Data Fabric

Data Fabric Engineer Jobs

3 jobs found

Today

Data Engineer (Fabric)

Vaco LLC Cincinnati, OH

Cincinnati, OH

Today

$95k - $125k/yr Full time Analytics Automation Developer Azure Data Platform

Apply Now

Job Description

Vaco LLC is hiring a Data Engineer to build end-to-end analytics solutions in Microsoft Fabric, focused on trusted semantic models, KPIs, dashboards, and self-service reporting.

Responsibilities

Design, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.
Partner with business stakeholders to gather requirements and translate them into reporting solutions.
Create intuitive, visually compelling dashboards that support decision making.
Develop and maintain KPI definitions, calculations, and business metrics.
Optimize report performance, usability, and adoption.
Implement row-level security (RLS), object-level security (OLS), and align with data governance standards.
Support self-service analytics using certified datasets and reusable semantic models.
Perform report testing, validation, and user acceptance activities.
Design and maintain scalable Power BI semantic models using dimensional modeling best practices.
Build star schemas including fact tables, dimensions, hierarchies, measures, and calculation groups.
Create complex DAX measures and reusable business logic.
Standardize and govern enterprise metrics to ensure consistency across reporting assets.
Promote dataset reuse to reduce duplication of business logic.
Support deployment pipelines and lifecycle management for analytics solutions.
Build and maintain Fabric Dataflows Gen2, Data Pipelines, Lakehouses, and Warehouses.
Develop ELT/ETL processes to ingest data from ERP, POS, operational systems, APIs, and cloud sources.
Implement medallion architecture principles with Bronze, Silver, and Gold data layers.
Optimize data refresh, transformation, and storage performance.
Support data quality, lineage, metadata, and governance initiatives.
Collaborate with platform administration and infrastructure teams on Fabric best practices.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Analytics, Data Science, or related field (or equivalent work experience).
4+ years of Power BI development experience.
Microsoft Fabric experience (or equivalent Azure Data Platform experience).
Experience with multi-location retail, including familiarity with convenience stores and quick service restaurants (preferred), with exposure to point-of-sale (POS), sales, inventory, pricing, promotions, loyalty, and store operations data.

Technologies

Power BI
DAX
Microsoft Fabric
Azure Data Platform
Fabric Dataflows Gen2
Data Pipelines
Lakehouses
Warehouses
ELT/ETL
ERP
POS
APIs

Location: Cincinnati, OH (onsite)

Compensation: USD 95,000 - 125,000 per year

Minimum Experience: 4 years

View full job page →

3d ago

Senior Data Engineer – Microsoft Fabric & Healthcare Integrations

Quantum Pain & Sports Medicine Irving, TX

Irving, TX

3d ago

$125k - $150k/yr Full time Senior Analytics Automation Developer

Apply Now

Job Description

Lead the build and operations of a centralized Microsoft Fabric data platform that integrates healthcare and business systems into trusted analytics-ready datasets.

Responsibilities

Design and implement the Microsoft Fabric data architecture using OneLake, Lakehouse/Warehouse, Data Factory pipelines, notebooks, and related Fabric capabilities
Build and maintain ingestion pipelines pulling data from eClinicalWorks, HubSpot, REST APIs, FHIR APIs, webhooks, batch exports, and other future enterprise systems
Extract source-system data reliably using integration patterns that handle API authentication, pagination, rate limits, schema changes, malformed records, and pipeline failures
Establish raw, validated, and analytics-ready layers using a medallion-style approach
Clean, standardize, deduplicate, and reconcile data across systems
Develop data models for patients, referrals, appointments, providers, procedures, cases, outcomes, and other operational entities
Implement cross-system matching when identifiers are inconsistent or unavailable, including concepts aligned to Master Patient Index
Create reusable curated datasets that support Power BI reporting, operational analytics, automation, and future AI applications
Implement incremental loading, change detection, schema management, error handling, logging, alerting, and pipeline monitoring
Set up data quality checks to flag incomplete, inconsistent, or unexpected source data
Apply appropriate security, access controls, and governance practices for healthcare data, aligned with healthcare integration needs
Use Git with CI/CD so pipelines and transformations are version-controlled, documented, and maintainable
Monitor Fabric usage, performance, capacity, and cost as the platform scales
Document architecture, data definitions, pipeline workflows, dependencies, and operating procedures
Maintain and improve the platform post-launch to add sources and use cases without treating the work as a one-time migration
Assess current systems, data sources, reporting requirements, and the Microsoft environment; design and configure the initial Microsoft Fabric foundation
Establish secure and reliable ingestion specifically from HubSpot and eClinicalWorks

Requirements

4+ years of professional data engineering, data platform, or data integration experience
Hands-on experience building production solutions with Microsoft Fabric or a closely related Azure data stack
Strong SQL skills
Strong Python and/or PySpark skills
Experience designing ETL/ELT pipelines and data ingestion frameworks
Experience with Microsoft Fabric Lakehouse, OneLake, Data Factory/Pipelines, notebooks, Delta tables, or equivalent technologies
Experience integrating third-party systems through REST APIs
Experience implementing incremental data loads (not only full refreshes)
Strong understanding of dimensional modeling, relational modeling, lakehouse architecture, and analytics-oriented data modeling
Troubleshooting experience across API and ingestion failure modes: authentication, pagination, rate limits, schema changes, malformed records, and pipeline failures
Experience with Git, source control, and CI/CD practices
Experience implementing monitoring, logging, data-quality validation, and alerting for production pipelines
Ability to work independently and make practical architectural decisions while the data platform is still being built
Healthcare experience is strongly preferred

