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Data Engineer

$180k - $280k

Recruiting from Scratch

Data Engineer

Title of Role: Data Engineer

Location: New York, hybrid

Company Stage of Funding: Venture-Backed — Healthcare, Fintech, AI, B2B

Office Type: Hybrid

Salary: $180K–$280K

Company Description

We're representing a forward-thinking company that is automating financial operations for healthcare providers. Their innovative approach focuses on managing denials and unpaid claims, leveraging cutting-edge technology to streamline processes and improve efficiency in the healthcare sector.

What You Will Do
  • Design and implement data pipelines to automate the processing of financial operations.
  • Utilize Python and Airflow to develop robust ETL processes for handling large datasets.
  • Collaborate with cross-functional teams to identify data requirements and ensure data quality.
  • Monitor and optimize data workflows to enhance performance and reliability.
  • Analyze and visualize data to provide actionable insights for operational improvements.
Ideal Candidate Background
  • 3+ years of experience in data engineering or related fields.
  • Proficiency in Python for data manipulation and analysis.
  • Experience with Apache Airflow for workflow management and orchestration.
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Preferred
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience in the healthcare or fintech industries.
  • Knowledge of machine learning concepts and data analytics tools.
Compensation and Benefits

The base salary for this role ranges from $180K to $280K, offering a competitive compensation package along with comprehensive benefits to support your professional growth and well-being.

Vacancy posted 4 days ago
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