Remote GCP Data Engineer - Java focused

Job Description

In this role, you will build and enhance GCP data pipelines that support a healthcare client’s clinical delivery initiatives, ensuring data is timely, accurate, and fit for downstream analytics and operational needs. You’ll primarily develop Dataflow (Apache Beam) pipelines in Java, implementing transformations, enrichment logic, validation checks, and fault-tolerant handling for both batch and streaming workloads. You will orchestrate end-to-end workflows using Cloud Composer (Airflow), creating DAGs, scheduling dependencies, and managing retries, alerting, and backfills when needed.

A typical day includes collaborating with clinical and technical stakeholders to clarify requirements, translate them into pipeline designs, and align on data definitions and acceptance criteria. You’ll monitor pipeline health, investigate failures or performance bottlenecks, and apply optimizations to improve throughput, cost efficiency, and reliability. You will also contribute to Dev Ops practices—version control, code reviews, automated testing, CI/CD deployments, and environment promotion—while keeping documentation and runbooks current.

Throughout, you’ll operate with a strong quality and compliance mindset, helping ensure data handling aligns with healthcare governance expectations and supports dependable clinical delivery outcomes.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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3–6 years of hands-on Google Cloud Platform (GCP) experience, with deep, production-level work in Cloud Dataflow (Apache Beam) and Cloud Composer (managed Apache Airflow) to build and orchestrate data pipelines.

Strong Java scripting/programming experience is required (e.g., building Dataflow/Beam pipelines, developing reusable pipeline components, writing robust transformations, and supporting CI/CD for Java-based services).

Demonstrated ability to design and maintain reliable ETL/ELT workflows (batch and/or streaming), including schema management, data validation, error handling, observability, and performance tuning.

Familiarity with adjacent GCP services and best practices (e.g., IAM, networking basics, monitoring/logging, secret management, and integration patterns with Big Query/Cloud Storage/Pub/Sub/Dataproc as applicable), plus strong documentation and cross-team communication skills. Experience supporting healthcare data use cases—comfort working with sensitive clinical data, aligning to data governance practices, and collaborating with stakeholders supporting clinical delivery initiatives (e.g., quality measures, clinical operations reporting, care management analytics)