Data Engineer

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.