Software Engineer III

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-party feeds, or large external datasets.
• Experience in a B2B data company, data marketplace, or data-as-a-product environment.