Data Engineer II Job at Invisible Technologies, San Francisco, CA

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  • Invisible Technologies
  • San Francisco, CA

Job Description

About Invisible Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue. About The Role Data Engineers work to support the day-to-day operations of Invisible deployments. Our customers rely on our platform for some of their most critical operations. As a Data Engineer, you’ll apply your problem solving ability, creativity, and technical skills to support our customer’s implementations and workflows. You’ll have the opportunity to gain rare insight into challenging problems at the world's most important organisations and directly contribute to solving them. What You’ll Do Build, optimize, and maintain ETL pipelines Modify existing application code or interfaces, or develop new components Analyze requirements, participate in design, and handle coding, testing, debugging, deployment, and maintenance Develop and implement databases, data collection systems, and data analysis strategies for better efficiency and quality Conduct code and design reviews to maintain a high-quality product Mentor and guide Junior colleagues and new team members Collaborate with other Data Engineers and Forward deploy engineers and Platform engineers to prioritize business needs Share technical insights with the wider engineering teams What We Need 3+ years of hands-on experience in software development and/or Big Data Excellent knowledge of Python Proficiency in PySpark and strong understanding of Spark Experience in building and maintaining Data Lakes or Data Warehouses (preferably Snowflake or Databricks) Strong understanding of ETL frameworks (e.g., dbt) Good knowledge of AWS (IAM, S3, and Security Groups) Familiarity with Infra-as-Code (Terraform or similar) Great communication skills: able to articulate status updates, blockers, and design considerations Ability and interest to travel up to 30% of the time for meetings with clients What’s in it for you Compensation: Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It’s Like to Work at Invisible: At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. #J-18808-Ljbffr Invisible Technologies

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