OUC - The Reliable One, is presently seeking an Associate Data Engineer– Cloud & Data Modeling to join the Transformation division. At OUC, we don’t just work – we’re building a bright future of innovation and transformation for future generations.

We’re looking for a curious and motivated data engineering professional ready to launch their career. In this entry-level role, you’ll collaborate with seasoned data engineers to develop and maintain ETL/ELT pipelines, support both cloud-based and on-premises data platforms, and ensure data is clean, accessible, and optimized for analytics, reporting, and machine learning.

You’ll gain hands-on experience with tools such as SQL, Python, Snowflake, AWS S3, and Azure, while learning to convert raw data into structured, actionable insights. This is an excellent opportunity to expand your technical skills in a supportive environment and contribute to impactful data solutions that inform decision-making across the organization.

OUC’s mission is to provide exceptional value to our customers and community by delivering sustainable and reliable services and solutions. Click here to learn more about what we do.

The ideal candidate will have:

• Bachelor’s Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics, or a related field of study from an accredited college or university. In lieu of a degree, equivalent combination of education, certifications, and experience may be substitutable on a 1:1 basis;
• Master’s Degree in Data Engineering, Information Systems, Computer Science, Mathematics or Statistics, or a related field of study from an accredited college or university (preferred).
• Minimum of (6) months of experience in SQL or Python programming, ETL/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting.
• Certifications (Preferred):
  • SnowPro® Advanced: Data Engineer
  • Databricks Certified Data Engineer
  • IBM Certified Data Engineer – Cognos Analytics; IBM Data Engineering Professional Certificate (Coursera)
  • Cloudera Certified Professional (CCP) Data Engineer
  • Google Cloud Professional Database Engineer
  • Microsoft Azure Data Engineer Associate
  • Snowflake SnowPro Certification
  • SnowPro® Associate: Platform Certification; SnowPro® Core Certification; SnowPro® Specialty: Snowpark; SnowPro® Specialty: Native Apps; SnowPro® Advanced: Architect
  • IBM Certified Solution Architect – Cloud Pak for Data
  • AWS Certified Data Analytics; AWS Certified Solutions Architect – Professional
  • Microsoft Certified: Azure Solutions Architect Expert
  • TOGAF 9 Certification
  • Google Data Engineering Professional Certificate
  • Oracle Certified Professional or MySQL Database Administrator
  • Coursera/Udemy Data Engineering Bootcamps
  • Zachman Certified Enterprise Architect

OUC offers a very competitive compensation and benefits package. Our Total Rewards package includes, to cite a few:

Competitive compensation

• Low-cost medical, dental, and vision benefits and paid life insurance premiums with no probationary period. Retirement benefits include a cash balance account with employer matching along with a health reimbursement account
• Paid vacation, holidays, and sick time
• Paid parental leave
• Educational and Professional assistance programs; Paid Memberships in Professional Associations
• Access to workout facilities at each location 
• Paid Conference and Training Opportunities
• Hybrid work schedule

Click here to view our Benefits Summary.

Salary Range: $68,000.00 - $85,000.00 annually commensurate with experience.

Location: 3800 Gardenia Ave., Orlando, FL 32839

This entry-level role supports ETL/ELT processes, data modeling, and multidimensional data models, ensuring efficient data processing and infrastructure for analytics and reporting, business intelligence, and operational decision-making. Assists in designing, implementing, and optimizing data pipelines, integrations, and storage solutions across both on-premises and cloud environments.

Works with guidance of data engineers and other experienced technical staff and, collaborates with various IT teams, to assist in optimizing data workflows, troubleshooting performance issues, and maintaining scalable architectures for structured and unstructured data, supporting efficient data processing, storage, and retrieval.

