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
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.
Responsibilities include hands-on contributions in a team environment, critical thinking and developing technical solutions with business stakeholders and changing requirements, and mentoring engineers to ensure high quality development and best practices are maintained throughout the delivery cycles.
Acrisure offers a comprehensive suite of benefits and perks, including competitive compensation, generous vacation policy, paid holidays, paid sick time, medical, dental, and vision insurance, company-paid disability and life insurance, and a vested 401(k) with company match.
Matching 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.
Skills & Requirements
Must-have
Palantir Foundry, AIP and Ontology
Python, Scala, and JavaScript
Dataflow, Apache Airflow, Apache Spark
dbt, Delta Lake, Apache Iceberg
BigQuery, Databricks, Azure, and Postgres
Onsite 4 days per week
Nice-to-have
Entrepreneurial spirit and collaboration
AI-assisted coding
DevOps processes
Forward-deployed engineer embedded with partner teams
Key Requirements
8+ years of experience in data engineering
Strong data modeling skills
Proficiency in Python, Java, SQL, and Scala
Hands-on experience with Databricks, BigQuery, or Palantir
Bachelor’s degree in Computer Science or equivalent experience