Posted 2 days ago
Description
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 reach 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 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
will…Develop and maintain scalable, high-performance ETL and data processing pipelines using Python, Airflow (Composer), and
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
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 + 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
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 TaxonomyExperience with data integrations with LiveRamp, TheTradeDesk, OpenX or other ad networks.GCP experienceDataflow and JavaPerks and BenefitsHealth / Dental / VisionFlexible Spending / Health Spending AccountsFlexible Vacation / Paid Holidays / Summer FridaysEducation / Tuition Assistance / Annual Learning Stipend401K / MatchingGenerous Parental Leave (16 weeks primary/12 secondary)Commuter BenefitsOn Demand Learning (Udemy)Team Lunches / Outings / Events (Yes! We found a way to do virtually!)Compensation PackageThe 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
will…Develop and maintain scalable, high-performance ETL and data processing pipelines using Python, Airflow (Composer), and
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
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 + 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
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 TaxonomyExperience with data integrations with LiveRamp, TheTradeDesk, OpenX or other ad networks.GCP experienceDataflow and JavaPerks and BenefitsHealth / Dental / VisionFlexible Spending / Health Spending AccountsFlexible Vacation / Paid Holidays / Summer FridaysEducation / Tuition Assistance / Annual Learning Stipend401K / MatchingGenerous Parental Leave (16 weeks primary/12 secondary)Commuter BenefitsOn Demand Learning (Udemy)Team Lunches / Outings / Events (Yes! We found a way to do virtually!)Compensation PackageThe 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
