Software Engineer (Data Acquisition Job Waltham Massachusetts USA,Software Development

Position: Software Engineer (Data Acquisition)

We’re looking for a Software Engineer III to join the Data Acquisition team - one of Zoom Info’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
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, Data Proc, 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

Benefits

Benefits for the Best You
- 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
Base Pay
- We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
Bonus
- When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
Equity
- We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
Vacation & Time Off
- We know everyone’s needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
Hybrid Working Model
- We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

Requirements

Familiarity with cloud data and compute services such as Big Query, GCS, GKE, Dataflow, Data Proc, and Pub/Sub
Practical knowledge of SQL, large-scale storage/query systems, logging, monitoring, and alerting
Strong proficiency with Java and object-oriented programming
Experience building backend services, APIs, or distributed systems that run in production
Strong problem-solving skills and attention to detail
Experience with at least one cloud provider, preferably GCP
Ability to troubleshoot pipeline failures, data issues, performance bottlenecks, and operational incidents
Pragmatic engineering judgment with the ability to balance quality, speed, and business impact
Understanding of batch processing, streaming processing, data modeling, schema design, and data quality practices
Bachelor’s degree in Computer Science, Software Engineering, or a related field
Solid experience building and operating production data pipelines, ETL/ELT workflows, or data processing systems
Experience with streaming technologies such as Kafka, Google Pub/Sub, or similar systems
3+ years of professional software engineering experience
Experience with Kubernetes, especially GKE or EKS, for distributed workloads
Exposure to data integration patterns involving CRM systems, email/calendar APIs, third-party feeds, or large external datasets
Experience in a B2B data company, data marketplace, or data-as-a-product environment
Hands-on experience with data processing and orchestration technologies such as Apache Beam, Apache Airflow, Spark, Google Dataflow, or Data Proc
Data Engineering and Pipelines:

Backend, Cloud, and Operations:
Experience with Terraform or other infrastructure-as-code tools
Experience with Snowflake, Big Query, Starburst/Trino, or similar data warehouses and query engines

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