Data Engineer
San Francisco
Full Time Mid-level / Intermediate USD 109K - 121K
Invisible Technologies
We combine AI and human intelligence to help enterprises capture every opportunity for efficiency, growth, and scale.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.
- Tier 1: $109,000 - $121,000
For more information on which locations are included in each of our geographic pay tiers. However, we recommend confirming the specific tier for your location with your recruiter. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.
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.
Country Hiring Guidelines:
Invisible is a remote-first organization and hires new team members in countries around the world. Although many of our roles are fully remote, some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Accessibility Statement:
We’re committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email.
Equal Opportunity Statement:
We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.
Tags: AWS Big Data CoHere Data analysis Databricks dbt Engineering ETL Pipelines PySpark Python Security Snowflake Spark Terraform Testing
Perks/benefits: Competitive pay Equity / stock options
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