Primary Functions:

• Data Engineering & Integration
  • Assist in the development and maintenance of ETL/ELT pipelines for efficient data extraction, transformation, and loading.
  • Support data modeling using foundational principles and methodologies to structure data for analytics and reporting.
  • Support integration between on-premises and cloud-based storage solutions.
  • Ensure data accessibility for business intelligence (BI), analytics, and operational decision- making.
• Data Warehousing & Cloud Infrastructure
  • Support the development and management of hybrid cloud and on-prem data storage solutions.
  • Support the design and optimization of multidimensional data models for reporting and analytics.
  • Assist in implementing star and snowflake schemas to improve analytical performance.
  • Utilize data visualization and business intelligence tools to integrate to structure data for decision-making processes.
• Problem-Solving, Query Auditing, Optimization & Quality Assurance (QA)
  • Review and audit routine SQL queries and ETL pipelines to ensure efficiency and adherence to best practices.
  • Assist in code reviews for data scripts and ensure data integrity in transformations.
  • Conduct troubleshooting for routine data inconsistencies and optimize data pipelines for high-performance analytics and pipeline execution times improvements.
  • Collaborate with data scientists, analysts, and IT teams to deliver reliable data solutions.
  • Identify opportunities for automation and performance improvement.
• General
  • Apply data governance best practices, including security, privacy, and compliance.
  • Adhere to ethical guidelines and legal regulations governing the collection and use of open- source intelligence data;
  • Maintain security and confidentiality of sensitive information and data;
  • Perform other duties as assigned.

• Programming & Query Optimization: Confirmed knowledge of SQL or Python
• ETL/ELT Tools: Knowledge or exposure to tools like: Talend, DataIku, Alteryx, Snowpipes,
• Azure, SSIS
• Data Warehousing & Cloud: Knowledge or exposure to: Snowflake, Databricks, Azure, AWS S3, Oracle databases, relational databases like MySQL.
• Data Modeling & Architecture:
  • Methodologies, Inmon, Kimball, Data Vault
  • Programs: DataIKU, Alteryx, Cognos Analytics, IBM Framework, PowerBI, dbeaver, etc.
• Data Security & Governance: knowledge of: Role-based access control, encryption practices, data lineage, data governance, data management
• Visualization & Reporting: Competency in Power BI, Tableau, or equivalent tools.
• Strong critical thinking and problem-solving capabilities.
• Ability to effectively communicate insights to non-technical stakeholders.
• Team collaboration skills and experience working with cross-functional teams.
• Business acumen with a curiosity for data-driven decision-making.
• Ability to rapidly learn and adapt to evolving analytics and reporting tools.

• Bachelor’s Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics, or a related field of study from an accredited college or university. In lieu of a degree, equivalent combination of education, certifications, and experience may be substitutable on a 1:1 basis;
• Master’s Degree in Data Engineering, Information Systems, Computer Science, Mathematics or Statistics, or a related field of study from an accredited college or university (preferred).
• Minimum of (6) months of experience in SQL or Python programming, ETL/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting.
• Certifications (Preferred):
  • SnowPro® Advanced: Data Engineer
  • Databricks Certified Data Engineer
  • IBM Certified Data Engineer – Cognos Analytics; IBM Data Engineering Professional Certificate (Coursera)
  • Cloudera Certified Professional (CCP) Data Engineer
  • Google Cloud Professional Database Engineer
  • Microsoft Azure Data Engineer Associate
  • Snowflake SnowPro Certification
  • SnowPro® Associate: Platform Certification; SnowPro® Core Certification; SnowPro® Specialty: Snowpark; SnowPro® Specialty: Native Apps; SnowPro® Advanced: Architect
  • IBM Certified Solution Architect – Cloud Pak for Data
  • AWS Certified Data Analytics; AWS Certified Solutions Architect – Professional
  • Microsoft Certified: Azure Solutions Architect Expert
  • TOGAF 9 Certification
  • Google Data Engineering Professional Certificate
  • Oracle Certified Professional or MySQL Database Administrator
  • Coursera/Udemy Data Engineering Bootcamps
  • Zachman Certified Enterprise Architect

This job is absent of disagreeable working conditions. This job is performed in an office work environment. 

This job consists of speaking, hearing, reading, typing and writing. This job requires frequent sitting, occasional standing and walking and may require lifting up to twenty (20) lbs., bending/ stooping, reaching over head.

OUC–The Reliable One is an Equal Opportunity Employer who is committed through responsible management policies to recruit, hire, promote, train, transfer, compensate, and administer all other personnel actions without regard to race, color, ethnicity, national origin, age, religion, disability, marital status, gender, sexual orientation, gender identity or expression, genetic information and any other factor prohibited under applicable federal, state, and local civil rights laws, rules, and regulations.

EOE M/F/Vets/Disabled