ZoomInfo Technologies logo
ZoomInfo Technologies

If you’re driven, results-oriented, and ready to make an impact in the enterprise sales space, ZoomInfo is the place for you. Join us, and be part of our exciting journey! The US hourly rate for this position is $31.25 per hour + variable compensation + benefits. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here .

Senior Data Engineer

Location

Worldwide

Posted

53 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Engineer

ZoomInfo Technologies

Role Description The Senior Data Engineer is the technical anchor for the Strategic Partnerships team's data platform. They own the design and evolution of ETL pipelines, semantic models, and the underlying data infrastructure that powers cross-functional initiatives with Marketing, Finance, Sales, Legal, HR, and Product. This role requires someone who can move between domains quickly — ingesting unfamiliar data, modeling it correctly the first time, and shipping pipelines that stakeholders can rely on without hand-holding. This is not a pure pipeline-building role. The Senior Data Engineer sets the standards the rest of the team follows: - Modeling data in dbt - Orchestrating in Airflow - Choosing between Fivetran vs. a custom DAG - Handling PII across business units - Keeping infrastructure reproducible via Terraform They partner directly with senior stakeholders across business units, translating ambiguous asks into durable data products, and mentor the rest of the team on technical execution. Qualifications - 6+ years of professional experience as a Data Engineer, with demonstrated ownership of production pipelines at scale - Expert-level SQL and Python; comfortable optimizing complex queries, profiling pipeline performance, and writing production-grade code - Deep experience with a cloud data warehouse (Snowflake strongly preferred; BigQuery or equivalent acceptable) - Strong dbt experience — has designed semantic layers, established modeling conventions, and led dbt adoption or maturation on a team - Hands-on experience with orchestration tools — Airflow, Fivetran required; Dagster or equivalent a plus - Experience with Databricks and Spark for custom modeling and transformation workloads - Experience with AWS (Airflow, S3, Lambda) and GCP (BigQuery and adjacent services); comfortable operating across both clouds - Demonstrated ability to influence architectural decisions and set standards that other engineers follow - Strong stakeholder management — can run scoping conversations with senior non-technical partners and translate business needs into technical specs - Security-first mindset; experience with PII handling, access controls, and data governance in regulated environments (SOX, GDPR, or similar) - Has built something end-to-end before specializing — values broad competence paired with depth Requirements - Production experience with at least one streaming technology (Kafka preferred) - Experience designing semantic layers - Experience with CI/CD for data pipelines Benefits - Competitive salary - Remote work flexibility - Comprehensive health benefits - Professional development opportunities

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