Senior Data Engineer - Remote Cloud Data Pipelines

Care Access

Oregon

Ibrido

USD 120.000 - 160.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Paid Time Off (PTO)
Company Paid Holidays
100% Employer paid medical, dental, &?
Health Savings Account
Flexible Spending Accounts
Bi-weekly HSA employer contribution
Short-Term Disability
Long-Term Disability
401(k) Retirement Plan with Company M

Descrizione del lavoro

Care Access is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and enterprise data solutions that support operational, analytical, and reporting needs. You will oversee ingestion, transformation, integration, and delivery of data from multiple sources to ensure data availability and quality across the organization.

Collaborate with analysts, data scientists, and engineers to develop modern data architectures, optimize processing workflows, and drive

Competenze

  • 5+ years of data engineering experience with cloud-based pipelines.
  • Strong Databricks, SQL, dbt, Python, and Azure expertise.
  • Experience with structured and semi-structured data.

Mansioni

  • Design and implement scalable data pipelines for clinical, operational, and business needs.
  • Develop architecture standards and reusable data engineering frameworks.
  • Build automated data ingestion, transformation, and orchestration using cloud tools.
  • Collaborate with analysts, data scientists, and engineers to meet data requirements.
  • Mentor junior engineers and work with contractors to extend capacity.

Conoscenze

Cloud data engineering
Databricks
DBT
Python
SQL
Azure
CI/CD
Data pipelines

Formazione

Bachelor’s or Master’s in CS/IS/Engineering

Strumenti

Databricks
Azure Data Factory
SQL

Descrizione del lavoro

Care Access is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and enterprise data solutions that support operational, analytical, and reporting needs. You will oversee ingestion, transformation, integration, and delivery of data from multiple sources to ensure data availability and quality across the organization.

Collaborate with analysts, data scientists, and engineers to develop modern data architectures, optimize processing workflows, and drive

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