Software Engineer III - Analytical Data
Bethesda · Vancouver · Waltham · USD 112,000-176,000 · 3+ years experience · Full-time · Hybrid · Posted Oct 19, 2026
At a glance
- Experience
- 3+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Bethesda · Vancouver · Waltham
- Salary
- USD 112,000-176,000 · OTE
About ZoomInfo
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
- ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
- ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
- For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
About the role
- We're looking for a Software Engineer III to join the Analytical Data team - the team that builds and runs the lakehouse for ZoomInfo's Data organization.
- This is a hands-on data engineering role where you will work across streaming and batch ingestion, Iceberg table management, multi-engine access, data contracts, and observability.
Responsibilities
- Build and run Kotlin and Apache Beam pipelines on Google Cloud Dataflow that load data from Kafka and cloud storage into Apache Iceberg tables.
- Keep large Iceberg tables correct, fast, and cost-efficient with good partitioning, Spark maintenance jobs, and reconciliation against the source.
- Make each dataset queryable from BigQuery, Snowflake, and Starburst/Trino through Iceberg catalogs and stable consumer views.
- Work with producer teams on schemas and data contracts, and keep publishing a new dataset simple and documented.
- Build the observability that shows each dataset is fresh, complete, and within budget.
- Own your pipelines in production, from incident response to the fix that keeps the problem from coming back.
- Ship through code review, CI/CD, staged releases, and unit, integration, and end-to-end tests, with infrastructure managed in Terraform across GCP and AWS.
- Work daily with data consumers, producer teams, and platform teams, and help shape the platform's technical roadmap.
Requirements
- 3+ years of professional software engineering experience, with a focus on data engineering or distributed systems.
- Strong programming skills in Kotlin, Java, or Python.
- Hands-on experience with Apache Beam or Apache Spark.
- Experience with Apache Kafka or a similar streaming platform in production pipelines.
- Experience with very large datasets and distributed systems, including designing data models and storage layouts that handle large volumes efficiently.
- Understanding of lakehouse architecture and open table formats, ideally Apache Iceberg.
- Strong SQL and working knowledge of at least one of BigQuery, Snowflake, or Starburst/Trino.
- Experience with Protobuf or Avro schemas and evolving them without breaking downstream consumers.
- Experience with GCP or AWS.
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Preferred qualifications
- Production experience with Apache Iceberg: table maintenance, partition and schema evolution, and Iceberg catalogs such as BigLake metastore, AWS Glue, or Project Nessie.
- Experience with metadata catalogs and data governance tooling such as OpenMetadata.
- Experience building AI agents that watch pipelines, triage alerts, or investigate data issues.
- Experience serving the same data to several query engines, or running data infrastructure across GCP and AWS.
- Experience negotiating data contracts between producer and consumer teams.
- Experience contributing to technical strategy or a roadmap for data processing infrastructure.
- Experience with Terraform, Apache Airflow, or dbt.
Benefits
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
- Bonus
- Commission
- Equity
Workplace
- Hybrid workplace
Skills
- Kotlin
- Java
- Python
- Apache Beam
- Google Cloud Dataflow
- Apache Spark
- Apache Kafka
- Apache Iceberg
- BigQuery
- Snowflake
- Starburst/Trino
- Protobuf
Show all 15 skills
- Avro
- Terraform
- Datadog
