What are the responsibilities and job description for the Data Engineer, Azure Data Platform / Fabric position at Vernovis?
Job Title: Data Engineer, Azure Data Platform / Fabric
Location: Cincinnati OH (Onsite)
Who We Are:
Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest.
Come join us:
Vernovis is looking for a Data Engineer to stand up and scale our client’s enterprise Azure data platform and Microsoft Fabric environment in support of a major business integration and analytics transformation initiative. This role will be central to unifying data across two legacy operating companies as they implement their future ERP systems. The Data Engineer will design, build, and support the pipelines, data structures, quality controls, security model, and semantic layers needed to deliver trusted executive KPI reporting, cross-functional analytics, and future AI-enabled business insights.
The environment includes multiple enterprise business platforms across manufacturing, service, supply chain, sales, and finance. This is not a report developer role. This is a platform building role for a technically strong engineer who can work across systems, business functions, and data domains. This role is critical to creating a single, trusted data foundation across the business. The Data Engineer will help move the organization from fragmented, manually maintained reporting toward a governed, scalable platform that supports executive decision-making, self-service analytics, and future AI-enabled insight generation.
What You'll Do:
Vernovis does not accept inquiries from Corp to Corp recruiting companies. Applicants must be currently authorized to work in the United States on a full-time basis Vernovis offers Health, Dental, Vision, Voluntary Short & Long -Term Disability, Voluntary Life Insurance, and 401K.
Vernovis does not accept inquiries from Corp to Corp recruiting companies. Applicants must be currently authorized to work in the United States on a full-time basis and not violate any immigration or discrimination laws.
Vernovis provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://vernovis.com/privacy-policy-2/.
Location: Cincinnati OH (Onsite)
Who We Are:
Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest.
Come join us:
Vernovis is looking for a Data Engineer to stand up and scale our client’s enterprise Azure data platform and Microsoft Fabric environment in support of a major business integration and analytics transformation initiative. This role will be central to unifying data across two legacy operating companies as they implement their future ERP systems. The Data Engineer will design, build, and support the pipelines, data structures, quality controls, security model, and semantic layers needed to deliver trusted executive KPI reporting, cross-functional analytics, and future AI-enabled business insights.
The environment includes multiple enterprise business platforms across manufacturing, service, supply chain, sales, and finance. This is not a report developer role. This is a platform building role for a technically strong engineer who can work across systems, business functions, and data domains. This role is critical to creating a single, trusted data foundation across the business. The Data Engineer will help move the organization from fragmented, manually maintained reporting toward a governed, scalable platform that supports executive decision-making, self-service analytics, and future AI-enabled insight generation.
What You'll Do:
- Design and implement the enterprise data platform architecture using Azure and Microsoft Fabric, including data ingestion, storage, transformation, modeling, and governed delivery patterns.
- Build and maintain robust automated pipelines from business applications, supplier/customer portals, and operational databases into a unified data environment.
- Establish raw, curated, and business-ready data layers to support repeatable analytics, executive dashboards, and self-service reporting.
- Integrate and normalize data from Epicor, JobBOSS, SAP ECC, Salesforce, Azure SQL, and other internal and external business systems.
- Create reusable data models, dimensions, facts, and business logic to support quote-to-cash, procure-to-pay, inventory, manufacturing, service, finance, and KPI reporting.
- Implement data quality checks, exception handling, reconciliation routines, and monitoring to improve trust in reporting and reduce manual work.
- Support Power BI delivery through governed semantic models, dataset optimization, security configuration, and drill-through to transaction-level source data.
- Help define and implement role-based access, row-level security, object-level security, and workspace governance aligned to company policy and regional privacy requirements.
- Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards.
- Evaluate the current integration landscape, including manual feeds, direct SQL access, and middleware processes, and help transition the organization to more controlled and scalable patterns.
- 5 years of experience in data engineering, data integration, or enterprise data platform development.
- 4 years of hands-on experience with Azure data services such as Azure Data Factory, Azure SQL, Azure Data Lake, Microsoft Fabric, Synapse, or closely related Microsoft data technologies.
- Strong SQL development skills and experience optimizing complex data transformations.
- Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in modern data engineering.
- Experience designing and implementing data lake, lakehouse, or data warehouse solutions.
- Strong understanding of dimensional modeling, semantic modeling, and data structures used for reporting and analytics.
- Experience building and supporting ETL/ELT pipelines across multiple source systems.
- Experience with Power BI datasets/semantic models and the data engineering practices that support governed reporting environments.
- Experience with data quality, reconciliation, lineage, and documentation practices.
- Ability to work in a fast-moving environment where source data, requirements, and processes are still maturing.
- Strong communication skills and the ability to work directly with both technical teams and business leaders.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field is preferred. Equivalent practical experience in enterprise data engineering will also be considered.
- Strong engineering discipline and attention to data accuracy
- Ability to structure ambiguous problems into practical technical solutions
- Business-facing communication and stakeholder management
- Systems thinking across data, process, and platform layers
- Ownership mindset and follow-through
- Comfort operating in a hands-on build environment rather than a fully mature data organization
Vernovis does not accept inquiries from Corp to Corp recruiting companies. Applicants must be currently authorized to work in the United States on a full-time basis Vernovis offers Health, Dental, Vision, Voluntary Short & Long -Term Disability, Voluntary Life Insurance, and 401K.
Vernovis does not accept inquiries from Corp to Corp recruiting companies. Applicants must be currently authorized to work in the United States on a full-time basis and not violate any immigration or discrimination laws.
Vernovis provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://vernovis.com/privacy-policy-2/.