Staff Data Engineer

About Us:

Function was founded with a singular focus: empower you to live 100 healthy years. We’re doing that by using the best available technology to make sure people don't suffer or die a preventable death. Function has been recognized as one of Fast Company’s Most Innovative Companies of 2024, and is venture-backed by Andreessen Horowitz (a16z). 130,000+ members have joined Function to take control of their health. We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action and a growth mindset. Function fosters a collaborative and dynamic environment, where every day we are building the future.

Role:

We are seeking an experienced Staff Data Engineer to lead and contribute to the design, development, and optimization of our data infrastructure. This role requires deep expertise in GCP, data engineering, Change Data Capture (CDC), ETL, governance, and streaming technologies. You will work closely with data scientists, analysts, and software engineers to ensure seamless data ingestion, processing, and access across the organization.

Key Responsibilities:

• Architect, design, and implement scalable and reliable data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, etc.).
• Develop and optimize ETL/ELT workflows to support structured and unstructured data processing.
• Implement Change Data Capture (CDC) solutions to enable real-time data replication and updates.
• Design and enforce data governance best practices, including security, lineage, metadata management, and access control.
• Build and manage real-time streaming data pipelines using Datastream, Apache Beam, or other relevant technologies.
• Collaborate with cross-functional teams to understand data needs and provide innovative solutions for data integration and accessibility.
• Optimize data storage and retrieval strategies to improve performance and cost-efficiency.
• Mentor junior engineers and contribute to the evolution of the data engineering team’s best practices

Qualifications/Skills:

• 8+ years of experience in data engineering, with a focus on scalable data architectures.
• Strong expertise in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, IAM, etc.).
• Hands-on experience with CDC technologies like Debezium, Fivetran, or equivalent.
• Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.).
• Deep understanding of data governance principles, including compliance and security best practices.
• Expertise in real-time data streaming (Kafka, Apache Flink, Apache Beam, etc.).
• Proficient in SQL and Python for data processing and automation.
• Strong problem-solving skills with the ability to work in a fast-paced environment.
• Excellent communication and leadership skills.

To be a strong fit, you also need:

• Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike.
• Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs.
• Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization.
• Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location.
• Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success.

Your dedication to these responsibilities will directly contribute to the success of our platform and the satisfaction of our users. We ar