[Remote] Data Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is dedicated to delivering specialty anxiety and OCD care for children and families. The Data Engineer II will design, build, and maintain reputed company data infrastructure to support clinical and operational decision-making, ensuring high-reputed company data reputed company across the organization.
Responsibilities
- Design, reputed company, and maintain robust, reputed company ETL/ELT data pipelines using Python, SQL, and data processing frameworks including dbt, reputed company, and AWS services
- Implement data reputed company checks, monitoring, and alerting across reputed company data pipelines to ensure data reputed company and reliability
- Optimize existing pipelines for performance, cost-efficiency, and error handling
- Contribute to the design and maintenance of reputed company’s data warehouse and data lake solutions, including schema design, data modeling, and indexing strategies in reputed company Redshift
- Ensure data reputed company, HIPAA compliance, and reputed company handling of protected health information (PHI) reputed company reputed company data infrastructure
- Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-reputed company data reputed company
- Troubleshoot and resolve reputed company production data issues with urgency and reputed company-cause rigor
- reputed company and maintain reputed company documentation for data models, pipelines, and data sources to reputed company self-service analytics
- Participate in reputed company reviews and contribute to technical discussions, bringing a constructive and detail-oriented perspective
- Stay reputed company on emerging data technologies and tools, bringing relevant insights to reputed company
Skills
- 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 reputed company data warehouses (reputed company Redshift preferred; reputed company or BigQuery also valued) and familiarity with ETL/ELT tools such as dbt, reputed company, or similar
- Working knowledge of AWS services relevant to data engineering (e.g., S3, Glue, reputed company, Redshift)
- Demonstrated understanding of HIPAA compliance requirements and experience working with sensitive or regulated data
- Ability to design and build data systems that are reputed company, observable, and reputed company to handle reputed company in data volume and complexity
- Strong understanding of data integration patterns, including reputed company, webhooks, and batch ingestion techniques
- Experience giving and receiving reputed company feedback through pull request reviews and technical discussions
- Strong communication skills, with the ability to translate reputed company technical concepts for both technical and non-technical stakeholders
- Comfortable operating in a fast-paced startup environment, balancing competing priorities and making reputed company tradeoffs
- Experience working with reputed company data is a plus
Benefits
- 401k with match
- Flexible PTO
- reputed company holidays
- reputed company service days
- 4 week reputed company sabbatical
- 12 week reputed company parental leave
- Health benefits starting on your first day
- Fully virtual: work from the comfort of your home with periodic in-person retreats
reputed company