Senior Software Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Take ownership of and successfully execute projects that may cover several sprints.

• Proactively determine solutions for ambiguous and open-ended challenges.

• Manage multiple smaller components or services effectively.

• Collaborate with internal teams and cross-functional partners.

• Define and achieve project milestones efficiently.

• Guide less-experienced team members through code reviews and design patterns.

• Advocate for code quality, reusability, scalability, security, and strategic software architecture.

• Work alongside data engineers and analysts to comprehend data pipeline requirements and enhance the platform.

• Implement software engineering best practices (testing, code reviews, CI/CD) in data pipeline and ETL/ELT development.

• Assist in designing and implementing data workflows while increasing familiarity with ingestion and transformation patterns.

• Identify data quality concerns and contribute to improvements in observability across data systems.

• Write code that effectively encapsulates the core aspects of the solution while being flexible, reusable, efficient, and adaptable to evolving requirements.

⛳️ Requirements

• A minimum of 6+ years of experience as a Full Stack Software Engineer.

• Strong proficiency in TypeScript/JavaScript, Node.js, and GraphQL.

• Familiarity with Microservices and Event Driven Architecture (AWS, Serverless, Lambda, Docker, Kubernetes).

• Knowledge of data structures, algorithms, and design patterns.

• Expertise in PostgreSQL and DynamoDB.

• Experience with testing frameworks (unit, integration, functional).

• Proficiency in DevOps tools: Terraform, CloudFormation, CI/CD pipelines.

• Exposure to or enthusiasm for data pipeline concepts (ETL/ELT, batch vs. streaming, data modeling).

• Familiarity with SQL and experience working with relational or analytical data stores; query optimization experience is a plus.

• Basic understanding of data warehousing concepts.

• A willingness to learn about data orchestration tools.

🏝️ Benefits

• Paid time off (vacation, holidays, sick leave).

• Medical, dental, and vision insurance coverage.

• 401(k) plan available to eligible employees.

• Long-term incentive programs.