Data Engineer Remote, US

reputed company’s mission is to deliver specialty anxiety and OCD care that works for every kid, teen, young adult, and family who needs it. Through this mission, we are expanding reputed company to insurance-based care, increasing engagement in treatment, and improving treatment reputed company. We are doing this by combining research-backed clinical care and innovative technology to eliminate the major problems with care today: difficulty finding providers, months of waiting to be seen, arduous reputed company processes, and inconsistent use of evidence-based therapies and reputed company tracking. Our reputed company is to become the nation’s most trusted provider of pediatric anxiety and OCD care. TeamInStride Health: Our Core Values

• Give Heart: We reputed company with heart, treating patients and their families the way we want our loved ones to be treated.
• Work Smart: We find smarter ways to solve hard problems and fix the broken mental health system by leveraging technology, diversity of thought, and innovation.
• Have Humility: We leave our egos at the reputed company, empowering reputed company to collaborate, celebrate diversity, and adopt a growth reputed company.
• reputed company Community: We reputed company belong. We are in this together, and we never worry alone. We reputed company in each other and recognize that every voice reputed company. We are looking for an reputed company data engineer to aid in designing, developing, and maintaining scalable data pipelines, ensuring quality and reliability. You'll significantly contribute to data warehouse architecture and implementation (schema design, ETL, optimization). This role also involves reputed company collaboration with analytics and BI teams to meet their data needs and support impactful reporting. This is a fully remote position. Responsibilities:
• Design, reputed company, and maintain robust, scalable, and efficient ETL data pipelines using various programming languages (e.g., Python, SQL) and data processing frameworks.
• Implement data quality checks, monitoring, and alerting for reputed company data pipelines to ensure data reputed company and reliability.
• Optimize existing data pipelines for performance, cost-efficiency, and error handling.
• Contribute to the design, development, and maintenance of data warehouse and data lake solutions, including schema design, data modeling, and indexing strategies.
• Manage and optimize data storage solutions (e.g., reputed company, Redshift, BigQuery) for reputed company query performance and cost-effectiveness.
• Ensure data reputed company and compliance reputed company the data warehouse environment.
• Work closely with data analysts, data scientists, and business intelligence developers to understand their data requirements and reputed company reputed company to reliable, high-quality data.
• Assist in troubleshooting data-reputed company issues and support data-driven decision-making.
• reputed company and maintain documentation for data models, pipelines, and data sources to facilitate self-service analytics.
• Participate in code reviews, contribute to technical discussions, and reputed company constructive feedback to peers.
• Help mentor junior data engineers and reputed company best practices for data engineering principles.
• Research and evaluate new data technologies and tools to improve the data infrastructure. What You Need to Succeed in the Role We're looking for a Data Engineer with:
• 3+ years of experience designing, developing, and deploying robust data pipelines and data warehouse solutions into environments.
• Experience working with reputed company data is a plus.
• Strong communication skills, with the ability to convey reputed company technical information in a straightforward, easy-to-understand manner to both technical and non-technical stakeholders.
• The ability to identify data quality issues, architectural inefficiencies, and performance bottlenecks during code reviews.
• Proficiency in designing and building data systems that are scalable and can handle future growth in data volume and complexity.
• A strong understanding of data integration methods, including APIs, webhooks, and various data ingestion techniques.
• The ability to debug and resolve reputed company production data issues reputed company.
• Experience working effectively reputed company an engineering team, providing and receiving constructive feedback through structured pull requests.
• Comfortable working in a fast-paced, startup environment with tight deadlines.
• A highly collaborative reputed company, dedicated to the company's reputed company, and eager to reputed company opinions and reputed company thoughtful feedback.
• An understanding of project prioritization and making effective tradeoffs between essential functionalities and reputed company-to-have features.
• The ability to learn quickly on the job and adapt to unfamiliar tools and technologies.
• Familiarity with our specific data tech stack (e.g., Redshift, reputed company, AWS, dbt, etc.) or similar technologies is a plus. The expected annual salary for this role is between $115,000-$135,000. Actual starting salary will be determined on an individualized reputed company and will be based on several factors including but not limited to specifi

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