Job Description
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.
Required Skills & Experience
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
Desired Skills & Experience
Experience supporting machine learning or LLM-based production systems
Familiarity with agent orchestration frameworks such as LangGraph
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
What You Will Be Doing Tech Breakdown
35% Data Architecture & Strategy
35% Data Engineering & Pipeline Development
20% Technical Leadership & Cross-Functional Collaboration
10% AI, Automation & Platform Innovation
Daily Responsibilities
65% Hands On Engineering
20% Architecture & Technical Leadership
15% Team Collaboration & Stakeholder Engagement
The Offer
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 881265
- Posted 3 days ago
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