• New York, New York
  • $180,000–$280,000 Per Year
  • Autofill and Review
30+ days ago

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

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.

Numbers & Facts

LocationNew York, New York
Salary$180,000–$280,000 Per Year

Skills

  • Amazon Web Services (AWS)unmatched
  • Apacheunmatched
  • Artificial Intelligence (AI)unmatched
  • Business-to-Business (B2B)unmatched
  • Cloud Computingunmatched
  • Cross-Functionalunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Data Visualizationunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Denials Managementunmatched
  • Financial Operationsunmatched
  • Fundingunmatched
  • GCP (Good Clinical Practices)unmatched
  • Healthcareunmatched
  • Healthcare Providersunmatched
  • Leading Edge Technologyunmatched
  • Machine Learningunmatched
  • Microsoft Windows Azureunmatched
  • Operational Improvementunmatched
  • Process Developmentunmatched
  • Process Improvementunmatched
  • Python Programming/Scripting Languageunmatched

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