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.