Jobs / United States / Zoominfo Technologies LLC
Senior Software Engineer - Data Acquisition
Zoominfo Technologies LLC · 🇺🇸 Waltham, Massachusetts, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 24 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 27 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Zoominfo Technologies LLC paid sponsored hires in similar roles4 certified filings for “Data Engineer III” (Data Scientists) in MA: $128k–$139k, median $129k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Zoominfo Technologies LLC
The US Department of Labor certified 24 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 27 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Zoominfo Technologies LLC →
About the role
ZoomInfo 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. The Opportunity We're looking for a Senior Software Engineer to join the Data Acquisition team — one of ZoomInfo's most strategically important engineering areas. In this role, 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. You will work across distributed processing, workflow orchestration, streaming and batch data flows, and cloud infrastructure. This is a senior individual-contributor engineering role focused on technical depth, production execution, and high-quality data systems. The right candidate brings strong backend engineering fundamentals, significant pipeline experience, and the ability to turn complex data acquisition requirements into scalable systems. What You'll Do • 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. Must-Have Qualifications Data Engineering and Pipelines • 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. Backend and Distributed Systems • Experience designing high-throughput, fault-tolerant backend services and distributed systems. • Strong understanding of APIs, integration patterns, retries, backpressure, idempotency, and operational failure modes. • Ability to write clean, maintainable production code and evaluate tradeoffs in system design. • Experience with large-scale storage and query technologies such as BigQuery, Snowflake, Trino, or similar systems. Cloud and Operations • Experience with at least one cloud provider, preferably GCP. • Hands-on experience with cloud services such as BigQuery, GCS, GKE, Dataflow, Da