Senior Software Engineer - Contributory Network

Zoom Info is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen—fast.

We’re looking for a Senior Software Engineer to join the Contributory Network team within Data Acquisition—one of Zoom Info’s most strategically important initiatives.

The Contributory Network is building the platform that ingests, transforms, and processes first‑party data contributed by thousands of customers through their CRM, email, and recording provider integrations. This data powers a suite of intelligence products—from competitive benchmarking and buyer committee insights to predictive market timing— that are impossible to build any other way.

This role demands a driver. We need someone who takes ownership, pushes through ambiguity, unblocks themselves and others, and relentlessly moves work forward. You won’t wait for perfect specs or complete clarity— you’ll carve the path, make decisions, and deliver. If you thrive when given a hard problem and the autonomy to solve it, this is your role.

• Own and drive the design and implementation of large‑scale data pipelines that ingest, validate, transform, and enrich first‑party contributed data from CRM systems, email providers, and recording platforms
• Architect resilient ETL/ELT pipelines handling massive volumes of contact data, opportunity metadata, engagement signals, and activity patterns
• Take initiative on complex technical challenges—identify problems proactively, propose solutions, and execute with urgency
• Build streaming and batch processing systems for real‑time and scheduled data flows using Kafka, Pub/Sub, Apache Beam, or similar
• Establish data quality frameworks, ensuring accuracy, consistency, and completeness across contributed data
• Define and implement observability, monitoring, and alerting for pipeline health, throughput, cost, and data quality metrics
• Drive technical design decisions and guide implementations from concept to production
• Mentor and elevate other engineers on the team through code reviews, pairing, and knowledge sharing
• Partner with product, platform, and data science teams to deliver high‑impact features on tight timelines
• Influence technical direction across the Contributory Network initiative and the broader Data Acquisition organization

• 5+ years of professional software engineering experience with a strong focus on data engineering
• Proven track record of building and operating production data pipelines at scale
• Deep experience with Python and/or Java
• Hands‑on expertise with data processing technologies:
  Apache Beam, Apache Airflow, Spark, Google Dataflow, or Data Proc
• Strong experience with streaming systems (Apache Kafka, Google Pub/Sub, or similar)
• Experience with cloud platforms, preferably GCP (Big Query, GKE, Dataflow)
• Solid understanding of data modeling, schema evolution, and data quality management
• Experience designing and operating large‑scale ETL/ELT pipelines processing terabytes of data

• Demonstrated ability to drive complex technical initiatives end to end— from scoping through delivery
• Track record of operating with high autonomy and a bias toward action
• Ability to push through ambiguity, make pragmatic decisions under uncertainty, and unblock progress
• Experience influencing technical direction within a team or across teams
• Strong code review and technical mentorship skills
• Proven ability to balance quality with velocity—you ship, iterate, and improve

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Exceptional interpersonal skills with a proven ability to build productive cross‑departmental relationships
• Strong communicator who can explain complex systems to diverse audiences
• Entrepreneurial mindset—comfortable pioneering new capabilities and wearing multiple hats

• Experience with Kubernetes (GKE/EKS) for running distributed workloads
• Familia…