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Bombora

Data Engineer III (Reno, NV or NYC, NY or Remote, US)

Sorry, this job was removed at 04:24 p.m. (EST) on Thursday, Jul 17, 2025
Easy Apply
Remote or Hybrid
3 Locations
Easy Apply
Remote or Hybrid
3 Locations

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The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative—enabling a holistic view of an account’s research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and identify their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice.

Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions.

As a Data Engineer, you will be responsible for developing and expanding our systems that handle billions of content interactions daily to detect intent signals from companies worldwide. You will collaborate closely with product management, design, and other engineers, applying your strong critical thinking and analytical skills to transform visions into reality. Bombora’s engineering teams are very collaborative, supportive, curious and enjoy experimentation.

You will...

  • Enjoy working collaboratively across teams to release quality products
  • Have good problem-solving abilities
  • Be a clear communicator, especially when breaking down technical solutions
  • Have a track record of implementing highly reliable software at scale
  • Become a subject matter expert and demonstrate a deep understanding of the intricacies involved in any problem
  • Exhibit a strong sense of ownership over their work
  • Display a strong drive to get things done efficiently
  • Be creative, pragmatic, and curious

You have...

  • Developed and maintain scalable, high-performance ETL and data processing pipelines using Python, Airflow (Composer), and Dataflow.
  • Designed cloud-native distributed data processing systems that are optimized for dynamic scaling, high availability, and parallel execution, leveraging Kubernetes and operational tools to ensure reliability and observability in production.
  • Designed databases, optimize SQL queries, and implement efficient data processing patterns.
  • Worked heavily within GCP (Google Cloud Platform) utilizing services including Composer, BigQuery, Pub/Sub, Dataflow, Kubernetes, and GCS.
  • Driven engineering excellence by maintaining coding standards and implementing best practices.
  • Have fun in an environment of collaboration, curiosity, and experimentation.

Required Skills/Abilities: 

  • Language fluency: Python and SQL. 
  • Confidence in building and optimizing streaming and batch ETL data pipelines and systems.
  • Ability to implement solutions running in Google Cloud Platform or other cloud providers
  • Some experience making architectural decisions to solve problems in complex systems
  • Comfortable selecting appropriate technologies and data structures/stores depending on the use cases, experience weighing trade-offs.
  • Databases: Familiar with advanced SQL and relational databases, ideally in Google BigQuery.
  • Experience optimizing queries and writing DAGs to process data.
  • Impactful and effective: Continuously improve the code base and inspire others to do the same.
  • Ability to ramp up quickly when picking up new technologies, code bases, and systems.
  • Enjoy working collaboratively, and supporting the team as needed.

Education and Experience:

  • 5+ years of commercial software development experience in Python
  • 5+ years of experience with SQL (BigQuery preferred)
  • 4+ years experience with cloud and/or big data systems (GCP preferred)
  • B.S. / M.S. / Ph.D. / A.B.D. in computer science, physics, applied mathematics, or a related degree, or other significant experience

Perks and Benefits

  • Health / Dental / Vision
  • Flexible Spending / Health Spending Accounts
  • Flexible Vacation / Paid Holidays / Summer Fridays
  • Education / Tuition Assistance / Annual Learning Stipend
  • 401K / Matching
  • Generous Parental Leave (16 weeks primary/12 secondary)
  • Commuter Benefits
  • On Demand Learning (Udemy)
  • Team Lunches / Outings / Events (Yes! We found a way to do virtually!)

Compensation Package

  • The salary range for this position is $140,000 to $160,000. Actual compensation may vary and will be based on a candidate’s qualifications, skills, experience, and location.
  • Equity

At Bombora, we embrace diversity because it breeds innovation. Bombora is an equal-opportunity employer and participates in E-Verify. 

HQ

Bombora New York, New York, USA Office

Our NY Headquarters is located on Madison Avenue- the heart of New York. This vibrant neighborhood offers a mix of trendy restaurants and cultural landmarks. Our office space is in a prime location, and an ideal place for professionals seeking a dynamic work-life balance.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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