Acrisure
Fintech
SoftwareEngineer,Data
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer, Data at Acrisure. Skills: Data Engineering, Data Modeling, Python, SQL. Build technology to model data sources. Build pipelines to model data sources”
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience in data engineering, 5+ years of experience in data warehousing, 5+ years of experience in data lakes, 5+ years of experience in software engineering with a data focus, Data modeling skills, Proficiency in Python, Proficiency in Java, Proficiency in SQL, Proficiency in Scala, Knowledge of Data Lake concepts, Knowledge of Delta Lake concepts, Understanding of data security best practices, Understanding of data governance best practices, Hands-on experience with Databricks, Hands-on experience with BigQuery, Hands-on experience with Palantir, Experience working in cloud environments, Experience building software testing best practices, Experience building data testing best practices, Experience building system documentation best practices, Experience working with APIs, Bachelor’s degree in Computer Science or related field, Equivalent experience with demonstrated commitment to continued learning
Nice to Have
Experience with end-to-end data pipelines in Palantir, Ontology development in Palantir is a plus, Familiarity with Airflow, Familiarity with Dagster, Familiarity with Fivetran, Experience with GCP, Experience with Azure, Familiarity with DevOps processes, AI-assisted coding is a plus
What You'll Do.
Build technology to model data sources
Build pipelines to model data sources
Model data sources into reusable data models
Consume data models with operational applications
Consume data models with analytics platforms
Act as a forward-deployed engineer
Embed with partner teams
Unify data across the enterprise
Optimize business decisions
Build a data foundation
Power analytics platforms
Power reporting platforms
Power business processes
Present data to maximize value
How You'll Work.
Team & Collaboration
Partner teams; Cross-functional partnership
Full Job Description
Software Engineer, Data 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 Software Engineer, Data (L2) is responsible for building technology and pipelines to rapidly model different and varying data sources into reusable data models that can be consumed by a wide variety of customers including operational applications as well as analytics operate as a forward‑deployed engineer embedded with partner teams. Requirements 5+ years of experience in data engineering, data warehousing, data lakes, or software engineering with a data foc
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