Job Description
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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 is responsible for designing, building, and maintaining scalable data systems that support our various healthcare applications. This role entails collaborating with cross-functional teams to understand data requirements, develop robust ETL processes, and ensure the integrity and availability of our data resources. As a pivotal member of the engineering team, you will leverage your expertise to enhance our data architecture, optimize performance, and drive data-driven decision-making throughout the organization.
Job Responsibilities
- Design and implement data models and data storage solutions to support business needs.
- Develop ETL pipelines to collect, transform, and load data from various sources into the data warehouse.
- Collaborate with data analysts and data scientists to understand data requirements and deliver scalable solutions.
- Monitor and optimize performance of data systems and pipelines for reliability and efficiency.
- Ensure data governance practices are in place to maintain data integrity and security.
- Provide mentorship to junior engineers, fostering a culture of learning and best practices within the team.
- Document processes and workflows to enhance team knowledge and facilitate onboarding of new team members.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field; Master's degree preferred.
- A minimum of 5 years of experience in software engineering, with a focus on data infrastructure or related fields.
- Proficiency in programming languages such as Python, Java, or Scala.
- Extensive experience with database systems, including SQL and NoSQL technologies.
- Knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, BigQuery).
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Strong understanding of data modeling, ETL processes, and data pipeline architectures.
- Excellent problem-solving skills and attention to detail.
- Effective communication and collaboration skills in a team-oriented environment.
Technologies & Tools
This position involves working with a variety of technologies and tools including, but not limited to, Python, Apache Spark, AWS services (such as S3 and Lambda), SQL databases, NoSQL databases (like MongoDB and Cassandra), and data orchestration tools such as Airflow. Familiarity with data visualization tools like Tableau or Looker is a plus, as well as experience with CI/CD pipelines and Docker for application deployment.
Ideal Candidates
The ideal candidate for the Staff Software Engineer, Data Infrastructure role at Included Health should possess a strong analytical mindset and a passion for harnessing data to drive innovation. They should be proactive in seeking solutions, demonstrating a continuous improvement mindset, and thrive in a collaborative environment. Strong leadership qualities are essential, as the candidate will not only be a technical expert but also a mentor to less experienced engineers. A commitment to adhering to best practices in data governance, data privacy, and security regulations is crucial, as is a genuine interest in improving healthcare outcomes through technology.
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