ACT Consulting, Inc.
My name is
Naren
and I am a Senior Technical Recruiter with ACT Consulting. We have an immediate need for a
Data Engineer
for our direct client located in
San Francisco, CA
ACT Consulting is a leader in the staffing industry providing candidates on a national basis for contract, contract to hire, and direct hire engagements while maintaining the highest regard for people, integrity, and customer satisfaction. Our clients are comprised mostly of Fortune 1000 companies, primarily in the areas of Information Technology, Engineering, Professional, Accounting and Finance.
Please take a moment to review the job description. If this is something you are interested in, please send a copy of your resume to naren@act-info.com or contact me directly at
704 200 9045 .
Job Title:
Data Engineer
(GLDKH) Location:
San Francisco, CA Onsite full time Duration: Full time Pay Rate-
$
150,000 - $220,000 USD
Why Join Exceptional Founding Team: Prior startup experience, tackling one of the largest markets in tech. AI-First Product: Build real-time, large-scale data systems that directly power AI adoption economics. High Impact: Your work will shape the way AI applications monetize, influencing the broader AI ecosystem. Culture of Speed & Learning: Early-stage startup environment where execution and reliability matter.
Core Responsibilities
Build and deploy large-scale data infrastructure. Develop and maintain real-time and batch data pipelines. Work with technologies like Kafka, Clickhouse, and other data infra tools. Balance speed of execution with system reliability. Collaborate closely with product engineers and founders to scale systems that monetize AI applications.
Must-Have Qualifications
3-5 years of experience as a full-stack or data engineer at a startup handling large-scale data. Strong full stack knowledge and fundamentals in data modeling, pipelines, and performance optimization. Experience with both batch and real-time data processing. Hands-on experience building and deploying data infrastructure. Undergraduate degree in CS or STEM (or equivalent evidence of work via GitHub activity or personal projects). Willingness to work on-site in San Francisco, 5 days/week. Excited about fast-paced startup work environments.
Preferred Qualifications
Prior experience at high-scale data infra companies (e.g., Segment, Confluent, Datadog, Fivetran). Visible GitHub projects, repos, or contributions demonstrating passion for data systems. Startup experience with meaningful individual contributions.
Naren
and I am a Senior Technical Recruiter with ACT Consulting. We have an immediate need for a
Data Engineer
for our direct client located in
San Francisco, CA
ACT Consulting is a leader in the staffing industry providing candidates on a national basis for contract, contract to hire, and direct hire engagements while maintaining the highest regard for people, integrity, and customer satisfaction. Our clients are comprised mostly of Fortune 1000 companies, primarily in the areas of Information Technology, Engineering, Professional, Accounting and Finance.
Please take a moment to review the job description. If this is something you are interested in, please send a copy of your resume to naren@act-info.com or contact me directly at
704 200 9045 .
Job Title:
Data Engineer
(GLDKH) Location:
San Francisco, CA Onsite full time Duration: Full time Pay Rate-
$
150,000 - $220,000 USD
Why Join Exceptional Founding Team: Prior startup experience, tackling one of the largest markets in tech. AI-First Product: Build real-time, large-scale data systems that directly power AI adoption economics. High Impact: Your work will shape the way AI applications monetize, influencing the broader AI ecosystem. Culture of Speed & Learning: Early-stage startup environment where execution and reliability matter.
Core Responsibilities
Build and deploy large-scale data infrastructure. Develop and maintain real-time and batch data pipelines. Work with technologies like Kafka, Clickhouse, and other data infra tools. Balance speed of execution with system reliability. Collaborate closely with product engineers and founders to scale systems that monetize AI applications.
Must-Have Qualifications
3-5 years of experience as a full-stack or data engineer at a startup handling large-scale data. Strong full stack knowledge and fundamentals in data modeling, pipelines, and performance optimization. Experience with both batch and real-time data processing. Hands-on experience building and deploying data infrastructure. Undergraduate degree in CS or STEM (or equivalent evidence of work via GitHub activity or personal projects). Willingness to work on-site in San Francisco, 5 days/week. Excited about fast-paced startup work environments.
Preferred Qualifications
Prior experience at high-scale data infra companies (e.g., Segment, Confluent, Datadog, Fivetran). Visible GitHub projects, repos, or contributions demonstrating passion for data systems. Startup experience with meaningful individual contributions.