Job Description

Overview
We are seeking an experienced and passionate Senior Data Engineer to help lead the development of a cutting-edge platform that will drive a transition to value-based care in the healthcare sector. This role is key to enabling efficient data sharing, analytics, and performance transparency, all critical to advancing value-based payment systems.

Key Responsibilities

- Take an active role in hands-on software development for a large-scale data project hosted in a cloud environment.
- Understand how your work aligns with broader organizational goals and adapt your efforts to ensure the systems you develop meet those objectives.
- Collaborate effectively across engineering teams to deliver scalable, adaptable solutions that are loosely coupled and efficient.
- Uphold high coding standards by conducting code reviews and modeling best practices in your own work.
- Help break down large team objectives into smaller, manageable tasks to ensure clarity and focus.
- Provide accurate estimates for EPICs and user stories to aid in project planning and execution.
- Contribute to agile sprint cycles, reinforcing disciplined practices and ensuring smooth project execution.
- Offer architectural guidance to support various projects within the team.
- Act as a mentor to junior and mid-level engineers, fostering growth and knowledge sharing.

Qualifications

- Proven expertise in one or more programming languages such as Scala, Python, SQL, Django, Java, or JavaScript.
- Experience working with cloud infrastructure (e.g., Amazon Web Services - EC2, EBS, RedShift, EMR, RDS, CloudFormation, etc.).
- Knowledge of big data processing frameworks such as Spark, MapReduce, or Hadoop.
- Familiarity with software version control systems (e.g., Git, Subversion).
- A collaborative mindset with experience in software development within a team environment.
- Familiarity with Agile development practices and experience working in Agile teams.

Additional Skills (Preferred but not required)

- Knowledge of data architecture best practices and performance optimization.
- Experience with data integration, ETL processes, and managing large datasets.
- Strong problem-solving skills and a passion for continuous learning.
Employment Type: Full-Time
Salary: $ 40,000.00 140,000.00 Per Year

Job Tags

Full time, Remote job,

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