Staff Data Engineer

Overview

This position is posted by Jobgether on behalf of Customer.io. We are currently looking for a Staff Data Engineer in Americas.

This is a high-impact opportunity to own and shape the data infrastructure that drives analytics across the organization. You will design, implement, and maintain a modern, scalable data stack that supports decision-making for teams across the company. The role emphasizes building AI-ready data pipelines, creating a trusted semantic layer, and enabling self-service analytics. You'll collaborate with analysts, product managers, and data scientists to optimize workflows, streamline governance, and ensure data reliability. This position requires a balance of technical expertise, strategic thinking, and hands-on execution. The ideal candidate thrives in a fast-paced environment, takes ownership, and is excited to influence the future of data systems.

• Design, document, and optimize dbt models to establish a trusted semantic layer that drives key business metrics
• Administer and enhance the modern data stack (Snowflake, dbt, Sigma, Stitch, Fivetran), ensuring scalability, reliability, and performance
• Partner with analytics and product teams to deliver accurate, AI-ready data for decision-making and product features
• Improve pipeline efficiency and governance: refactor SQL, streamline dbt runtimes, reduce costs, and implement RBAC and documentation standards
• Evaluate and shape the future of data orchestration and infrastructure, including front-end data applications like Streamlit
• Build automated workflows to simplify processes and support analytics and AI/ML initiatives

• 5-8 years of hands-on experience as a Data or Analytics Engineer in fast-paced, high-growth environments
• Advanced skills in SQL, dbt, and Python, with the ability to build robust models and automate workflows
• Experience with Snowflake administration, performance optimization, and cost management
• Familiarity with ETL tools (Stitch, Fivetran) and orchestration frameworks (dbt Cloud, Airflow)
• Knowledge of GCP and Terraform is a plus
• Demonstrated experience building and improving data systems, not just operating them
• Strong ownership mentality, curiosity, and excitement for shaping a data platform that supports analytics and AI/ML initiatives
• Americas-based and comfortable working remotely

• Competitive salary starting at $170,000 USD (or local equivalent), adjusted based on experience and market rates
• 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
• 16 weeks paid parental leave and unlimited PTO
• Stipends for remote work setup and wellness programs
• Professional development budget and resources for continuous learning
• Fully remote-friendly work environment with flexible scheduling
• Inclusive, collaborative, and supportive company culture

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements. It compares your profile to the job's core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Non-profit Organizations and Primary and Secondary Education

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