Software Engineer, Data (L2)

Acrisureinnovation; Austin (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation policy

Medical, dental, and vision insurance

401(k) with company match

Paid maternity and paternity leave

Flexible Spending Account options

Job summary

Acrisureinnovation is seeking a Software Engineer, Data (L2) in Austin, Texas. This full-time position offers a hybrid work model, requiring four days in the office.

The role focuses on building technology and pipelines to unify data sources for optimal business decision-making. Candidates should have 5+ years of experience, strong data modeling skills, and proficiency in Python and Java.

Benefits include competitive compensation, generous vacation, and medical insurance.

Qualifications

• 5+ years of experience in data engineering, data warehousing, or software engineering.
• Strong data modeling skills and collaboration with business stakeholders.
• Hands-on experience with Databricks and cloud environments.

Responsibilities

• Leverage existing and new patterns for onboarding datasets.
• Design high-quality data models for operational and analytical needs.
• Translate business requirements into scalable data solutions.

Skills

Data modeling

Python

Java

SQL

Scala

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

BigQuery

Palantir

Airflow

GCP

Azure

Job description

Software Engineer, Data (L2)

Austin, Texas (Hybrid: Four Days in Office)

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.

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 Software Engineer, Data (L2) is responsible for building technology and pipelines to rapidly model different and varying data sources into reusable data models that can be consumed by a wide variety of customers including operational applications as well as analytics & metrics. Responsibilities include hands‑on contributions in a team environment, critical thinking and developing technical solutions with business stakeholders and changing requirements, and mentoring engineers to ensure high quality development. Best practices are maintained throughout the delivery cycles.

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, and JavaScript and make use of many frameworks including Dataflow, Apache Airflow, Apache Spark, dbt, Delta Lake, Apache Iceberg.

Responsibilities

• Leverage existing patterns—and create new ones as needed—to rapidly onboard new datasets into the data platform.
• Understand business use cases and data context to design complete, high‑quality data models supporting both operational and analytical needs.
• Apply deep technical expertise and critical thinking to translate business requirements into scalable, adaptable system and data solutions.
• Take ownership of deliverables while collaborating and mentoring team members, including conducting and participating in design and code reviews.
• Communicate effectively with business stakeholders to clarify requirements and business context; operate as a forward‑deployed engineer embedded with partner teams.

Candidates should be comfortable with an on‑site presence to support collaboration, team leadership, and cross‑functional partnership.

Requirements

• 5+ years of experience in data engineering, data warehousing, data lakes, or software engineering with a data focus.
• Strong data modeling skills and the ability to work directly with business stakeholders to understand data needs.
• Proficiency in Python, Java, SQL, and Scala.
• Strong knowledge of Data Lake and Delta Lake concepts.
• Understanding of data security and data governance best practices.
• Hands‑on experience with Databricks, BigQuery, or Palantir for building enterprise data platforms; experience with end‑to‑end data pipelines or ontology development in Palantir is a plus.
• Familiarity with orchestration tools such as Airflow, Dagster, or Fivetran.
• Experience working in cloud environments (GCP or Azure preferred).
• Familiarity with DevOps processes and AI‑assisted coding is a plus.
• Experience building and documenting best practices for software testing, data testing, and system documentation.
• Experience working with APIs.
• Bachelor’s degree in Computer Science or a related field, or equivalent experience with demonstrated commitment to continued learning and growth.

Education and Experience

• Undergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvement.

Benefits and Perks

• 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!

EEO Statement

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. If you need to inquire about an accommodation, or need assistance with completing the application process, please email [e-mail].

California Privacy Notice

California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant.

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