2 months ago
Base Salary
$140k - $220k/yr
Responsibilities
- Design, build, and operate large-scale data acquisition pipelines for ingesting, validating, transforming, enriching, deduplicating, and storing high-volume raw data.
- Architect ETL/ELT workflows supporting batch, streaming, scheduled, and event-driven processing.
- Develop production Java services and data processing applications for ingestion, orchestration, enrichment, deduplication, and delivery.
- Build and improve systems using Apache Airflow, Apache Beam, Spark, Google Dataflow, DataProc, Kafka, and Pub/Sub.
- Define approaches for schema evolution, data contracts, validation, backfills, replayability, and idempotent processing.
- Improve pipeline reliability, performance, scalability, resource utilization, and cost efficiency.
- Implement monitoring, alerting, logging, and observability for pipeline health, throughput, latency, failures, and data quality.
- Collaborate with product, data science, platform, and data quality teams to translate requirements into production systems.
- Contribute to technical designs, implementation plans, and modernization efforts across Data Acquisition.
Requirements
- 5+ years of professional software engineering experience focused 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 experience with Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc.
- Strong experience with streaming systems such as Apache Kafka or Google Pub/Sub.
- Understanding of batch and streaming processing, data modeling, schema evolution, and data quality management.
- Experience designing ETL/ELT workflows for large volumes of structured and semi-structured data.
- Experience designing high-throughput, fault-tolerant backend services and distributed systems.
- Understanding of APIs, integration patterns, retries, backpressure, idempotency, and operational failure modes.
- Experience with large-scale storage and query technologies such as BigQuery, Snowflake, or Trino.
- Experience with at least one cloud provider, preferably GCP.
- Hands-on experience with BigQuery, GCS, GKE, Dataflow, DataProc, and Pub/Sub.
- Experience operating production services with monitoring, logging, alerting, SLIs, and incident investigation.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Ability to translate business and data requirements into technical designs and implementation plans.
- Experience with Kubernetes, especially GKE or EKS, is preferred.
- Experience with Terraform or other infrastructure-as-code tools is preferred.
- Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines is preferred.
- Knowledge of CRM systems, email/calendar APIs, third-party feeds, change data capture, or external data providers is preferred.
- Experience in a B2B data company, data marketplace, or data-as-a-product environment is preferred.
- Expert-level experience with Apache Spark or another distributed processing framework is preferred.
Benefits
- Hybrid work arrangement is indicated by the #LI-Hybrid designation.
- Comprehensive employee benefits are offered.
- Holistic mind, body, and lifestyle programs support employee well-being.
- Additional compensation such as bonus, commission, and equity may apply, separate from base salary.
Tech Stack
Apache AirflowApache BeamApache KafkaApache SparkGoogle BigQueryGoogle CloudGoogle Cloud PlatformJavaKubernetesSnowflakeTerraform
Categories
BackendData Engineering
About ZoomInfo
ZoomInfo builds a subscription go-to-market platform for B2B sales and marketing teams, combining company and contact data, intent signals, and sales engagement tools. Its products help organizations find prospects, align GTM motions, and automate outreach, and are used by more than 35,000 companies. The public company (NASDAQ: GTM; also traded in Frankfurt) is headquartered in Vancouver, Washington, and grew out of DiscoverOrg’s acquisition of ZoomInfo.