Senior Data Engineer with Strong Kafka Streaming Exp - Atlanta, GA and Chicago, IL(Onsite)

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we've grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), and Four, a Buy Now Pay Later (BNPL)

Azure Data Tech Lead Alpharetta, GA / Berkley Heights NJ (Day 1 Onsite) Long Term Core Skills: Azure, Databricks, ADLS, Spark (Python), SQL, ETL, Delta Lake, PostgreSQL, Data Architecture, Batch & Real-time Processing, Data Modelling Required Skills & Experience 10+ years of hands-on data engineering experience in enterprise environments. Strong expertise in Azure services, especially Azure Databricks, Functions, and Azure Data Factory (preferred). Advanced proficiency in Apache Spark with Pytho

Location Hybrid Remote in Atlanta (3 days onsite/week). Note: Initial 100% onsite required for the first six months. Employment Type: Permanent / Direct Hire / Full-time Salary: Up to $180,000 (depending on experience) + bonus Benefits: Comprehensive healthcare coverage (medical, dental, vision, life, supplemental)Short- and Long-Term Disability (STD/LTD)HSA & FSA optionsPaid Time Off (PTO)401(k) retirement plan The Role: We are seeking a highly skilled and hands-on Data Architect to lead the d

Kafka Engineer / Administrator / Developer Pay: $50/hr on W2 Location: Remote The Kafka Engineer / Administrator / Developer is a key member of the program technical team, supporting large-scale data streaming, system integration, and platform modernization initiatives. This role is responsible for designing, developing, administering, and optimizing Apache Kafka clusters and event-driven architectures that support high-volume, mission-critical data flows. The Kafka Engineer works closely with F