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 a Senior 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…

• Develop and maintain scalable, high-performance ETL and data processing pipelines using Python, Airflow (Composer), and Dataflow.
• Design 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.
• Design databases, optimize SQL queries, and implement efficient data processing patterns.
• Work heavily within GCP (Google Cloud Platform) utilizing services including Composer, BigQuery, Pub/Sub, Dataflow, Kubernetes, and GCS.
• Proactively troubleshoot and resolve complex production issues, ensuring system reliability and performance.
• Mentor and support team members by sharing technical expertise, providing guidance, and fostering skill development.
• Drive engineering excellence by championing code reviews, maintaining coding standards, and implementing best practices.
• Stay ahead of emerging technologies and trends, advocating for their adoption where they add value.

You have…

• 7+ years of commercial software development experience in Python.
• 7+ years of SQL experience (BigQuery preferred), including deep knowledge of database design and query optimization.
• 3+ years of experience developing systems to process large volumes of data (tens of billions of records), ideally DAGs in Airflow/Composer.
• Deep understanding of distributed, parallel data processing techniques and platforms.
• Experience mapping business requirements to appropriate technical solutions.
• Excellent communication and collaboration skills, with a passion for mentoring and team growth.
• Bachelor’s degree in Software Engineering, Data Science, a related field, or equivalent experience.

Bonus points for…

• Ad-tech experience in digital marketing, particularly Audience Delivery and Taxonomy
• Experience with data integrations with LiveRamp, TheTradeDesk, OpenX or other ad networks.
• GCP experience
• Dataflow and Java

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 $130,000 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.