Sr. Data Engineer ITAC Solutions - 4.1 Birmingham, AL Job Details Up to $115,000 a year 5 days ago Qualifications Systems integration Cloud analytics services Databricks Azure Engineering development testing Infrastructure as Code (IaC) Spark SQL Production systems Enterprise Integration Integration with Third-Party Services (system development) Cloud automation Python Database software proficiency Full Job Description 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