Job Opportunities API

Software Engineer, Data (L2) Austin, Texas (Hybrid: Four Days in Office) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position.     About Acrisure   Acrisure Enterprise Technology Group is where human expertise meets advanced technology.   A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.     In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.     Job Summary:    The Enterprise Data team’s mission is to unify data across the enterprise to  optimize  business   decisions made at the strategic, tactical, and operational levels of the organization. We   accomplish this by building a data foundation utilizing Palantir Foundry, AIP and Ontology that powers analytics and reporting platforms, and   business processes that provide quality data, in a timely fashion, from any channel of the   company and present them in such a manner as to maximize the value of that data for both   internal and external customers.     The  S oftware Engineer,  Data  (L2)  is responsible for  building technology and pipelines to rapidly  model  different and varying  data sources  into  re usable  data  models   that can be consumed by  a wide variety of  customer s  including operational applications as well as analytics & metrics . Responsibilit ies   include  hands-on contributions in a   team environment , critical thinking and developing technical solutions with business stakeholders and changing requirements, and mentoring engineers to e nsur e  high quality  development  and best practices are  maintained  throughout the delivery cycles.     Our Data platform is transitioning to Palantir from a Google and Microsoft hybrid cloud tech stack. Our data storage layer includes  BigQuery , Databricks, Azure, and Postgres. Across our broader tech stack, we code primarily in Python, Scala, and JavaScript and make use of many frameworks including Dataflow, Apache Airflow, Apache Spark,  dbt , Delta Lake, Apache Iceberg .       Responsibilities   Leverage existing patterns—and create new ones as needed—to rapidly onboard new datasets into the data platform.   Understand business use cases and data context to design complete, high‑quality data models supporting both operational and analytical needs.   Apply deep technical expertise and critical thinking to translate business requirements into scalable, adaptable system and data solutions.   Take ownership of deliverables while collaborating and mentoring team members, including conducting and participating in design and code reviews.   Communicate effectively with business stakeholders to clarify requirements and business context; operate as a forward‑deployed engineer embedded with partner teams.     Requirements   5+ years of experience in data engineering, data warehousin