Job Description
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
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.
