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About the Role
The Data Engineer will build, integrate, and operationalize Hylant’s enterprise data architecture on our Databricks and Azure platform. This role translates architectural designs and analytical requirements into reliable, scalable data pipelines and business-ready datasets, ensuring solutions align to defined standards, patterns, and governance requirements.
Responsibilities
- Design, build, and maintain data transformation logic, business rules, and analytics-ready datasets using Databricks notebooks, PySpark, and SQL.
- Develop, orchestrate, and monitor ETL/ELT pipelines using Azure Databricks and Azure Data Factory, including scheduling, dependency management, and job performance tuning.
- Create target schemas, curated tables, and analytics-ready data layers aligned to architectural designs and business requirements.
- Implement and enforce data governance, security, and access controls within Unity Catalog.
- Conduct data profiling, validation, reconciliation, and system integration testing to ensure end-to-end data quality, accuracy, and reliability.
- Serve curated, trusted datasets through Databricks SQL and Power BI datasets to support reporting.
- Own the CI/CD process for Databricks and Azure Data Factory using Azure DevOps Pipelines.
- Monitor, tune, and optimize the data platform for performance and cost.
- Participate in agile delivery as part of the Data & Digital Solutions team.
Requirements
- Bachelor’s degree in computer science, engineering, data science, or a related field, or equivalent practical experience.
- 5–7+ years of experience as a Data Engineer, including designing, implementing, and validating production-grade data pipelines.
- Hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Unity Catalog, and core Azure cloud services.
- Strong proficiency in SQL and PySpark for data transformation and pipeline development.
- Experience implementing data quality checks, reconciliations, and validation processes in complex data environments.
- Experience owning or contributing to CI/CD pipelines for data platforms (Azure DevOps Pipelines preferred).
- Ability to troubleshoot and resolve complex data, pipeline, and performance issues.
- Strong collaboration and communication skills, with the ability to bridge technical and non-technical stakeholders.
- Insurance industry experience (brokerage, policy administration, claims, billing, underwriting, or risk data) preferred but not required.
- Exposure to applying AI or automation within data engineering workflows a plus.
- Exposure to PowerBI is a plus.
- Must be legally authorized to work in the United States.
Skills
- Databricks notebooks
- PySpark
- SQL
- Azure Databricks
- Azure Data Factory
- Delta Lake
- Unity Catalog
- Azure cloud services
- CI/CD
- Azure DevOps Pipelines
- Power BI
Location
- United States
Work Type
- Fully remote
- Periodic in-person attendance may be required
Experience Level
- 5-7+ years
Education Level
- Bachelor’s degree in computer science, engineering, data science, or a related field, or equivalent practical experience
About the Company
- Since 1935, Hylant has been a family‑owned insurance brokerage built on relationships, trust, and a people‑first mindset.
- We believe great work is rooted in understanding people — our clients, our communities, and each other — and delivering thoughtful solutions that rise above the expected.
- Anything But Typical. Everything for You. isn’t just a message; it’s how we show up.
- It reflects a culture where people come first, careers are supported with purpose, and going above and beyond is the standard, not the exception.
- At Hylant, you’re more than an employee, you’re part of a team that treats one another like family and works together to make a meaningful impact.
Equal Opportunity
- Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.