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About the Role

The Enterprise Data team's mission is to unify data across the enterprise to optimize business decisions. The Senior Data Engineer will build technology and pipelines to model various data sources into reusable data models for consumption by operational applications, analytics, and metrics. This role involves hands-on contributions, critical thinking, developing technical solutions with stakeholders, and mentoring engineers.

Responsibilities

Build and evolve reusable data engineering patterns for rapid, scalable, and consistent onboarding of new data sources.
Design and implement reliable, automated data management processes to improve data quality, security, and governance.
Own major technical deliverables end-to-end, including design, development, testing, deployment, monitoring, and production support.
Design and build reusable data models, pipelines, frameworks, and components to support multiple business use cases.
Identify opportunities to improve performance, reliability, scalability, and maintainability, addressing technical debt.
Apply disciplined engineering practices, including automated testing, data validation, CI/CD, observability, code reviews, and documentation.
Collaborate with Product and business stakeholders to understand priorities and translate requirements into technical solutions.
Partner with Data, AI, and other engineering teams to provide trusted data for analytics, AI applications, and operational workflows.
Lead through technical expertise and collaboration, contributing to design discussions and mentoring other engineers.
Proactively identify gaps and opportunities in the data platform, tooling, and engineering processes, and drive improvements.

Requirements

8–10+ years of experience in software or data engineering, with experience building and supporting enterprise data platforms, data warehouses, lakehouses, or data-intensive applications.
Strong SQL skills and proficiency in Python, Scala, or Java.
Comfortable building complex data pipelines, transformations, reusable components, and data services.
Good understanding of modern lakehouse architecture, including Delta Lake, Apache Iceberg, data modeling, partitioning, schema evolution, incremental processing, CDC, data quality, and performance tuning.
Strong experience with Databricks, including Delta tables, Spark, batch and streaming pipelines, performance optimization, and scalable data engineering practices.
Experience working with cloud data platforms, especially GCP and/or Azure.
Experience with technologies such as BigQuery, Azure, Databricks, Postgres, Dataflow, or similar platforms.
Experience with data orchestration and integration tools, such as Airflow, Dagster, Fivetran, dbt, APIs, CDC, and other batch or streaming technologies.
Palantir Foundry, Ontology, or AIP experience is a strong plus.
Quick learner who can pick up new platforms and technologies.
Good software engineering fundamentals, including modular design, version control, code reviews, automated testing, CI/CD, observability, troubleshooting, and production support.
Hands-on experience with automation and testing, including data quality checks, validation frameworks, reconciliation, and automated testing tools.
Experience building reusable data structures and engineering patterns.
Good problem-solving and technical design skills.
Experience working with data at scale, including identifying performance bottlenecks and improving query performance, pipeline processing, storage, and overall reliability.
Comfortable working directly with business and product teams, understanding requirements and KPIs, and translating them into scalable technical solutions.
Ownership mindset, with the ability to take a complex problem from design through production support.
Good communication skills, with the ability to explain technical concepts clearly and document designs.
Willingness to mentor and support other engineers.
Experience working across different business domains.
Continuous improvement mindset, with an interest in improving engineering practices, platform capabilities, data quality, reliability, and team productivity.
Strong ownership and execution, with a track record of solving problems independently and delivering reliable solutions on time.
Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.

Skills

Python
Scala
JavaScript
SQL
Dataflow
Apache Airflow
Apache Spark
dbt
Delta Lake
Apache Iceberg
Databricks
BigQuery
Azure
Postgres
Palantir Foundry
Palantir AIP
Palantir Ontology

Location

Austin, TX

Work Type

Onsite
Full-time

Experience Level

Senior

Education Level

Undergraduate degree in computer science or related discipline preferred or equivalent experience

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

About the Company

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 solutions to grow boldly forward.
Bringing cutting-edge technology and top-tier human support together, it connects clients with personalized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, real estate services – and beyond.
Since 2013, Acrisure has grown in revenue from $38 million to $5 billion and employs 20,000 colleagues in 19 countries.
At Acrisure, we’re building more than a business, we’re building a community where people can grow, thrive, and make an impact.
Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.

Equal Opportunity

At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective success.
We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities.
Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.
Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.
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 leaves@acrisure.com.