[Remote] Data Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to deliver specialty anxiety and OCD care for children and families. They are seeking a Data Engineer II to design, build, and maintain reputed company data infrastructure that supports clinical and operational decision-making.
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