Software Engineer, Data (L1)

Software Engineer, Data (L1)Austin, TX (Onsite 4 days per week)About AcrisureAcrisure 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 SummaryThe 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 (L1) 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.ResponsibilitiesLeverage established patterns and establish new patterns as required to rapidly onboard new data sets into the data platformEstablish repeatable, automated data management processes for managing sensitive informationOwn deliverables while also collaborating with and supporting others in a team setting including conducting and participating in design and code reviewsCollaborate with product on priorities and approach and with other engineering and AI teams who would consume raw dataRequirements2+ years of engineering experience with data warehouses, data lakes or software engineering with a data emphasisStrong SQL knowledgeProficient in Scala, Python, or JavaWell versed in Data Lake & Delta Lake ConceptsUnderstanding of data security best practicesWell versed in Databricks/BigQuery/Palantir usage in building enterprise data platformsFamiliarity with implementing end-to-end data pipeline and Ontology development using Palantir platform is a plusFamiliarity with data orchestration technologies like Airflow, Dagster, or FivetranExperience with cloud environments; (GCP, Azure) a definite plusFamiliar with DevOps processExperience creating and sharing standards, best practices, documentation, and reference examples for data warehouse, integration/ETL systemsApply a disciplined approach to testing software and dataExperience working with APIsWell versed in common data frameworks such as Spark & PolarsUndergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvementEducation and ExperienceRequired QualificationsUndergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvementCandidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.Employee BenefitsPhysical Wellness: Comprehensive medical insurance, dental insurance, and vision insurance; life and disability insurance; fertility benefits; wellness resources; and paid sick time.Mental Wellness: Generous paid time off and holidays; Employee Assistance Program (EAP); and a complimentary Calm app subscription.Financial Wellness: Immediate vesting in a 401(k) plan; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and employee discount programs.Family Care: Paid maternity leave and paid paternity leave (including for adoptive parents); legal plan options; and pet insurance coverage.... and so much more!This list is not exhaustive of all available benefits. Eligibility and waiting periods may apply to certain offerings.

Benefits may vary based on subsidiary entity and geographic location.Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Applicants may request reasonable accommodation by contacting candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.California Residents: Learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy.Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.Welcome, your new opportunity awaits you.