À propos
$150,000 - $175,000 BASE SALARY + BENEFITS
REMOTE (United States Based)
COMPANY OVERVIEW
A forward-thinking analytics company focused on leveraging data to drive better outcomes for underserved populations. Their platform helps organizations identify inefficiencies, streamline processes, and enhance the quality of services through advanced data-driven insights.
THE ROLE
As a Senior Data Engineer, you will design and automate scalable data pipelines, ensuring data integrity and efficiency in processing large-scale datasets. This role is ideal for someone passionate about building end-to-end solutions that go beyond moving data to creating systems that streamline and transform analytics.
ROLE RESPONSIBILITIES Develop and optimize ETL pipelines using
Python ,
SQL , and
Airflow
for automation and batch processing. Leverage
Linux environments
to implement scalable and efficient data workflows. Collaborate with cross-functional teams to document processes using
Confluence
and ensure streamlined communication. Build and enhance data models to support reporting, monitoring, and advanced analytics. Drive innovation in orchestration and automation, standardizing processes for future scalability. SKILLS & EXPERIENCE
6+ years of experience in data engineering, including 3+ years focused on
Python ,
SQL , and
Airflow . Strong expertise in ETL design and automation for large-scale data environments. Proficiency in Linux-based systems and experience optimizing workflows in on-premise infrastructures. Familiarity with documentation tools like
Confluence
and collaboration in agile teams. Healthcare or B2B experience is a plus, with a preference for candidates who have worked on large, complex datasets. BENEFITS
Competitive salary: $150,000 - $175,000 Base Salary + Benefits Flexible work environment with occasional travel.
If you're eager to make an impact by building scalable, transformative data systems, we'd love to hear from you!
Compétences linguistiques
- English
Avis aux utilisateurs
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