Technology Focus

Microsoft Fabric, OneLake, Lakehouse, Warehouse
Data Factory, Pipelines, Notebooks, Delta tables
REST APIs, FHIR APIs, Webhooks
Python, PySpark
Git, CI/CD, Power BI
eClinicalWorks, HubSpot, FHIR, HL7
Microsoft Entra ID, Azure security, Microsoft Purview
Master Patient Index

Benefits

401(k) and 401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Healthcare / Integration Experience (Preferred)

Healthcare EHR/EMR data
eClinicalWorks
FHIR / HL7
Healthcare operational or clinical data models
HIPAA-regulated data environments
Patient identity matching or Master Patient Index concepts
HubSpot APIs and CRM data
Microsoft Entra ID and Azure security
Microsoft Purview or other data governance tools
Power BI semantic models
Direct eClinicalWorks experience is a major plus but not required if you have strong healthcare API/FHIR integration experience

Compensation / Location / Employment Details

Location: Irving, TX (onsite)
Employment Type: Full-Time
Work Arrangement: In-Office
Compensation: $125,000–$150,000 per year depending on experience
Pay: $125,000.00–$150,000.00 per year
Work Location: In person

What This Role Is Not

Not a Power BI developer role with occasional data engineering responsibilities
Power BI knowledge is useful, but the primary responsibility is building the data infrastructure beneath reporting, analytics, automation, and AI applications

View full job page →

9d ago

Data Engineer / Metadata Engineer

Omniscius Consulting Arlington, VA

Arlington, VA

9d ago

Full time Azure Data Engineer Big Data Cloud Data Engineering

Apply Now

Job Description

Omniscius Consulting is seeking a Data Engineer / Metadata Engineer to support enterprise analytics and data management efforts from an Arlington, VA onsite location. In this role, you will design and optimize data pipelines alongside the metadata repositories and governance capabilities that enable discovery, lineage, cataloging, and reliable decision-making.

Role Summary

You will be responsible for building and maintaining scalable data engineering solutions, including ETL/ELT processes, data integration, and cloud-native platform components. A key focus is creating and sustaining metadata management systems that improve data quality, discoverability, and consistency across enterprise environments.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Integrate data from multiple structured and unstructured sources into enterprise data platforms.
Integrate and correlate datasets both internal and external to the customer organization.
Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
Ensure data pipelines meet performance, reliability, and scalability requirements.
Implement automation and monitoring for data ingestion and processing workflows.
Design and maintain enterprise metadata repositories and data catalogs.
Define and manage business, technical, and operational metadata standards.
Develop processes for automated metadata collection, classification, and enrichment.
Maintain metadata lineage and impact analysis capabilities across data assets.
Ensure metadata consistency and accuracy across enterprise systems.
Support enterprise data governance initiatives and best practices.
Partner with business and technical stakeholders to define data ownership and stewardship models.
Implement data quality monitoring and validation controls.
Ensure compliance with organizational data policies and regulatory requirements.
Support master data management (MDM) and reference data initiatives.
Develop and support cloud-native data solutions within Azure, AWS, or Google Cloud environments.
Build and optimize data integration solutions using cloud services and modern data tools.
Support enterprise analytics, AI/ML, business intelligence workloads, and assist with automation-first pipelines.
Contribute to infrastructure-as-code and data platform automation efforts.
Work closely with data architects, analysts, data scientists, governance teams, and business stakeholders.
Translate business requirements into data engineering and metadata management solutions.
Support data discovery, self-service analytics, and data literacy initiatives.
Document system designs, data flows, metadata models, and operational procedures.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
3-7 years of experience in data engineering, metadata management, or related data platform roles.
Experience building and maintaining ETL/ELT pipelines.
Strong SQL development and database management skills.
Experience with data warehousing and large-scale data processing.
Understanding of metadata management, data lineage, and data catalog concepts.
Strong problem-solving, analytical, and communication skills.
Active Top Secret (TS) clearance.

Technologies

SQL; ETL/ELT
Azure, AWS, Google Cloud
Microsoft Purview; Collibra; Alation; Informatica EDC; Apache Atlas
Data Governance Frameworks; Data Quality Management; Master Data Management (MDM)
Data Modeling; Data Mesh and Data Fabric

Preferred Qualifications

Experience with enterprise data catalog platforms such as Microsoft Purview.
Experience with enterprise data catalog platforms such as Collibra.
Experience with enterprise data catalog platforms such as Alation.
Experience with enterprise data catalog platforms such as Informatica EDC.
Experience with enterprise data catalog platforms such as Apache Atlas.
Experience with cloud platforms: Microsoft Azure.
Experience with cloud platforms: AWS.
Experience with cloud platforms: Google Cloud Platform.
Familiarity with Data Governance Frameworks.
Familiarity with Data Quality Management.
Familiarity with Master Data Management (MDM).
Familiarity with Data Modeling.
Familiarity with Data Mesh and Data Fabric architectures.
Experience supporting AI, Machine Learning, and advanced analytics initiatives.

Location: Arlington, VA (onsite) | Experience: 3+ years

View full job page →

Data Fabric Engineer Jobs

Data Engineer (Fabric)

Senior Data Engineer – Microsoft Fabric & Healthcare Integrations

Data Engineer / Metadata Engineer

Get Data Fabric Engineer Jobs alerts