Remote Data Engineer

Description:

• InStride Health is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines, ensuring quality and reliability.
• The role involves contributing to data warehouse architecture and implementation, including schema design, ETL, and optimization.
• Responsibilities include designing and maintaining ETL data pipelines using programming languages such as Python and SQL, and data processing frameworks.
• The Data Engineer will implement data quality checks and monitoring for all data pipelines to ensure data integrity.
• The position requires optimizing existing data pipelines for performance and cost-efficiency.
• The engineer will manage data storage solutions like Snowflake, Redshift, and BigQuery for optimal performance.
• Ensuring data security and compliance within the data warehouse environment is a key responsibility.
• Collaboration with data analysts, data scientists, and business intelligence developers is essential to meet their data needs.
• The role includes troubleshooting data-related issues and supporting data-driven decision-making.
• Documentation for data models, pipelines, and data sources must be developed and maintained.
• Participation in code reviews and mentoring junior data engineers is expected.
• The position is fully remote.

Requirements:

• Candidates must have 3+ years of experience in designing, developing, and deploying data pipelines and data warehouse solutions.
• Experience with healthcare data is a plus.
• Strong communication skills are required to convey complex technical information to both technical and non-technical stakeholders.
• The ability to identify data quality issues and architectural inefficiencies during code reviews is necessary.
• Proficiency in designing scalable data systems that can handle future growth in data volume is essential.
• A strong understanding of data integration methods, including APIs and various data ingestion techniques, is required.
• Candidates must be able to debug and resolve complex production data issues efficiently.
• Experience working effectively within an engineering team and providing constructive feedback is necessary.
• Comfort in a fast-paced startup environment with tight deadlines is important.
• A collaborative mindset and dedication to the company's success are essential.
• Candidates should understand project prioritization and make effective tradeoffs between functionalities.
• The ability to learn quickly and adapt to unfamiliar tools and technologies is required.
• Familiarity with specific data tech stack (e.g., Redshift, Matillion, AWS, dbt) is a plus.

Benefits:

• The position offers a generous benefits package, including a 401k with match, flexible PTO, paid holidays, a 4-week paid sabbatical, and 12 weeks of paid parental leave.
• Health benefits start on the first day of employment.
• Employees have the opportunity to join a mission-driven company that is changing pediatric mental health treatment.
• The role allows for making a significant impact by helping children and families access evidence-based care.
• Team members will work with talented individuals dedicated to solving mental health challenges.
• The position is fully virtual, allowing employees to work from home with periodic in-person retreats.