Senior Data Engineer - Remote Role at Modern Health

About the Role

We are seeking a Senior Data Engineer to join our team at Modern Health. This Senior Data Engineer remote position will play a critical role in designing, developing, and maintaining our data infrastructure. You will have the opportunity to work with cutting-edge technologies and contribute to a platform that enhances mental health benefits for employees globally.

What You'll Do

• Design, build, and maintain scalable data pipelines and ETL processes to enable reliable data integration and analytics.
• Architect and implement robust data storage solutions, including data warehouses, data lakes, and databases.
• Partner closely with AI engineers, data analysts, and other cross-functional stakeholders to understand data requirements and deliver solutions that meet business needs.
• Optimize and tune data systems to ensure high performance, reliability, and scalability.
• Ensure data quality, accuracy, and integrity through rigorous testing, validation, and monitoring.
• Establish, document, and enforce data governance standards and best practices.
• Stay current on emerging data technologies and industry trends, evaluating their applicability to our data platform.
• Troubleshoot and resolve data-related issues efficiently to minimize disruption and maintain trust in our data systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Mathematics, or a related field.
• 3+ years of experience in data engineering within a modern technology stack, software engineering with data warehousing experience, or data science with data infrastructure experience.
• Deep expertise in functional programming languages such as Python, Go, or Scala.
• Strong experience working with big data technologies and distributed systems.
• Proficiency in SQL, with experience across relational databases (e.g., PostgreSQL, MySQL).
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data warehousing solutions like Redshift, BigQuery, or Snowflake.
• Knowledge of data modeling, data architecture, and data governance principles.
• Excellent problem-solving skills with strong attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively across teams.

Nice to Have

• Experience with data visualization tools like Looker.
• Familiarity with ETL tools such as Fivetran and DBT.
• Knowledge of data orchestration tools like Prefect.

What We Offer

• Comprehensive medical, dental, and vision insurance.
• Flexible Time Off and company-wide Collective Pause Days.
• Parental Leave Policy and Family Support benefits.
• Professional Development Stipend.
• Annual Wellness Stipend for well-being items.
• New Hire Stipend for work-from-home setup costs.
• Monthly Cell Phone Reimbursement.
• Equity program for full-time employees.