Senior Software Engineer, Data Engineering

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

📋 Description

• Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions tailored to the organization's needs.

• Data Modeling: Create and sustain logical and physical data models that support business intelligence, analytics, and reporting requirements.

• Pipeline Engineering: Design, construct, and optimize ETL (Extract, Transform, Load) processes and data pipelines to guarantee a seamless and efficient data flow from various sources.

• Data Integration: Combine diverse data sources, including APIs, databases, and third-party data, into a cohesive data platform.

• Performance Optimization: Monitor and enhance the performance of data systems and pipelines to ensure low latency and high throughput.

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

• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver suitable solutions.

• Documentation: Maintain detailed documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing.

• Training: You'll effectively train and collaborate with team members on data engineering best practices.

• Technical Influence/Leadership: Recommend policy changes and establish department-wide procedures while using extensive experience to resolve complex problems.

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

⛳️ Requirements

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

• More than 3 years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase.

• Proficient in applying various integration patterns for different use cases.

• Experience in backend software development contributing to distributed computing development and data technologies, with broad knowledge across systems, contexts, and ideas.

• Skilled in implementing data pipelines and enhancing the performance of ETL processes and related SQL queries.

• Familiar with data modeling for both OLTP and OLAP applications.

• Experience with Cloud platforms such as Amazon AWS.

• Knowledge of workflow management tools, preferably Airflow.

• Acquainted with cloud-based data warehouses, preferably Amazon Redshift.

• Exceptional problem-solving and analytical abilities.

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

• Understanding of data governance practices and principles.

🏝️ Benefits

• Competitive salary with a generous annual cash bonus.

• Equity grants.

• Remote-first work-from-home culture.

• Flexible Time Off to help you rest, recharge, and connect 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!