Senior Data Engineer: Lakehouse & AI Pipelines

Fortegra

Jacksonville (FL)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Medical, dental, vision benefits
401(k) plan

Job summary

Fortegra seeks a Senior Data Engineer to modernize data platforms and build scalable pipelines on Azure and Databricks. You will architect lakehouse solutions, governance, and AI-assisted automation, driving data quality across the organization.

Join a high-performing team delivering mission-critical analytics, data products, and scalable data flows. Candidates should have deep technical expertise and strong communication skills.

Qualifications

  • B.S. in Computer Science, Engineering, or equivalent; advanced degree a plus.
  • Minimum 8 years of hands-on data engineering experience.
  • Expert-level Databricks, Spark/PySpark, Delta Lake, Unity Catalog, Delta Live Tables, and cost optimization.
  • Proficiency with Azure data stack: ADLS Gen2, Synapse, Event Hubs, Key Vault, Functions.
  • Strong data warehousing concepts and dimensional modeling experience.

Responsibilities

  • Architect, design, develop, and own high-performance batch and streaming data pipelines and RESTful APIs.
  • Lead lakehouse solutions on Databricks and Spark optimization.
  • Build ingestion/transformation workflows using ADF, Databricks Workflows, and dbt.
  • Design enterprise data warehouse models using star schemas and conformed dimensions.
  • Integrate data from internal and third‑party systems via RESTful APIs.
  • Apply AI platforms to accelerate development and automate data quality checks.
  • Establish CI/CD pipelines and IaC for data workloads with GitHub Actions or Azure DevOps.
  • Mentor engineers, conduct code reviews, and enforce engineering standards.

Skills

Databricks
Python
SQL
RESTful APIs
Azure
CI/CD
Terraform
Spark

Education

B.S. in Computer Science or equivalent

Tools

Databricks
Azure Data Factory
dbt
Unity Catalog
Delta Lake
Delta Live Tables

Job description

Fortegra seeks a Senior Data Engineer to modernize data platforms and build scalable pipelines on Azure and Databricks. You will architect lakehouse solutions, governance, and AI-assisted automation, driving data quality across the organization.

Join a high-performing team delivering mission-critical analytics, data products, and scalable data flows. Candidates should have deep technical expertise and strong communication skills.

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