The Data Engineer Role at RemoteFalls Church is an offer 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 of the Data Engineer
– 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.
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– 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.
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– 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