Acrisure's Enterprise Data team is looking to unify data across the enterprise to optimize business decisions, and the Data Engineer role is responsible for building technology and pipelines to rapidly onboard raw datasets into the data platform.
Requirements
- 2+ years of engineering experience with data warehouses, data lakes or software engineering with a data emphasis
- Strong SQL knowledge
- Proficient in Scala, Python, or Java
- Well versed in Data Lake & Delta Lake Concepts
- Understanding of data security best practices
- Well versed in Databricks/BigQuery/Palantir usage in building enterprise data platforms
- Familiarity with implementing end-to-end data pipeline and Ontology development using Palantir platform is a plus
Responsibilities
- Leverage established patterns and establish new patterns as required to rapidly onboard new data sets into the data platform
- Establish repeatable, automated data management processes for managing sensitive information
- Own deliverables while also collaborating with and supporting others in a team setting including conducting and participating in design and code reviews
- Collaborate with product on priorities and approach and with other engineering and AI teams who would consume raw data
Other
- Undergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvement
- Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.
- 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.
- Competitive compensation
- Generous vacation policy, paid holidays, and paid sick time
