About the company
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life.
About the role
We're looking for a Senior Software Engineer to join the Data Acquisition team — one of ZoomInfo's most strategically important engineering areas. You will design, build, and operate the backend systems and data pipelines that acquire, transform, validate, and store large raw data sets from a wide range of sources.
Responsibilities
- Design, build, and operate large-scale data acquisition pipelines that ingest, validate, transform, enrich, and store high-volume raw data.
- Architect resilient ETL/ELT workflows for batch, streaming, scheduled, and event-driven data processing.
- Develop production Java services and data processing applications for ingestion, orchestration, enrichment, deduplication, and delivery.
- Build and improve systems using technologies such as Apache Airflow, Apache Beam, Spark, Google Dataflow, DataProc, Kafka, and Pub/Sub.
- Define practical approaches for schema evolution, data contracts, data validation, backfills, replayability, and idempotent processing.
- Improve reliability, performance, scalability, and cost efficiency across data acquisition pipelines and services.
- Implement observability, monitoring, and alerting for pipeline health, throughput, latency, failure rates, and data quality metrics.
- Work with product, data science, platform, and data quality teams to translate business needs into production-ready systems.
- Contribute to technical designs, implementation plans, and system modernization efforts across Data Acquisition.
Requirements
- 5+ years of professional software engineering experience with a strong focus on backend systems, data engineering, or distributed processing.
- Proven experience building and operating production data pipelines at scale.
- Deep proficiency with Java and object-oriented design.
- Hands-on expertise with data processing and orchestration technologies such as Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc.
- Strong experience with streaming systems such as Apache Kafka, Google Pub/Sub, or similar technologies.
- Strong understanding of batch processing, streaming processing, data modeling, schema evolution, and data quality management.
- Experience designing ETL/ELT workflows that process large volumes of structured and semi-structured data.
- Experience designing high-throughput, fault-tolerant backend services and distributed systems.
- Strong understanding of APIs, integration patterns, retries, backpressure, idempotency, and operational failure modes.
- Experience with large-scale storage and query technologies such as BigQuery, Snowflake, Trino, or similar systems.
- Experience with at least one cloud provider, preferably GCP.
- Hands-on experience with cloud services such as BigQuery, GCS, GKE, Dataflow, DataProc, and Pub/Sub.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
Conditions
- Nice to have: Experience with Kubernetes (GKE or EKS), Terraform, Snowflake, BigQuery, Starburst/Trino, data integration patterns, B2B data company experience, expert-level Apache Spark.
- US base salary: $140,000 – $220,000 USD. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.