Sr. Data Engineer (Reno, NV or NYC, NY)

Posted 8 Days Ago
Easy Apply
2 Locations
Remote
Senior level
AdTech • Big Data • Information Technology • Marketing Tech • Sales • Software
Bombora helps sales and marketing teams focus on businesses that are actively interested in what they sell.
The Role
As a Senior Data Engineer at Bombora, you will develop and optimize systems to process billions of interactions daily, identify intent signals, and lead engineering initiatives. Responsibilities include architecting ETL pipelines in Google Cloud Platform, developing microservices, and mentoring junior engineers while working within an Agile environment.
Summary Generated by Built In

Bombora, the leading global B2B intent data and solutions provider, is powered by the world’s largest publisher data co-op. Our data allows sales and marketing teams to understand which companies are in market for their products and services and empowers them to execute their strategies across the entire customer lifecycle from prospecting, sales enablement to marketing/advertising and customer retention. We process billions of interactions to confidently identify intent signals from companies around the world.

Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions. We invented the B2B intent data category and have been delivering high quality, accurate solutions ever since.

As our Data Engineer, you will be responsible for developing and expanding our systems that handle billions of content interactions every day to detect intent signals from companies across the world. You will collaborate closely with product management, design, and other engineers, applying your strong critical thinking and analytical skills to transform visions into reality. Additionally, you will have the chance to lead cross-team initiatives, provide guidance to your team members, and establish engineering best practices. Bombora’s engineering teams are very collaborative, supportive curious and enjoy experimentation.

You will…

  • Deliver high-quality, high-performance solutions in rapid iterations in an Agile environment
  • Architect, maintain and optimize production ETL pipelines and systems
  • Design and implement large, highly scalable systems in Google Cloud Platform, including Dataflow, Kubernetes, Pub/Sub, and BigQuery
  • Develop Airflow/Composer pipelines in Python
  • Develop microservices in C# (docker & Kubernetes experience is preferred)
  • Mentor, support, and advance the development of junior colleagues with whom you will work

You have…

  • 8+ years of commercial software development experience in Python and SQL (BigQuery preferred.
  • 2+ years experience with cloud and/or big data systems (GCP preferred), in a technical leadership role
  • Ad-tech experience in digital marketing specializing in Audience Delivery and Taxonomy
  • Data integration or related experience with LiveRamp, TheTradeDesk, OpenX or other ad network
  • Confidence in architecting and optimizing streaming and batch ETL data pipelines and systems
    • Ability to architect scalable solutions running in Google Cloud Platform or other cloud providers
    • Comfortable selecting appropriate technologies and data structures/stores depending on the use cases, experience weighing trade-offs
  • Data Processing at scale: Experience optimizing queries and writing DAGs to process large volumes of data (tens of billions of records), ideally in Airflow/Composer
  • Continuously improve the code base and inspire others to do the same
  • Map business requirements to appropriate technical solutions
  • B.S. or significant, relevant experience

Bonus points for: 

  • Familiarity with microservice development, SOLID design principles and design patterns

Perks and Benefits

  • Health / Dental / Vision
  • Flexible Spending / Health Spending Accounts
  • Flexible Vacation / Paid Holidays / Summer Fridays
  • Education / Tuition Assistance / Annual Learning Stipend
  • 401K 
  • 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 $150,000 to $170.000. 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. Employment offers are contingent upon completion of successful background checks.

Top Skills

C#
Python
SQL

What the Team is Saying

Charles
Kyle
Brian Ly
Havona
Jen
Sherry
The Company
New York, NY
152 Employees
Hybrid Workplace
Year Founded: 2014

What We Do

Bombora’s mission is to revolutionize the martech industry through the use of data built on an ecosystem of quality, collaboration, and innovation. Our data is high quality, publisher sourced, accurate, flexible, and backed by the expert team that invented Intent data. From cutting out the waste and easing the frustration of traditional marketing methods, to the way we give our Bommies the support to grow into their best selves – we believe in sustainability, and that belief informs all that we do.

We’re not just the leader in B2B Intent data. We invented it.

Why Work With Us

At Bombora, we put people first. Better yet, we encourage employees to not just work here, but to grow here. Bommies are empowered to contribute from spaces and places that best serve the needs of the customer, organization, and themselves. This philosophy is proven through our company values and reflected in our policies and company culture.

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Bombora Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our hybrid policy offers employees an office for when they want one. We have offices in New York and Reno, Nevada. Bombora also hosts annual Company-wide kickoffs in January, so employees get a chance to fly into our NY office to meet fellow Bommies.

Typical time on-site: Flexible
New York, NY

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