Sr. Data Engineer

Ready to build the data foundation that powers next-generation analytics and AI innovation? Join our client’s growing technology team as a Sr. Data Engineer and help create a modern data ecosystem that transforms critical business information into actionable insights. This newly created role offers the opportunity to shape how data is collected, governed, and delivered across a rapidly expanding organization.

C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future.

Benefits & Extras

• Join a high-growth organization building a next-generation data and AI platform
• Play a key role in creating a centralized source of truth from multiple enterprise systems
• Work with modern cloud data technologies including Azure, Databricks, Spark, and Delta Lake
• Be part of a collaborative team culture where ownership, professionalism, and teamwork are highly valued
• Enjoy a flexible work environment with a strong focus on innovation and impact
• Help influence technical standards and best practices from the ground up

Compensation

• Up to $115,000, depending on experience

What You’ll Be Doing

• Build and enhance data ingestion frameworks for API and file-based sources
• Integrate data from systems including CRM, portfolio management, and other platforms
• Develop curated datasets supporting reporting, analytics, internal applications, and AI initiatives
• Design data models for accounts, entities, households, and related structures
• Establish testing, monitoring, quality, and governance practices
• Create reliable production workflows and documentation for long-term scalability

What You’ll Need to be Considered

• Experience with Spark, Delta Lake, and Databricks data engineering environments
• Strong API integration experience handling complex vendor systems
• Advanced SQL skills and Python development experience with testing practices
• Experience building data frameworks and production-grade pipelines
• Familiarity with Azure data services and infrastructure-as-code deployment approaches
• Experience with financial services or regulated data environments is a plus

INDIT