Data Engineer II

Reposted 25 Days Ago
8 Locations
109K-121K
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Professional Services • Software • Analytics • Consulting
We're the AI training and scaling partner for the leading foundation model providers, enterprises, and governments.
The Role
As a Data Engineer, you will build and maintain ETL pipelines, analyze requirements, develop databases, and mentor junior team members while collaborating with other engineers to support customer implementations.
Summary Generated by Built In
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

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.

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.
AI Interviewing Guidelines:
Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates.

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 [email protected]

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. 

Top Skills

AWS
Databricks
Dbt
Pyspark
Python
Snowflake
Spark
Terraform
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The Company
341 Employees
Remote Workplace
Year Founded: 2015

What We Do

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.

---

This isn’t a typical workplace; it’s a launchpad for those who crave extraordinary careers. Here, you’ll partner with world-class brands to tackle challenges at the bleeding edge of AI and innovation.

Comfort zones? They don’t exist here. Instead, we turn bold ambitions into breakthroughs that transform entire industries. In a culture fueled by autonomy and creativity, you’re trusted to shape your own path and deliver results. The work is demanding, but the rewards are worth it.

This is where you grow beyond limits, redefine what’s possible, and make an impact that lasts.

Why Work With Us

- Real Ownership: Accountability for outcomes and driving success alongside the company
- Peak Performance: Partnering with leading innovators to deliver at the highest levels
- Unrivaled Growth: Expanding expertise through hands-on experiences that transform industries
- Meaningful Autonomy: Remote-first environment built on trust and flexibility

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