Staff Data Engineer

About This Opportunity

We are representing a well-funded technology company in the retail and commerce space. Our client is seeking a Staff Data Engineer to serve as a technical leader on their Data Engineering team. This is a remote position based in the USA.

In this role, you'll drive the design and implementation of foundational data products and analytics platform capabilities that power critical product and business use cases. You'll lead cross-functional workstreams, shape patterns and architecture across teams, and elevate the overall quality and impact of data work across the organization.

This role is ideal for someone who enjoys deep technical problem-solving, cares about quality and long-term maintainability, and is motivated by helping others work more effectively with data.

Responsibilities

• Lead platform modernization efforts across the analytics ecosystem, including deprecating legacy workflows and tooling, migrating pipelines to more scalable patterns, and improving infrastructure, CI/CD, and developer experience
• Drive high-leverage infrastructure and FinOps initiatives across systems like Snowflake, Dagster, and dbt, reducing cost, improving governance, and increasing scalability and maintainability
• Own platform evolution projects such as making data more consumable by agentic tools and workflows, or improving orchestration tooling for analytics workflows
• Design and deliver highly complex, domain-critical data products used by analysts, data scientists, and product teams to unlock new product features, ML models, and strategic decisions
• Architect scalable, extensible patterns for modeling, orchestration, and data transformation, balancing flexibility, reusability, and cost-efficiency
• Lead technical planning and delivery across cross-functional teams, breaking down complex data initiatives into scoped, sequenced workstreams
• Drive platform adoption and best practices, mentoring other engineers, building internal documentation and tooling, and raising the overall bar for analytics engineering
• Influence upstream and downstream teams, partnering with engineering, product, data science, and business stakeholders to align on requirements and deliver end-to-end solutions
• Represent Data Engineering in technical design forums and contribute to roadmap discussions

What We're Looking For

Required Qualifications:

• 8+ years of experience in data or analytics engineering, with a track record of owning complex, business-critical data systems end to end
• Deep experience with the modern data stack (Snowflake, dbt, Dagster, Databricks), Terraform, and cloud infrastructure
• Track record of leading platform migrations, deprecations, or upgrades across shared systems, balancing technical risk, operational continuity, and long-term maintainability
• Ability to design secure, reusable patterns for data ingestion, access control, and platform automation
• Experience with DevOps practices (CI/CD for data), data governance, or FinOps (cost-conscious design)
• Ability to break down ambiguous, cross-functional data problems and lead implementation from design to deployment
• Strong communication skills across technical and non-technical audiences
• Understanding of how to balance business value, maintainability, and platform standards in design decisions
• Passion for mentoring others, setting standards, and leaving systems better than you found them

Preferred Qualifications:

• Experience supporting machine learning workflows, such as building features or monitoring model inputs and outputs
• Experience working in a fast-growing startup environment or on platform-style teams that serve internal customers

Who Will Thrive:

• You aren't afraid to challenge the status quo when it makes the team and business better
• You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose and impact
• You care about building resilient systems that scale and bring a mindset of continuous improvement
• You believe that pulling quality upstream starts with engineering and champion best practices

How We Work With You

Our talent team at Get A Job.ai partners with exceptional companies to connect them with outstanding candidates. Here's how the process works:

• Apply through the Get A Job.ai platform with your resume and relevant information
• Our recruiting team will review your application and conduct an initial screening
• Qualified candidates will be submitted directly to our client for consideration
• Please do not contact the client directly—all communication should go through Get A Job.ai to ensure proper representation

Compensation and Benefits

Pay via Get A Job.ai: $215,000 - $250,000 base salary. The final offer will be determined based on your skills, experience, qualifications, and market conditions.

Our client offers comprehensive benefits including:

• Medical, dental, and vision coverage starting on Day 1
• Equity (ISOs)
• 401(k) program
• Family planning programs and paid parental leave
• Physical fitness and wellness memberships
• Emotional and mental health support programs
• Unlimited PTO plus 10 paid federal holidays and an annual week-long winter break
• Flexible remote work environment
• Learning and Development stipend

Equal Opportunity: Get A Job.ai is committed to diversity and inclusion in our recruiting process. We welcome candidates from all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.