Staff Software Engineer, Data Infrastructure

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Written by AI from the job title and company, not by Included Health, so some details may not match this job. The employer's own page has the real description.

Overview

The Staff Software Engineer, Data Infrastructure at Included Health will play a pivotal role in designing and implementing robust data infrastructure solutions that drive the company's data strategy. This position requires a deep understanding of data systems and the capability to architect solutions that enhance data accessibility and maintainability. The successful candidate will collaborate closely with cross-functional teams to optimize data flows, ensure data integrity, and establish best practices for data management, ultimately contributing to the enhancement of healthcare outcomes through data-driven insights.

Job Responsibilities

• Architect and develop scalable data infrastructure to support large-scale analytics and reporting.
• Design and implement data pipelines that facilitate efficient data integration from various sources.
• Collaborate with data scientists and analysts to understand data needs and translate them into technical requirements.
• Ensure data quality and reliability by establishing and enforcing data governance policies.
• Monitor and optimize performance of data systems to ensure high availability and low latency.
• Mentor and provide guidance to junior engineers, fostering a culture of innovation and continuous improvement.
• Document data architectures, processes, and workflows for future reference and compliance needs.
• Participate in code reviews and contribute to team best practices and constructive feedback sessions.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in software engineering, with a focus on data infrastructure.
• Strong proficiency in SQL and experience with databases such as PostgreSQL, MySQL, or similar.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of data warehousing concepts and ETL processes.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Technologies & Tools

This position will utilize a variety of technologies and tools to effectively manage data infrastructure. The candidate will work with relational databases, big data ecosystems, cloud computing platforms, data visualization tools, and ETL frameworks. Key technologies include SQL, PostgreSQL, Apache Spark, Amazon Web Services (AWS), and Python programming, as well as relevant tools for monitoring and optimizing data flows.

Ideal Candidates

The ideal candidate for this position is a proactive thinker with a passion for data and its potential to improve healthcare services. They are expected to demonstrate strong leadership qualities, with a collaborative mindset that thrives in fast-paced environments. The candidate should possess a continuous improvement attitude, aiming to refine processes and technologies while mentoring peers. Strong attention to detail and a commitment to excellence are essential in ensuring the quality and effectiveness of the data solutions provided.