Data Engineer

A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design, development, and evolution of enterprise‑scale data systems that power critical business operations and decision‑making. This role combines data architecture, platform engineering, and technical leadership, with a focus on building scalable ETL/ELT pipelines, modern cloud‑based data platforms, and trusted data foundations across the organization. The environment leverages Python, SQL, AWS, Redshift, Glue, Lambda, S3, Airflow, and modern data engineering practices to support both operational and analytical workloads.

This is a highly visible Staff‑level opportunity where you'll serve as the senior technical leader for data engineering, shaping the organization's long‑term data strategy while remaining hands‑on with architecture and implementation. The team is looking for someone who enjoys solving complex data challenges, influencing engineering standards across teams, and building systems that scale with business growth. This is a full‑time position.

• Extensive experience building and maintaining production ETL/ELT pipelines
• Strong experience with Python and SQL
• Experience with AWS data technologies including Redshift, Glue, Lambda, and S3
• Experience with orchestration tools such as Airflow
• Experience designing scalable data warehouse architectures and enterprise data models
• Strong understanding of distributed data systems and database architecture
• Experience supporting batch, streaming, CDC, and event‑driven data pipelines
• Experience implementing data governance frameworks and RBAC controls
• Strong software engineering fundamentals and backend systems experience
• Ability to lead technical direction and influence stakeholders across teams

• Experience supporting machine learning or LLM‑based production systems
• Familiarity with agent orchestration frameworks such as Lang Graph
• Experience partnering with Data Science teams to operationalize data products
• Experience introducing AI‑enabled workflows into production environments
• Experience with automation, observability, and modern data platform tooling

• 35% Data Architecture & Strategy
• 35% Data Engineering & Pipeline Development
• 20% Technical Leadership & Cross‑Functional Collaboration
• 10% AI, Automation & Platform Innovation

• 65% Hands On Engineering
• 20% Architecture & Technical Leadership
• 15% Team Collaboration & Stakeholder Engagement

• Competitive base salary + bonus potential

You will receive the following benefits:

• Medical Insurance
• Dental Benefits
• Vision Benefits
• 401(k) with company match
• Paid Time Off (PTO)
• Paid Holidays
• Wellness Programs
• Employee Assistance Program (EAP)
• Fully Remote Work Environment (US‑Based)

Applicants must be currently authorized to work in the US on a full‑time basis now and in the future.