Staff Data Engineer

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

📋 Description

• Design, develop, and sustain high-throughput, event-driven data services and orchestration pipelines utilizing Python, Airflow, and Snowflake.

• Architect and enhance scalable, secure, and extensible components for the data pipeline platform.

• Revamp legacy ingestion pipelines through Change Data Capture (CDC) and Kafka event streaming.

• Collaborate on DataOps best practices, encompassing data modeling, CI/CD, unit testing, and validation frameworks.

• Establish and advocate for data engineering standards and best practices throughout the organization.

• Review the work of fellow engineers and offer implementation guidance.

• Increase the volume of recurring engineering tasks managed by agents while setting up guardrails for safe AI usage.

• Contribute to shaping the data governance strategy, ensuring safe and consistent access to tools and AI assistants for data.

• Oversee the cost efficiency and stewardship of Snowflake and pipeline infrastructure.

• Mentor both data engineers and data analytics engineers.

• Lead cross-functional initiatives that encompass infrastructure, data services, and observability.

• Work alongside product and engineering teams to address complex user-facing and system-level challenges.

• Create and maintain secure, compliant, and well-governed data systems utilizing role-based access controls and data lifecycle management.

⛳️ Requirements

• 8–12+ years of experience in engineering roles, including 3–5+ years in data engineering at a senior, architect, or staff level working on end-to-end data platforms.

• Extensive experience with Snowflake or a comparable data storage solution.

• Familiarity with distributed and non-distributed, structured and unstructured data stores, such as RDS, MySQL, MongoDB, DynamoDB, Redis, and S3.

• Advanced SQL proficiency, including the ability to write and optimize complex queries against large-scale, high-cardinality datasets.

• Significant experience with Airflow or a similar orchestration tool.

• Proven track record in writing high-throughput services using Python.

• Experience with high-volume, event-driven architecture, including CDC and distributed event streaming technologies like Kafka.

• Knowledge of API design patterns such as REST and SOAP.

• Strong DataOps expertise, including data modeling, CI/CD pipelines, source control, unit testing frameworks, and data validation frameworks.

• Experience implementing observability through monitoring and alerting.

• Familiarity with infrastructure-as-code tools such as Terraform.

• Experience in designing or promoting the adoption of agentic or AI-assisted development workflows.

• Proven experience in establishing engineering standards or best practices that are adopted across teams or organizations.

• Cost-conscious ownership of infrastructure and systems.

🏝️ Benefits

• Healthcare benefits, including medical, dental, and vision coverage.

• Parental planning support along with paid maternity and paternity leave.

• Mental health benefits and designated mental health days.

• Annual performance bonuses.

• 401(k) plan with a competitive employer match.

• Responsible Time Off flexible time-off policy.

• Two volunteer days off each calendar year for full-time employees.

• Monthly wellness allowance.

• Monthly technology allowance.

• Opportunities for in-person team connections and an annual company gathering.

• Mentorship program.

• Assistance with fertility-related issues.

• Peer reward and recognition platform.

• MyFitnessPal Premium access.

• Virtual learning and development resources along with training opportunities.

• Retirement savings program with employer matching.

• An inclusive workplace with initiatives supporting diversity, equity, and inclusion (DEI).