Data Engineer at Hogan Assessment Systems Inc.

Tulsa, Oklahoma, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Pipelines, Data Integration, Data Warehouse Design, Databricks, Python, Data Modeling, Cloud Environments, Data Governance, Technical Documentation, Collaboration, Problem Solving, Data Analysis, CI/CD, Azure, Dynamics CRM

Industry

Business Consulting and Services

Description

Description Hogan Overview Hogan Assessment Systems, an international authority in personality assessment, helps businesses reduce turnover and increase productivity by hiring the right people, developing key talent, and evaluating leadership potential. Available in 50 languages across 180 countries, our portfolio of employee selection, development, and leadership products allow companies to better manage their human resource capital and retain top talent. Summary/Objective As a member of the Hogan Application Technology group working on the Business Data team, you will support organizational decision-making and operations by ensuring the integrity, performance, and accessibility of our business data systems. You will work closely with other members of the team to design, build, and maintain scalable pipelines and infrastructure that connect our operational systems. Essential Functions Develop and maintain data pipelines and processes to integrate data from external/internal systems. Collaborate with our Data Architect to build and optimize our business data warehouse and associated data models. Ensure data accuracy, reliability, and availability through validation, testing, and monitoring processes. Monitor and tune pipeline performance and cost efficiency within our Azure-based environment. Implement and maintain data governance standards, including version control, documentation, and metadata management. Write and maintain clear technical documentation for pipelines, workflows, and infrastructure. Triage incoming requests, estimate effort, prioritize tasks, and communicate timelines and updates. Proactively identify opportunities to improve data quality, performance, and processes. Support data analysis requests from internal customers. Support software architecture teams on visualization approaches and tools for our products. Design, build, and maintain CI/CD pipelines to ensure the automated delivery of data products. Maintain awareness and understanding on industry trends surrounding data management technology and data governance. Please note this description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Our Tech Stack Our environment is built primarily on Microsoft products, including: Azure Databricks Azure SQL Database / SQL Server Azure NoSQL / CosmosDB Dynamics CRM, Business Central, and Power Platform (PowerBI, Power Automate, Power Apps) Custom .NET and C#/Angular applications with REST APIs Source Control with Git using Azure DevOps for CI/CD Requirements Required Knowledge Advanced SQL skills, including query optimization and complex joins. Strong skills in building and maintaining data pipelines and integration processes. Strong understanding of relational and non-relational databases. Experience with designing data solutions using Databricks. Experience with Python for data processing and automation. Experience with data modeling and data warehouse design. Experience in monitoring and optimizing cost and performance in cloud-based environments. Preferred Knowledge Familiarity with Azure cloud data tools and infrastructure. Familiarity working with Microsoft Dynamics CRM and/or Business Central APIs. Familiarity of international privacy laws as they apply to data products. Familiarity with R language or other scripting languages. Soft Skills Strong communication and collaboration skills with colleagues from diverse academic and professional backgrounds, including technical and non-technical team members. Organized and self-directed with the ability to manage multiple projects. Detail-oriented with a focus on data accuracy, system reliability, and documentation quality. A collaborative problem-solver who enjoys continuous learning and process improvement. Experience and Education Requirements 2+ years of professional experience in data engineering or data-focused software development. B.S. or higher in Computer Science or a related technical field, or equivalent experience. Work Environment/Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully meet the essential functions of the job. While performing these duties, the employee is regularly required to talk or hear, frequently required to stand, walk, use hands or finger, handle or feel; reach with hands and arms; lift up to 20 pounds. This position routinely uses standard office equipment. Travel Less than 10% Work Authorization In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document upon hire. Hogan is an EEO/AA/M/F/Vet/Disability Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. To be considered for this role, you must reside in one of the following states: AL, AR, CO, FL, GA, IL, IN, MN, MO, NJ, NC, OK, SC, TX, and WI.

Responsibilities

The Data Engineer will develop and maintain data pipelines and processes to integrate data from various systems while ensuring data accuracy and performance. They will collaborate with the Data Architect to optimize the business data warehouse and support data analysis requests from internal customers.