Remote Data Engineer

Talent • Full-time • Remote (Connecticut, United States, US) • 1d ago

Data Engineer

My client is looking for a highly skilled individual to play a key role in evolving and strengthening their modern data framework. You’ll be reporting into a senior technical leader and will serve as an expert in architecting data systems that are both adaptable and efficient at scale.

In this role, you’ll get hands-on with everything from query language scripting and programmatic data processing to working across major cloud ecosystems. You’ll be instrumental in moving information seamlessly through the system — building smart, reusable components to make that happen. You’ll also get to guide junior contributors and collaborate closely with folks from BI, software, and advanced analytics teams.

Key Focus Areas:

Information Flow Architecture – Develop and refine automated flows for data movement and transformation using common scripting languages and cloud-native orchestration tools
Data Structuring & Representation – Craft layered designs that map accurately to business processes and analytics needs
Platform Optimization – Shape strategy for how information is stored, retrieved, and consumed in a distributed cloud environment
Team Engagement – Participate in agile ceremonies, deliver in sprints, and contribute to cross-functional efforts
Stakeholder Collaboration – Translate technical patterns into value-add solutions for internal partners across analytics and application domains
Coaching & Support – Serve as a technical sounding board and mentor for less experienced team members
Uptime & Quality – Enforce best practices around system reliability, performance, and governance

Additional Responsibilities:

Participate in support rotation to manage escalations
Maintain and modernize older systems as part of broader platform evolution

Background We're Looking For:

At least 7 years of hands-on experience building and maintaining systems that move and manage data at scale
Proven expertise in SQL-like query languages, scripting with dynamic languages (think Python or similar), and fluency in cloud-first development approaches
Past experience working with structured and semi-structured information and cloud-scale processing engines
Comfort working in collaborative environments that apply iterative delivery models (Agile, Scrum, etc.)
Experience transforming data into insights through modeling and visualization workflows
Strong communicator — capable of breaking down complex topics for both technical and business stakeholders

Preferred Extras:

Advanced degree in a STEM or quantitative field
Experience working within platforms tied to a major tech cloud provider
Familiarity with modern data exploration and dashboard tools
Previous exposure to governance, compliance, and security protocols in enterprise environments