Salesforce Developer
Role details
Job location
Tech stack
Job description
Pipelines Operations Leadership Governance Databricks Scalability Communication Data Modeling Data Migration Data Ingestion Guidewire Data Microsoft Azure Data Structures Data Governance Microsoft Access Azure Databricks Data Warehousing Data Engineering Data Architecture Influencing Skills Business Valuation Casualty Insurance Data Transformation Business Requirements Full Stack Development Artificial Intelligence Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Influencing Without Authority, We are seeking an experienced Senior Data Engineer to help drive a major enterprise data transformation initiative. This role will play a critical part in building a modern, scalable data platform that enables the organization to own and manage its data ecosystem end-to-end.
As the company continues to modernize its technology landscape, you will help replace a legacy vendor-supported Guidewire data environment with a new in-house data solution built on Snowflake, Azure, and Databricks. This is an opportunity to influence architecture, establish engineering standards, and create a trusted foundation for enterprise reporting and analytics.
Working closely with business stakeholders, data leadership, and architecture teams, you will help design solutions that improve data accessibility, governance, integrity, and operational transparency across the organization.
Key Project Initiatives
- Lead the design and development of a new enterprise data platform in Snowflake
- Support the replacement of Guidewire DHIC with an internally managed data solution
- Modernize data ingestion and transformation pipelines utilizing Azure and Databricks
- Establish scalable data architecture and engineering standards
- Improve enterprise reporting capabilities through trusted, audit-ready data
- Drive data governance, quality, lineage, and integrity initiatives
- Build processes that enable business users to easily access and consume critical data assets
- Partner with technical and business teams to define optimal data structures, storage layers, and ingestion strategies, * Design, develop, and optimize enterprise data solutions using Snowflake, Azure, SQL, and Databricks
- Build and maintain scalable ETL/ELT pipelines supporting enterprise reporting and analytics
- Evaluate and recommend architectural approaches, tools, and technologies
- Define best practices for data modeling, governance, and platform scalability
- Collaborate with stakeholders to understand reporting and data consumption requirements
- Support data migration, integration, and modernization efforts
- Ensure data solutions are reliable, secure, auditable, and performant
- Mentor junior engineers and contribute to a growing data engineering function
- Translate complex business requirements into effective technical solutions, Pipelines Operations Leadership Governance Databricks Scalability Communication Data Modeling Data Migration Data Ingestion Guidewire Data Microsoft Azure Data Structures Data Governance Microsoft Access Azure Databricks Data Warehousing Data Engineering Data Architecture Influencing Skills Business Valuation Casualty Insurance Data Transformation Business Requirements Full Stack Development Artificial Intelligence Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Influencing Without Authority +0
Requirements
- Master's Degree required
- Extensive experience with SQL development and performance optimization
- Strong hands-on experience with Microsoft Azure cloud technologies
- Proven experience building data solutions in Databricks
- Deep expertise designing and implementing Snowflake-based data platforms
- Experience architecting scalable enterprise data environments
- Ability to communicate effectively with technical teams, business stakeholders, and leadership
- Experience establishing data governance, integrity, and quality frameworks
- Strong understanding of data warehousing concepts and modern data architecture, * Property & Casualty Insurance industry experience
- Guidewire ecosystem experience
- Experience with Kafka
- Experience with Apache Spark
- Familiarity with large-scale data modernization initiatives
- Experience working closely with enterprise architects and business leaders
Benefits & conditions
- Hybrid work environment
- Standard schedule of 8:30 AM to 4:30 PM CST, Monday through Friday
- Collaborative and casual team culture
- Opportunity to work directly with leadership and play a strategic role in the organization's data roadmap
- Candidates must be located within driving distance of South Sioux City, NE for occasional team meetings or events
Why Join?
This role offers the opportunity to make a lasting impact on a large-scale data transformation effort. You will help shape the future of data engineering within the organization, influence technology decisions, and serve as a strategic contributor to a growing modern data platform built on Azure, Databricks, and Snowflake. Working on a lean, highly visible team, you'll have direct input into architecture, governance, and long-term enterprise data strategy. Job Type & Location
This is a Contract position based out of South Sioux City, NE. Pay and Benefits
The pay range for this position is $65.00 - $80.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type