Senior Software Engineer, Data Engineering

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Data Architecture: Develop, design, and implement scalable, secure, and efficient data solutions tailored to the organization's requirements.

• Data Modeling: Create and sustain both logical and physical data models to fulfill business intelligence, analytics, and reporting needs.

• Pipeline Engineering: Design, construct, and enhance ETL (Extract, Transform, Load) processes and data pipelines to guarantee smooth and effective data flow from various sources.

• Data Integration: Consolidate various data sources, including APIs, databases, and third-party information, into a cohesive data platform.

• Performance Optimization: Oversee and enhance the performance of data systems and pipelines to ensure minimal latency and maximum throughput.

• Data Quality and Governance: Establish data quality checks, validation procedures, and governance frameworks to ensure data accuracy and reliability.

• Collaboration: Work closely with data scientists, analysts, and other stakeholders to comprehend data requirements and provide solutions that meet their needs.

• Documentation: Keep thorough documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge transfer.

• Training: Collaborate effectively with teammates and provide training in data engineering best practices.

• Technical Influence/Leadership: Suggest policy modifications and set department-wide procedures. Utilize extensive knowledge and experience to tackle complex issues.

• Monitor and manage the production environment to deliver data within established SLAs.

⛳️ Requirements

• 5+ years of experience in building, maintaining, and orchestrating scalable data pipelines.

• 3+ years of experience as a data engineer, developing or maintaining integrations with software such as Airflow or any Python-based data pipeline codebase.

• Proven experience applying a variety of integration patterns for different use cases.

• Background in backend software development to contribute to distributed computing development and data technologies, with extensive experience across systems, contexts, and concepts.

• Experience in implementing data pipelines and enhancing the performance of ETL processes and associated SQL queries.

• Proficiency in data modeling for both OLTP and OLAP applications.

• Familiarity with Cloud platforms such as Amazon AWS.

• Knowledge of workflow management tools (Airflow preferred).

• Familiarity with cloud-based data warehouses (Amazon Redshift preferred).

• Outstanding problem-solving and analytical capabilities.

• Experience handling sensitive data, such as PHI/PII, and adherence to security best practices.

• Understanding of data governance practices and principles.

🏝️ Benefits

• Competitive salary accompanied by a generous annual cash bonus.

• Equity grants.

• Remote-first work-from-home culture.

• Flexible Time Off to allow for rest, recharge, and connection with loved ones.

• Generous parental leave.

• Health, dental, and vision insurance (with above-market employer contributions).

• 401k retirement savings plan.

• Lifestyle Spending Account (LSA).

• Mental Health Support Solutions.

• ...and more!