Data Engineer

About the role

Sustainably, we are pioneers in healthcare, aiming to provide innovative solutions that improve care for everyone. Our team is diverse and inclusive, fostering an environment where every member's unique contributions are valued.

Responsibilities

• Design, develop, and maintain data pipelines and analytics solutions supporting oncology operational insights and reporting.
• Monitor, troubleshoot, and optimize cloud-based data platforms to ensure reliability, performance, and data integrity.
• Investigate technical issues, perform root cause analysis, and collaborate with cross-functional teams to deliver timely resolutions.
• Contribute to automation initiatives and process improvements that enhance scalability, efficiency, and operational excellence.
• Work closely with Product Managers, Data Engineers, Analytics teams, and customer-facing teams to translate business requirements into actionable data solutions.
• Be customer-facing to address problems and identify solutions.
• Validate deployments, system changes, and upgrades to ensure stable and reliable operations.

Requirements

• Experience: 0–2 years of experience in software engineering, data engineering, analytics, or technical support.
• Skills: Programming experience with Java and/or Python, SQL, relational databases, and cloud technologies.
• Education: Bachelor's degree or higher in Computer Science or a related field.
• Knowledge: Knowledge of software development fundamentals and data engineering concepts, experience with SQL and relational databases, exposure to data warehousing technologies, familiarity with cloud platforms and modern observability tools, understanding of ETL processes, data quality, and scalable data architectures, strong analytical and problem-solving skills with attention to detail, effective communication and collaboration skills with the ability to work across technical and non-technical teams, exposure to AI-assisted development tools such as GitHub Copilot and modern development techniques such as vibe coding, spec driven development to support software development, data analysis, and automation initiatives, domain knowledge in healthcare and oncology data is desirable.

Qualifications

• Experience: 0–2 years of experience in software engineering, data engineering, analytics, or technical support.
• Skills: Programming experience with Java and/or Python, SQL, relational databases, and cloud technologies.
• Education: Bachelor's degree or higher in Computer Science or a related field.
• Knowledge: Knowledge of software development fundamentals and data engineering concepts, experience with SQL and relational databases, exposure to data warehousing technologies, familiarity with cloud platforms and modern observability tools, understanding of ETL processes, data quality, and scalable data architectures, strong analytical and problem-solving skills with attention to detail, effective communication and collaboration skills with the ability to work across technical and non-technical teams, exposure to AI-assisted development tools such as GitHub Copilot and modern development techniques such as vibe coding, spec driven development to support software development, data analysis, and automation initiatives, domain knowledge in healthcare and oncology data is desirable.

Skills

• Programming experience with Java and/or Python, SQL, relational databases, and cloud technologies.
• Familiarity with cloud platforms and modern observability tools for monitoring and troubleshooting distributed systems.
• Exposure to data visualization and reporting tools such as Power BI or Tableau.
• Understanding of ETL processes, data quality, and scalable data architectures.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication and collaboration skills with the ability to work across technical and non-technical teams.
• Exposure to AI-assisted development tools such as GitHub Copilot and modern development techniques such as vibe coding, spec driven development to support software development, data analysis, and automation initiatives.
• Domain knowledge in healthcare and oncology data is desirable.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) retirement plan
• Life insurance
• Long-term and short-term disability insurance
• Paid parking/public transportation
• Paid time off
• Paid sick and safe time

Pay

The Base Pay Range For This Position Is $72,860 - $100,188. Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Schedule

Not specified.