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Data Engineer

Slide Insurance Holdings - Tampa

Posted Jun 4, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source
Seniority
Mid From the posting source

Schedule

Shift type
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Weekend work
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Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer Tampa 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! As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business teams to deliver reliable data for reporting, analytics, and operational decision-making. What You'll Do Build Data Pipelines Build and maintain ETL/ELT pipelines using Azure Data Factory and Databricks . Develop PySpark and Spark SQL workloads to ingest, transform, and publish enterprise data. Implement Delta Lake tables using a layered lakehouse architecture. Optimize and Scale Data Solutions Design scalable data models and processing frameworks for batch and incremental workloads. Optimize Spark workloads, SQL queries, and storage solutions for performance and cost efficiency. Implement data quality, monitoring, and observability practices across the platform. Support Data Operations Monitor, troubleshoot, and support production data pipelines. Partner with analytics and business teams to deliver trusted, analytics-ready datasets. Contribute to data engineering standards, governance, and platform improvements. What You Bring Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent experience 3+ years of Data Engineering experience in the Property & Casualty (P&C) insurance industry. Hands-on experience building and supporting ETL/ELT pipelines using Azure Data Factory and Databricks . Strong SQL skills,

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