Data Modeler

Insight Global; Portland (OR); On-site; USD 120,000 - 165,000; Full time

Job summary

Insight Global is seeking a senior Data Engineer to join our Enterprise Data and Analytics team supporting key integrations with customers' Workday platforms. The role focuses on building external API integrations to streamline benefits, enrollment, leave management and insurance workflows, expanding the customer base and data-driven insights.

You will work with Databricks, Fivetran, and Confluent to design base blueprints for entities, dimensions and facts, mentor engineers, and partner with

Qualifications

• Bachelor's degree in CS, Engineering, or related field or equivalent senior-level experience.
• Experience as a senior data engineer with data modeling and API integrations.
• Experience with Databricks and Workday integrations via connectors.
• Experience with ingestion tools like Fivetran and Confluent for real-time and batch data.

Responsibilities

• Lead data engineering efforts to connect customer Workday instances via external APIs.
• Partner with Architects and Principal Engineers to blueprint entities, dimensions, and facts.
• Support ingestion, implementation, and operation work to scale Workday programs.
• Collaborate across teams and across time zones within PST-hours alignment.

Skills

Senior data engineering experience

AI engineering & tooling

Prompt engineering in AI

Strong communication and self starter

Workday API integration experience

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Databricks

Fivetran

Confluent / Kafka

Workday Data Cloud / connectors

Unity Catalog

Workday API

Job description

Job Description

An insurance client in the PNW is looking for a Data Engineer to join their team to support a top priority for the business. The team is building external API integrations to connect with their customers' Workday instances. This will create streamlined workflows for employee benefits, enrollment, leave management, and insurance, increasing the customer base for the company. The team is looking for a Data Engineer, with modeling experience, to join the Enterprise Data and Analytics team. The primary goal of this team is to partner with the customer integration team to connect to the customer's platform and scale the Workday programs. This includes moving to APIs, implementation and operation work, and ensuring proper data ingestion.

The core technology includes Databricks, Fivetran, and Confluent / Kafka. This person must have senior level engineering experience but also guide the team / create base level blueprint surrounding entities, dimensions, and facts. This person will partner with Architects, Principal Engineers, and the engineering teams. Expectation are to be a self-starter, driven, and partner well across the business to deliver within project timelines. This team sits nationwide and works core PST hours.

Skills and Requirements

• Bachelor's degree in Computer Science, Engineering, or related field or senior level work experience in required field
• Senior level data engineering experience
• Experience with Databricks, specifically integrating with Workday with either Workday Reports Connector, Workday HCM Connector, Workday Data Cloud, Unity Catalog, or another connector
• Experience with prompt engineering in AI, ability to utilize AI and continue implementing new AI development tools
• Experience with ingestion tools such as Fivetran and Confluent for near real time and batch data ingestion
• Strong communication and self starter, must work well with driving initiatives forward with peer engineers and architects
• AI engineering background and understanding
• Workday API integration experience as a Data Engineer

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].