Senior Data Engineer Role

New

Skills

Apache Airflow Cloud Data Warehouses Data Engineering Data Pipeline Orchestration Data Quality Governance Healthcare Data Standards Java Python Scala SQL

As a Senior Data Engineer, you will lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders. You will architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.

Key Responsibilities
  • Lead optimization and scalability of data delivery pipelines.
  • Architect, build, and maintain data pipelines and infrastructure.
  • Collaborate with data architects, data scientists, and analysts.
  • Establish best practices for data quality, governance, and security.
  • Drive continuous improvement in data engineering processes.
  • Mentor junior engineers and influence broader data platform strategy.
Required Skills & Qualifications
  • 6+ years of professional experience in data engineering.
  • Expertise in modern cloud data warehouses (Snowflake, Redshift, BigQuery).
  • Advanced SQL skills with relational and columnar databases.
  • Experience with data pipeline/workflow orchestration tools.
  • Solid programming background in Python, Scala, or Java.
  • Proficiency in backend development technologies (TypeScript, Node.js).
  • Strong analytical and problem-solving skills.
  • Familiarity with healthcare data standards (FHIR, HL7) is a plus.
  • Bachelor’s degree in a relevant field; Master’s preferred.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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