United States only**This is a direct-hire position with our client at a fully remote company. Applicants must be authorized to work in the U.S. without sponsorship.**
Summary
We’re looking for a Senior Data Engineer who thinks at the intersection of product and data—how data is captured, structured, and activated to power business insights, scalable platforms, and AI-driven opportunities. This role is ideal for someone with a strong data engineering background who aspires to evolve into a Data Architect in the future. You’ll join a collaborative, innovative, and growth-minded culture that values adaptability and continuous learning.
You’ll be hands-on with modern cloud data technologies, help shape the data strategy, and work across engineering, product, and infrastructure teams. We value candidates who have worked in startup or mid-size environments and are comfortable wearing multiple hats.
Responsibilities
Design, build, and maintain scalable data pipelines and infrastructure in AWS.
Collaborate with product, engineering, and business teams to ensure data systems align with product needs and business outcomes.
Optimize data architecture for performance, scalability, and reliability.
Partner with stakeholders to define data models and structures that enable analytics, AI/ML, and product innovation.
Support ETL/ELT processes and ensure high data quality standards.
Mentor peers and contribute to the long-term vision of evolving this role into a Data Architect position.
Qualifications
7+ years of professional experience in data engineering or related fields.
Strong expertise with AWS cloud services (S3, Glue, Redshift, Lambda, etc.).
Proficiency with SQL and at least one scripting language (Python preferred).
Strong knowledge of data modeling, ETL/ELT frameworks, and cloud-native data platforms.
Experience in a .NET environment with familiarity in C#.
Demonstrated ability to thrive in smaller, fast-paced environments where adaptability and versatility are key.
Preferred Skills
Interest or hands-on exposure to AI/ML tools, frameworks, or applications.
Experience influencing or defining data architecture in growing organizations.
Familiarity with CI/CD pipelines and DevOps best practices for data systems.
Our Vetting Process
At Emergent Staffing, we work hard to find the software engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:
Application (5 minutes)
Online Assessment (40-60 minutes)
Initial Video Interview (30-45 minutes)
Client On-site Interview (60 minutes)
Job Offer!
#EmergentStaffing
Highlights
In this role, you’ll design and optimize data pipelines in AWS, connecting product and data to drive insights. You’ll grow toward a future Data Architect path in a collaborative culture.
