Software Engineer, Data (L1)

Acrisure; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Generous vacation and paid sick time

Medical, dental, and vision insurance

401(k) with match

FSA, HSA, and commuter benefits

Paid maternity, paternity, and fertility benefits

Job summary

SwiftCruit is hiring a Software Engineer to join the Enterprise Data team in Austin, TX. The role includes building data pipelines and ensuring data quality while collaborating with product and engineering teams.

The ideal candidate has 2+ years of experience, strong SQL skills, and proficiency in programming languages like Scala, Python, or Java. Benefits include competitive pay, generous holiday policies, and comprehensive health insurance.

Qualifications

• 2+ years of experience with data warehouses or data lakes.
• Demonstrated desire for continuing education and improvement.

Responsibilities

• Leverage established patterns to onboard new data sets.
• Develop automated data-management processes.
• Collaborate through design and code reviews.
• Partner with teams to define priorities.

Skills

Data warehousing experience

Strong SQL skills

Scala, Python, or Java proficiency

Knowledge of Data Lake and Delta Lake

Data security best practices

Experience with Databricks, BigQuery, or Palantir

Familiarity with Airflow, Dagster, or Fivetran

GCP or Azure environments

DevOps experience

APIs and data frameworks

Education

Undergraduate degree in computer science or related discipline

Tools

Palantir Foundry

Spark

Polars

Job description

Software Engineer, Data (L1)

Location: Austin, TX – Onsite, 4 days per week.

Employer: Acrisure Enterprise Technology Group, a global fintech leader with over 19,000 employees.

Job Summary

The Enterprise Data team unifies data across the organization using Palantir Foundry, AIP, and Ontology. Your role focuses on building pipelines to onboard raw datasets into our data platform, ensuring quality and best practices throughout the development cycle.

Responsibilities

• Leverage established patterns and create new ones to onboard new data sets quickly.
• Develop repeatable, automated data‑management processes for sensitive information.
• Own deliverables and collaborate through design and code reviews.
• Partner with product, engineering, and AI teams to define priorities.

Qualifications

• 2+ years of experience with data warehouses, data lakes, or software engineering focused on data.
• Strong SQL skills.
• Proficient in Scala, Python, or Java.
• Knowledge of Data Lake and Delta Lake concepts.
• Understanding of data security best practices.
• Experience with Databricks, BigQuery, or Palantir.
• Familiarity with data pipelines, ontology development, and orchestration tools such as Airflow, Dagster, or Fivetran.
• Experience in GCP or Azure environments.
• DevOps experience.
• Experience creating standards, documentation, and testing.
• Experience with APIs and data frameworks like Spark and Polars.
• Undergraduate degree in computer science or related discipline preferred.
• Demonstrated desire for continuing education and improvement.

Benefits

• Competitive salary.
• Generous vacation, paid holidays, and paid sick time.
• Medical, dental, and vision insurance (employee‑paid).
• Short‑term and long‑term disability insurance.
• Group life insurance.
• Employee Assistance Program and Calm app subscription.
• Pet insurance and optional supplemental coverage.
• 401(k) with match and financial wellness programs.
• FSA, HSA, and commuter benefits.
• Paid maternity, paternity, and fertility benefits.

Equal Opportunity Employer

We are an Equal Opportunity Employer. We do not discriminate on race, color, religion, sex, national origin, disability, or veteran status. Reasonable accommodations are provided upon request.