Slideinsurance~1mo ago

Data Engineer

United States·Tampa,Tampamid

Data EngineeringData EngineerDataData & AI

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Quick Summary

Overview

Slide Insurance - Fun. Innovation Driven. Fueled by Passion, Purpose and Technology. At Slide, you will not only be part of a successful team, but you will also be a part of our Slide Vibe/award winning culture where collaboration and innovation are expected, recognized and awarded!

Key Responsibilities

Data Engineering & Pipelines Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks Develop and optimize Databricks notebooks and jobs using PySpark and Spark SQL Implement and manage Delta Lake tables…

Requirements Summary

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent experience 3–5 years of experience building and supporting production data pipelines Hands‑on experience with Azure Databricks , PySpark , and Spark SQL…

Technical Tools

azurepower-bisparksqlagileci-cdetl

At Slide, you will not only be part of a successful team, but you will also be a part of our Slide Vibe/award winning culture where collaboration and innovation are expected, recognized and awarded!

As a Data Engineer, you’ll design and deliver scalable, analytics‑ready data solutions that support reporting, insights, and decision‑making across the organization. You’ll partner closely with analytics and business teams while helping evolve Slide’s modern data platform.

Responsibilities

~1 min read

Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks
Develop and optimize Databricks notebooks and jobs using PySpark and Spark SQL
Implement and manage Delta Lake tables across raw, processed, and curated layers
Build robust ETL/ELT pipelines to ingest and transform data from internal and external sources

Apply data cleansing, transformation, and standardization logic
Optimize Spark jobs for performance, scalability, and cost efficiency
Monitor, troubleshoot, and resolve production pipeline issues
Implement data quality checks, logging, and error handling to ensure reliability

Partner with analysts and business teams to deliver analytics‑ready datasets
Support reporting and analytics use cases, including Power BI
Contribute to data engineering standards, best practices, and documentation
Support CI/CD practices and Agile delivery environments

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent experience
3–5 years of experience building and supporting production data pipelines
Hands‑on experience with Azure Databricks, PySpark, and Spark SQL
Strong SQL skills for large‑scale data processing and optimization
Experience with Azure Data Factory, ETL/ELT frameworks, and lakehouse architectures
Familiarity with Delta Lake, Azure Data Lake Storage, and cloud data platforms
Experience working with large, complex datasets in production environments
Exposure to CI/CD practices, source control (Azure DevOps/Git), and data governance concepts
Strong analytical and problem‑solving skills with the ability to work across technical and business teams
Experience in P&C insurance or high‑volume transactional environments is a plus
Alignment with Slide’s Core Values and collaborative culture