Ms Fabric Data Engineer

Vaco has a great opportunity for an MS Fabric, Data Engineer for our client in Northern Cincinnati.

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.

***This position requires eligibility for a U.S. security clearance. U.S. citizenship is required in order to obtain the necessary clearance.

Position Summary:

Our client is seeking a hands-on Data Engineer to stand up and scale our 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 we implement our 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.

Key Responsibilities:

Build Modern Analytics Platform

• Enhance 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.

Required Experience & Qualifications

• 2+ years of experience in data engineering, data integration, or enterprise data platform development.
• 2+ 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.

Education

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.

Key Competencies

• 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 an already established data organization

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.

Desired Skills and Experience

MS Fabric, Microsoft Fabric, Azure, Azure Synapse, ERP, Enterprise Resource planning, manufacturing, Security clearance, Fabric Implementation, data ingestion, data engineering, data engineer, ELT, ETL, Azure Data Factory, Azure SQL, Azure Data Lake, data lake, lakehouse, data warehouse, data warehousing, datawarehouse, lake house, datalake, implementations, implemented

Equal Opportunity Notice

Highspring LLC (d/b/a Vaco by Highspring) and its parents, affiliates, and subsidiaries (\"we,\" \"our,\" or \"Vaco by Highspring\") are committed to the full inclusion of all qualified individuals and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by applicable law. The company is also committed to ensuring that persons who need them are provided with reasonable accommodations; if an accommodation is needed to participate in the job application or interview process, please contact .

Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.

Representation Notice

By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. Additionally, you agree to be included in our talent pool for future hiring for similarly qualified positions. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. Lastly, you agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.

For residents of Ontario, Canada only: to the extent the position for employment is not with Highspring or not otherwise noted as vacant above, candidate should be informed that this role is to replace a presently employed person at Vaco by Highspring's client.

Privacy Notice

Vaco by Highspring respects your privacy and are committed to providing transparent notice of our policies.

• California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
• Virginia residents may access our state specific policies here.
• Residents of all other states may access our policies here.
• Canadian residents may access our policies in English here and in French here.
• Residents of countries governed by GDPR and UK GDPR may access our policies here.

Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here ( ). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring.

Pay Transparency Notice

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

· the individual's skill sets, experience and training;

· licensure and certification requirements;

· office location and other geographic considerations; and

· other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. xywuqvp The individual may also be eligible for discretionary bonuses and/or participation in medical, dental, and vision benefits as well as the company's retirement plan (or similar retirement benefits).