Python Software Engineer, Data

Genzeon; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

A leading company in healthcare technology is seeking a Python Software Engineer to join their team. The ideal candidate will have extensive experience with Apache Airflow, a strong software engineering background, and a passion for enhancing healthcare outcomes through data. This full-time role involves designing and maintaining data pipelines, collaborating with data scientists, and ensuring compliance with healthcare regulations. If you're looking to make a significant impact in the healthcare sector, this role could be your next challenge.

Qualifications

• 5+ years experience in software engineering focusing on data processing.
• Proven experience with Apache Airflow in production.
• Experience working with healthcare data and understanding regulations like HIPAA.

Responsibilities

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

Skills

Fluency in Python

Problem-solving skills

Attention to detail

Excellent communication skills

Collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Apache Airflow

SQL

Cloud platforms

Job description

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Job Title: Python Software Engineer, Data (Healthcare with Apache Airflow)

Remote

Full time(Must have 10+ Years of experience)

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

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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