stores for ML.
• Familiarity with data catalog, lineage, and data quality toolchains.
• Track record enabling self-serve analytics with semantic layers or data build tool.
• Experience with containers and Kubernetes in production.
• Relevant cloud certifications and SaaS or product analytics domain exposure.
• Evidence of mentorship, code reviews, and cross-team technical leadership.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.