Jobs / United States / Zoominfo Technologies LLC
Software Engineer III - 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. We're looking for a Software Engineer III to join the Data Acquisition team - one of ZoomInfo's most strategically important engineering areas. In this role, you will help build the systems that acquire, transform, validate, and store large raw data sets from a wide range of sources. You will work on backend services, batch and streaming pipelines, workflow orchestration, and the next generation of large-scale data acquisition technologies. This position is focused on backend and data engineering. It requires strong hands-on experience with data pipelines, distributed processing, Java, cloud infrastructure, and production-quality engineering practices. What You'll do: • Design and build backend data pipelines that ingest, validate, normalize, enrich, and store high-volume raw data from multiple sources. • Develop ETL/ELT workflows and processing jobs using technologies such as Apache Airflow, Apache Beam, Google Dataflow, DataProc, Spark, Kafka, or Pub/Sub. • Implement new features in Java-based services and data processing applications that support data acquisition at scale. • Work with batch and streaming architectures for scheduled, near-real-time, and event-driven data flows. • Improve data quality through schema validation, deduplication, enrichment, monitoring, retries, and controlled backfills. • Contribute to observability for pipeline health, throughput, latency, cost, and error rates. • Collaborate with product managers, data teams, and platform teams to translate business requirements into reliable technical solutions. • Help design, plan, and execute the roadmap for next-generation data acquisition technologies. • Must-Have Qualifications • Data Engineering and Pipelines • 3+ years of professional software engineering experience. • Solid experience building and operating production data pipelines, ETL/ELT workflows, or data processing systems. • Strong proficiency with Java and object-oriented programming. • Hands-on experience with data processing and orchestration technologies such as Apache Beam, Apache Airflow, Spark, Google • Dataflow, or DataProc. • Experience with streaming technologies such as Kafka, Google Pub/Sub, or similar systems. • Understanding of batch processing, streaming processing, data modeling, schema design, and data quality practices. • Backend, Cloud, and Operations • Experience building backend services, APIs, or distributed systems that run in production. • Experience with at least one cloud provider, preferably GCP. • Familiarity with cloud data and compute services such as BigQuery, GCS, GKE, Dataflow, DataProc, and Pub/Sub. • Practical knowledge of SQL, large-scale storage/query systems, logging, monitoring, and alerting. • Ability to troubleshoot pipeline failures, data issues, performance bottlenecks, and operational incidents. General • Bachelor's degree in Computer Science, Software Engineering, or a related field. • Strong problem-solving skills and attention to detail. • Pragmatic engineering judgment with the ability to balance quality, speed, and business impact. Nice to Have • Experience with Kubernetes, especially GKE or EKS, for distributed workloads. • Experience with Snowflake, BigQuery, Starburst/Trino, or similar data warehouses and query engines. • Experience with Terraform or other infrastructure-as-code tools. • Exposure to data integration patterns involving CRM systems, email/calendar APIs, third-pa