Data Engineer II

🕒 Maio 22

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InStride Health

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚕️ Seguro de Saúde

🧘 Bem-estar

💰 $26.000.000 Venture Round em 2022-10

Healthcare Insurance • Wellness

A InStride Health é uma fornecedora de cuidados ambulatoriais especializados para ansiedade pediátrica e TOC, focada em crianças, adolescentes e jovens adultos de 7 a 22 anos. A empresa oferece um modelo clínico baseado em pesquisas desenvolvido em uma escola de medicina afiliada a Harvard. A InStride Health fornece uma equipe de cuidados dedicada, planos de tratamento personalizados que incluem terapia individual, terapia familiar, coaching de exposição e gerenciamento de medicação. Eles visam ajudar os jovens a enfrentar seus medos, construir resiliência e apoiar as famílias. O serviço é coberto pela maioria dos principais seguros e está disponível em vários estados, como CT, MA, ME, NH, NJ, NY, OH, PA, RI e VA.

Descrição

• Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks including dbt, Matillion, and AWS services. • Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability. • Optimize existing pipelines for performance, cost-efficiency, and error handling. • Contribute to the design and maintenance of InStride’s data warehouse and data lake solutions, including schema design, data modeling, and indexing strategies in Amazon Redshift. • Ensure data security, HIPAA compliance, and proper handling of protected health information (PHI) within all data infrastructure. • Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access. • Troubleshoot and resolve complex production data issues with urgency and root-cause rigor. • Develop and maintain clear documentation for data models, pipelines, and data sources to enable self-service analytics. • Participate in code reviews and contribute to technical discussions, bringing a constructive and detail-oriented perspective. • Stay current on emerging data technologies and tools, bringing relevant insights to the team.

🎯 Requisitos

• 3+ years of experience designing, developing, and deploying data pipelines and data warehouse solutions in production environments. • Strong proficiency in SQL and Python for data engineering and transformation work. • Hands-on experience with cloud data warehouses (Amazon Redshift preferred; Snowflake or BigQuery also valued) and familiarity with ETL/ELT tools such as dbt, Matillion, or similar. • Working knowledge of AWS services relevant to data engineering (e.g., S3, Glue, Lambda, Redshift). • Demonstrated understanding of HIPAA compliance requirements and experience working with sensitive or regulated data. • Ability to design and build data systems that are scalable, observable, and built to handle growth in data volume and complexity. • Strong understanding of data integration patterns, including APIs, webhooks, and batch ingestion techniques. • Experience giving and receiving structured feedback through pull request reviews and technical discussions. • Strong communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders. • Comfortable operating in a fast-paced startup environment, balancing competing priorities and making sound tradeoffs. • Experience working with healthcare data is a plus.

🏖️ Benefícios

• Generous benefits package (401k with match) • Flexible PTO • Paid holidays • Paid service days • 4 week paid sabbatical • 12 week paid parental leave • Health benefits starting on your first day • And more