Data Engineer

Acrisure Innovation•Austin, TX

1d•Onsite

About The Position

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 Data Engineer is responsible for building technology and pipelines to rapidly onboard raw datasets into our data platform from a wide variety of data sources and associated technologies. Responsibility includes hands-on contributions in a team environment. Ensuring high quality and best practices are maintained through the development cycle is key to this position. 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, Kotlin, Java, and JavaScript and make use of many frameworks including Dataflow, Apache Airflow, Apache Spark, dbt, Delta Lake, Apache Iceberg, Cloud AI Platform, Spring, and React.

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 data orchestration technologies like Airflow, Dagster, or Fivetran
Experience with cloud environments; (GCP, Azure) a definite plus
Familiar with DevOps process
Experience creating and sharing standards, best practices, documentation, and reference examples for data warehouse, integration/ETL systems
Apply a disciplined approach to testing software and data
Experience working with APIs
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.

Nice To Haves

Familiarity with implementing end-to-end data pipeline and Ontology development using Palantir platform is a plus
Well versed in common data frameworks such as Spark & Polars

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

Benefits

Competitive compensation
Generous vacation policy, paid holidays, and paid sick time
Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
Company-paid Short-Term and Long-Term Disability Insurance
Company-paid Group Life insurance
Company-paid Employee Assistance Program (EAP) and Calm App subscription
Employee-paid Pet Insurance and optional supplemental insurance coverage
Vested 401(k) with company match and financial wellness programs
Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
Paid maternity leave, paid paternity leave, and fertility benefits
Career growth and learning opportunities
…and so much more!
Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location.