Python Software Engineer, Data

Genzeon; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

A leading tech company based in the United States is looking for a skilled Python Software Engineer specializing in data and Apache Airflow. This remote role involves building and maintaining data pipelines to improve healthcare outcomes. Ideal candidates will possess strong software engineering experience, especially within healthcare. In addition to competitive compensation, the position offers a chance to make a significant impact in the healthcare sector.

Qualifications

• 5+ years of experience in software engineering with focus on data processing.
• Proven experience with Apache Airflow in a production environment.
• Experience working with healthcare data (e.g., EHR, claims data) and understanding of HIPAA.

Responsibilities

• Build and maintain scalable data pipelines using Apache Airflow.
• Integrate various data sources for analytics and reporting.
• Ensure data accuracy, consistency, and compliance with healthcare regulations.

Skills

Python

Apache Airflow

SQL

MongoDB

Postgres

Data Engineering

Cloud platforms (AWS, Azure, GCP)

Problem-solving

Communication

Education

Bachelor’s or master’s degree in computer science, Data Engineering, or related field

Tools

Apache Airflow

Relational databases

Orchestration frameworks (Airflow, Prefect, Dagster)

Cloud platforms (AWS, Azure, GCP)

Job description

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Senior Talent Acquisition Professional | IT Services - Healthcare | Semicon | Embedded| Automotive|

Genzeon has an exciting opening for Python Software Engineer, Data (Healthcare with Apache Airflow) to join our dynamic team.

Python Software Engineer, Data (Healthcare with Apache Airflow)

Remote

Note: Must be an expert on MongoDB or Postgres”

Job Description:

We are seeking a skilled and motivated Python Software Engineer with expertise in Apache Airflow to join our healthcare team. The ideal candidate will have a strong background in software engineering, a passion for improving healthcare outcomes through data, and experience working in a healthcare environment. You will play a critical role in building, maintaining, and optimizing our data pipeline to ensure the availability, reliability, and efficiency of our data infrastructure.

Key Responsibilities:

Design and Develop Data Pipelines: Build and maintain scalable, reliable, and efficient data pipelines using Apache Airflow to automate data processing tasks.

Data Integration: Integrate various data sources, including electronic health records (EHR), claims data, and other healthcare-related datasets, to provide a unified view for analytics and reporting.

Data Management: Ensure data accuracy, consistency, and completeness by implementing robust data quality checks and monitoring processes.

Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical requirements.

Optimization: Continuously improve the performance of the data pipelines by identifying bottlenecks and implementing optimizations.

Documentation: Create and maintain comprehensive documentation of the data pipelines, workflows, and architecture to ensure transparency and ease of maintenance.

Compliance: Ensure all data handling processes comply with healthcare regulations such as HIPAA and data privacy standards.

Support and Troubleshooting: Provide ongoing support and troubleshooting for data pipelines, including responding to issues and ensuring timely resolution.

Qualifications:

Education: Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.

Experience:

5+ years of experience in software engineering, with a focus in data processing and designing and implementing ETL processes.

Proven experience with Apache Airflow in a production environment.

Experience working with healthcare data (e.g., EHR, claims data) and understanding of healthcare regulations like HIPAA.

Technical Skills:

Fluency in Python, including automated testing.

Proficiency in SQL and experience with relational databases.

Experience with one or more orchestration frameworks (Airflow, Prefect, Dagster, or similar)

Experience with cloud platforms (e.g., AWS, Azure, GCP).

Soft Skills:

Strong problem-solving skills and attention to detail.

Excellent communication and collaboration skills.

Ability to work independently and manage multiple tasks in a fast-paced environment.

Preferred Qualifications:

Experience with additional data orchestration tools.

Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.

Familiarity with data governance and data security best practices.

Knowledge of healthcare data standards like HL7 or FHIR.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Consulting, Information Technology, and Health Care Provider

• Industries

  Health and Human Services, Hospitals and Health Care, and IT Services and IT Consulting

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