Senior Data Engineer

About the Role We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will work cross-functionally with analytics, engineering, and business teams to ensure reliable, high-quality data flows that power decision-making across the organization. Responsibilities • Design, develop, and maintain robust ELT/ETL pipelines using dbt and Apache Airflow for orchestration • Build and optimize data workflows using Google Cloud Dataflow for large-scale stream and batch processing • Manage and optimize Amazon Redshift data warehouse, including schema design, query performance tuning, and cluster maintenance • Collaborate with data analysts and scientists to model data in a way that supports self-service analytics and reporting • Implement and enforce data quality checks, monitoring, and alerting across pipelines • Develop and maintain dbt models, tests, and documentation to ensure data consistency and lineage transparency • Partner with platform and DevOps teams on infrastructure-as-code, CI/CD pipelines, and deployment of data assets • Contribute to the development of data engineering best practices, standards, and reusable frameworks Requirements • 5+ years of experience in a data engineering role • Strong proficiency with Amazon Redshift — schema design, query optimization, distribution/sort keys, and workload management • Hands-on experience with dbt (Core or Cloud) — building models, writing tests, managing sources, and maintaining documentation • Experience orchestrating workflows with Apache Airflow (Cloud Composer or self-managed), including DAG development, scheduling, and dependency management • Experience building pipelines with Google Cloud Dataflow (Apache Beam), including both batch and streaming use cases • Proficiency in SQL and Python • Familiarity with data modeling concepts (star schema, Kimball, data vault) • Experience with version control (Git) and collaborative development workflows Nice to Have • Experience with Google Cloud Platform (BigQuery, GCS, Pub/Sub) • Familiarity with Terraform or other infrastructure-as-code tools • Knowledge of data observability tools (Monte Carlo, Great Expectations, etc.) • Experience in a healthcare or regulated data environment • Exposure to streaming architectures (Kafka, Pub/Sub) What We're Looking For A self-sufficient engineer who takes ownership end-to-end — from pipeline design through production monitoring — and communicates clearly with both technical and non-technical stakeholders.