Big Data Engineer

placerlabs· R&D
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📍 Ramat Gan, Israel

About this role

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.
What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.
Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.
Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.
 

SUMMARY:

  • As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:

  • Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
  • Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
  • Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
  • Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
  • Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
  • Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
  • Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
  • Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

 

REQUIREMENTS:

  • Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity
  • Proficiency in PySpark or Scala for Spark development
  • Proven track record delivering ETL pipelines and data integration at scale
  • Solid SQL skills and command of data modeling concepts
  • Cloud platform experience (AWS, GCP, or Azure) in a production data context
  • Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)

Nice to have:

  • Experience with pipeline orchestration tools, particularly Apache Airflow
  • Exposure to the geospatial or location analytics domain
  • Familiarity with Hadoop ecosystem components
  • Background in both Python and Scala (beyond Spark context)

WHY JOIN PLACER.AI? 

  • Join a rocketship! We are pioneers of a new market that we are creating
  • Take a central and critical role at Placer.ai
  • Work with, and learn from, top-notch talent
  • Competitive salary
  • Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

 

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

May 2026

Frequently Asked Questions

Is the salary disclosed for the Big Data Engineer position at placerlabs?
The salary for this Big Data Engineer role at placerlabs is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Big Data Engineer position at placerlabs located?
This Big Data Engineer role at placerlabs is based in Ramat Gan, Israel. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Big Data Engineer at placerlabs belong to?
This Big Data Engineer position is part of the R&D department at placerlabs. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Big Data Engineer position at placerlabs?
Click the "Apply Now" button on this page. You will be redirected to placerlabs's official application portal hosted on greenhouse where you can submit your application directly.
When was the Big Data Engineer job at placerlabs posted?
This Big Data Engineer position at placerlabs was posted on Apr 30, 2026. Apply as soon as possible — early applications are often reviewed first.
Big Data Engineer
placerlabs
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