Data Engineer - MS Fabric

Job Overview

Columbus, Ohio client has a contract-to-hire opportunity for a Data Engineer
. Accountable for leading the development and upkeep of robust data management platforms, ensuring their efficient design, data accuracy, and secure accessibility. Responsible for establishing and maintaining appropriate models while guaranteeing consistent naming conventions and calculations across all data repositories in alignment with the organization’s Business Glossary. Facilitates cohesive understanding of terminologies and requirements, ensuring seamless alignment between source systems and data platforms.

• Responsible for the development and maintenance of data management platforms, including file structure, dimensional design of tables, and loading of data from source systems, both internally and externally.
• Ensures consistency in naming and calculations across all data warehouses in alignment with the organization’s Business Glossary.
• Implements and maintains security measures to protect organizational data, including encryption, access control, secure data transfer, auditing, and monitoring.
• Coordinates with data owners, stewards, reviewers, and other stakeholders to ensure consistent understanding of terms and reconciles differences in terminology between source systems and data repositories.
• Leads the design of management platforms to support the needs of consuming applications such as Power BI, Excel, AzureML, Alteryx, and custom code.
• Ensures proper security of data at rest, in motion, and establishes least privilege for user consumption.
• Maintains enough working knowledge of security protocols to converse with architecture, engineering, development, and auditing partners.
• Ensures that all sourcing is coming from an abstraction layer so the source system can be modified with minimal coordination with the warehouse team.
• Maintains a system of data requests and works with IT leadership for prioritization.
• Maintains data management platform standards and guardrails, escalating variances from standards and misuse of systems to IT leadership.
• Completes peer code reviews.
• Responsible for self‑managed upskilling in advanced technologies and deep business knowledge.
• Mentors new team members working on data system or reporting development and citizen developers across the company.
• Maintains clear understanding of client goals and practices proper policies and procedures.

• 5+ years experience in data engineering, data science, or related role.
• Experience with program languages related to data engineering such as Python, R, Azure Data Factory, Databricks, C#, SQL, Hadoop, Kafka, Spark, and Power BI.
• Bachelor’s degree in a computer-related field or equivalent experience.
• Strong written and verbal communication skills, including the ability to read, write, and perform arithmetic calculations.
• Successful completion of a ninety (90) day orientation period.
• Execution of an Employment Agreement.

• Business Acumen: making data‑driven decisions; analyzing and interpreting data; project management.
• Critical Evaluation: analyzing information; systematic problem‑solving; strategic thinking.
• Consultation: providing expertise; developing and implementing solutions; identifying and defining problems; using data to inform decisions; communicating effectively with stakeholders.
• Adaptability: being agile and flexible; adapting to change; openness to learning.
• Scientific Acumen: implementing scientific inquiry and empirical reasoning; identifying trends; applying machine learning; conducting research, analyses, and interpretations.
• Deliberative Decision Making: gathering, considering, and evaluating relevant information; taking an objective approach; making logical conclusions.

Revel IT is an Equal Opportunity Employer. Revel IT does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.