Senior Big Data Engineer

Reposted 11 Days Ago
Be an Early Applicant
Ramat Gan
In-Office
Senior level
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Placer.ai is the leader in location analytics.
The Role
Design and operate large-scale data products, manage pipelines and services, ensure data quality, and collaborate with cross-functional teams.
Summary Generated by Built In

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:
We’re looking for a hands-on Individual Contributor Data Engineer to design, build, and operate large-scale data products at Placer.ai. You’ll own mission-critical pipelines and services, balancing pre-computation with on-demand execution to deliver complex, business-critical insights with the right cost, latency, and reliability.

 RESPONSIBILITIES:

  • Design and run Spark data pipelines, orchestrated with Airflow, governed with Unity Catalog.
  • Build scalable batch and on-demand data products, aiming for the sweet spot between pre-compute and on-demand for complex logic - owning SLAs/SLOs, cost, and performance.
  • Implement robust data quality, lineage, and observability across pipelines.
  • Contribute to the architecture and scaling of our Export Center for off-platform report generation and delivery.
  • Partner with Product, Analytics, and Backend to turn requirements into resilient data systems.

REQUIREMENTS:

  • BSc degree in Computer Science or an equivalent
  • 5+ years of professional Backend/Data-Engineering experience
  • 2+ years of Data-Engineering experience
  • Production experience with Apache Spark, Airflow, Databricks, and Unity Catalog.
  • Strong SQL and one of Python/Scala; solid data modeling and performance tuning chops.
  • Proven track record building large-scale (multi-team, multi-tenant) data pipelines and services.
  • Pragmatic approach to cost/latency trade-offs, caching, and storage formats.
  • Experience shipping reporting/exports pipelines and integrating with downstream delivery channels.
  • IC mindset: you lead through design, code, and collaboration (no direct reports).

OTHER REQUIREMENTS: 

  • Delta Lake, query optimization, and workload management experience.
  • Observability stacks (e.g., metrics, logging, data quality frameworks).
  • GCS or other major cloud provider experience.
  • Terraform IAC experience.

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 in a nutshell
  • Placer.ai's $100M round C funding (unicorn valuation!)
  • Placer.ai's data
  • Placer.ai in the news
  • COVID-19 Economic Recovery Dashboard

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.

Top Skills

Airflow
Spark
Databricks
Delta Lake
Python
Scala
SQL
Terraform
Unity Catalog
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The Company
HQ: Santa Cruz, CA
800 Employees
Year Founded: 2017

What We Do

Placer.ai is the most advanced foot traffic analytics platform allowing anyone with a stake in the physical world to instantly generate insights into any property for a deeper understanding of the factors that drive success.

Placer.ai is the first platform that fully empowers professionals in retail, commercial real estate, hospitality, finance, economic development, and more to truly understand and maximize their offline activities.

Why Work With Us

Placer is a remote first with a highly collaborative culture. Our product solves many use cases, from mitigating food deserts to battling blood shortages during rapid response crises, Placer data plays a critical role in supporting local communities and driving social progress in addition to providing invaluable market intelligence to our clients.

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