Data Engineer

### Job Title: Consultant Data Engineer ### Location: Remote ### Job Summary: We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing up our new GCP platform, working with data engineer. ### Duties/Responsibilities: * Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability * Implement frameworks, tooling, and automation to safely increase development velocity * Develop data pipelines, optimize pipelines, SQL or other data workflows from (1) source ingestion and preparation, (2) training and tuning and (3) downstream systems integration (EHR modules, micro-services, dashboards) ### Required Skills: * Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling * Knowledge of dbt, PySpark, Glue , Terraform to support current infrastructure on AWS * Great to have experience setting up GCP infra : Iceberg, Dataplex, Terraform to help with initial steps of GCP migration project. * A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn. ### Education & Experience * Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field * 5+ years of experience in data engineering, platform engineering, or ML engineering * Experience working with major cloud data platforms and tools: * Preferred experience: * Healthcare, behavioral health, EHR systems, and/or regulated industries * Specific expertise with: AWS/GCP, dbt, Airflow, Airbyte, Redshift/BigQuery Originally posted on [Himalayas](https://himalayas.app)