1 day ago
Responsibilities
- Build and evolve reusable data engineering patterns for scalable onboarding of enterprise data sources into the lakehouse.
- Design and implement automated data management processes that improve data quality, security, governance, and responsible handling of sensitive information.
- Own technical deliverables from solution design and development through testing, deployment, monitoring, and production support.
- Design and build reusable data models, pipelines, frameworks, and components for multiple business use cases.
- Improve performance, reliability, scalability, maintainability, engineering standards, and technical debt management.
- Apply automated testing, data validation, CI/CD, observability, code reviews, and documentation practices.
- Translate business requirements and KPIs into practical technical solutions in collaboration with Product and business stakeholders.
- Partner with Data, AI, and engineering teams to provide trusted data for analytics, AI applications, operational workflows, and business processes.
- Guide technical decisions, mentor engineers, participate in design discussions, and share engineering patterns and best practices.
- Identify and drive improvements in data platform tooling, engineering processes, data quality, reliability, and team productivity.
Requirements
- 8–10+ years of experience in software or data engineering, including enterprise data platforms, warehouses, lakehouses, or data-intensive applications.
- Strong SQL skills and proficiency in Python, Scala, or Java, with experience building complex pipelines, transformations, reusable components, and data services.
- Understanding of modern lakehouse architecture, data modeling, partitioning, schema evolution, incremental processing, CDC, data quality, and performance tuning.
- Strong Databricks experience, including Delta tables, Spark, batch and streaming pipelines, optimization, and scalable data engineering practices.
- Experience with cloud data platforms, especially GCP and/or Azure, and technologies such as BigQuery, Azure, Databricks, Postgres, or Dataflow.
- Experience with orchestration and integration tools such as Airflow, Dagster, Fivetran, dbt, APIs, CDC, and batch or streaming technologies.
- Experience with software engineering fundamentals including modular design, version control, code reviews, automated testing, CI/CD, observability, troubleshooting, and production support.
- Hands-on experience with data quality checks, validation frameworks, reconciliation, automated testing, and pipeline reliability tooling.
- Experience building reusable data structures and engineering patterns across teams and use cases.
- Strong technical design, problem-solving, performance tuning, ownership, communication, and cross-functional collaboration skills.
- Ability and willingness to mentor engineers and work with engineers, product managers, data scientists, analysts, and business teams.
- Palantir Foundry, Ontology, or AIP experience is preferred but not required.
- An undergraduate degree in computer science or a related discipline is preferred, or equivalent experience, along with a demonstrated desire for continuing education and improvement.
Benefits
- Competitive compensation, generous vacation, paid holidays, and paid sick time.
- Medical, dental, and vision insurance, with employee-paid medical, dental, and vision coverage noted.
- Company-paid short-term and long-term disability, group life insurance, Employee Assistance Program, and Calm app subscription.
- 401(k) with company match and immediate vesting, financial wellness programs, FSA, HSA, commuter benefits, and employee discount programs.
- Paid maternity leave, paid paternity leave including adoptive parents, fertility benefits, legal plan options, and pet insurance.
- Career growth, learning opportunities, wellness resources, and flexible supplemental insurance options.
- Full-time onsite role in Austin, Texas, requiring presence four days per week; no C2C or C2H employment.
Tech Stack
Apache AirflowApache SparkAzureDatabricksdbtGoogle BigQueryGoogle Cloud PlatformJavaJavaScriptPostgreSQLPythonScalaSQL
Categories
Data Engineering
About Acrisure
Acrisure is a privately held insurance brokerage and fintech platform that serves businesses and individuals with property and casualty, employee benefits, reinsurance, payroll, and cybersecurity solutions. It operates globally from its headquarters in Grand Rapids, Michigan, and uses a mix of technology and advisory services for distribution. Founded in 2005, Acrisure is owned by ABRY Partners.