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Data Engineer - Microsoft Fabric

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and maintain Fabric pipelines, Dataflows Gen2, and notebooks for data ingestion

  • Transform raw Bronze data into standardized, validated Silver structures

  • Integrate data from Oracle Fusion, Deltek Costpoint, Primavera P6, Procore, and Salesforce

  • Implement full-load, incremental-load, and Change Data Capture patterns

  • Build Gold data products and dimensional models for enterprise reporting

From the employer’s posting
Build and maintain data pipelines using Fabric Data Factory, Fabric Pipelines, Dataflows Gen2, and notebooks.
Transform raw source-aligned Bronze data into standardized and validated Silver data structures.
Integrate data from Oracle Fusion ERP, Deltek Costpoint ERP, Primavera P6, Procore, Salesforce, manufacturing systems, and other operational platforms.
Implement full-load, incremental-load, watermark, and Change Data Capture patterns.
Build Gold data products and dimensional models that support enterprise reporting and analytics.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline, or equivalent professional experience.
  • 4+ years of professional experience in data engineering, data integration, business intelligence engineering, or a related discipline.
  • Hands-on experience building production data pipelines and cloud-based analytics solutions.
  • Experience working with relational databases, APIs, files, and enterprise application data.
  • Ability to work independently while collaborating effectively with architects, engineers, analysts, and business stakeholders.

Preferred experience

  • Experience with Oracle Fusion ERP, Deltek Costpoint, SAP S/4HANA, Primavera P6, Procore, Autodesk Construction Cloud, Salesforce, or manufacturing and product lifecycle systems.
  • Knowledge of financial and ERP domains including general ledger, AP, AR, procure-to-pay, order-to-cash, project accounting, project costing, revenue recognition, budgeting, forecasting, and financial reporting.
  • Knowledge of project controls, construction, manufacturing, and supply-chain data domains.
Qualification wording
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline, or equivalent professional experience.
4+ years of professional experience in data engineering, data integration, business intelligence engineering, or a related discipline.
Hands-on experience building production data pipelines and cloud-based analytics solutions.
Experience working with relational databases, APIs, files, and enterprise application data.
Ability to work independently while collaborating effectively with architects, engineers, analysts, and business stakeholders.
Experience with Oracle Fusion ERP, Deltek Costpoint, SAP S/4HANA, Primavera P6, Procore, Autodesk Construction Cloud, Salesforce, or manufacturing and product lifecycle systems.
Knowledge of financial and ERP domains including general ledger, AP, AR, procure-to-pay, order-to-cash, project accounting, project costing, revenue recognition, budgeting, forecasting, and financial reporting.
Knowledge of project controls, construction, manufacturing, and supply-chain data domains.
Education & alternatives
Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline, or equivalent professional experience. • 4+ years of professional experience in data engineering, data integration, business intelligence engineering, or a related discipline.
Apply at Integra

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20263 days ago
Recorded sightings
5
Last seen by us
Nov 5, 2026
Employer says posted
Oct 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 6 and day 54.

From 11,028 similar postings that came down. Coming down is not always a hire.

Integra is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Delta Lake
  • Oracle
  • Power BI
  • SAP
  • Spark
  • PySpark
Where the posting names them
• Microsoft Fabric Data Factory, Pipelines, Lakehouse, Warehouse, OneLake, notebooks, Spark runtime, Dataflows Gen2, Delta tables, Direct Lake, workspace security, deployment pipelines, monitoring, and capacity awareness. • Advanced SQL, relational data modeling, Python, PySpark, Apache Spark, Delta Lake, Parquet, ETL and ELT patterns, metadata-driven frameworks, CDC, watermarking, incremental loading, reconciliation, observability, and performance tuning. • Azure Data Lake Storage Gen2, Azure Data Factory, Azure SQL Database or comparable platforms, Microsoft Entra ID, service principals, managed identities, Azure Key Vault, Azure DevOps, Git, CI/CD, Azure Monitor, and Log Analytics.
• Implement scalable Bronze, Silver, and Gold processing patterns aligned with the Medallion Architecture. • Develop Spark, PySpark, SQL, and notebook-based transformations for structured and semi-structured data. • Use Fabric shortcuts, mirroring, and appropriate ingestion patterns based on source-system and workload requirements.
Security, Governance, and DevOps • Implement workspace, item, OneLake, SQL endpoint, and data access controls with platform and security teams. • Use Microsoft Entra ID, managed identities, service principals, Azure Key Vault, and least-privilege access patterns.
• Advanced SQL, relational data modeling, Python, PySpark, Apache Spark, Delta Lake, Parquet, ETL and ELT patterns, metadata-driven frameworks, CDC, watermarking, incremental loading, reconciliation, observability, and performance tuning. • Azure Data Lake Storage Gen2, Azure Data Factory, Azure SQL Database or comparable platforms, Microsoft Entra ID, service principals, managed identities, Azure Key Vault, Azure DevOps, Git, CI/CD, Azure Monitor, and Log Analytics. • Bronze, Silver, and Gold layers; dimensional modeling; canonical data models; source-to-target mapping; lineage; metadata; business glossaries; data dictionaries; and Microsoft Purview or comparable governance tooling.
• Implement workspace, item, OneLake, SQL endpoint, and data access controls with platform and security teams. • Use Microsoft Entra ID, managed identities, service principals, Azure Key Vault, and least-privilege access patterns. • Support Microsoft Purview cataloging, classification, lineage, business glossary, and data-discovery processes.
• Support Microsoft Purview cataloging, classification, lineage, business glossary, and data-discovery processes. • Manage source code through Git and Azure DevOps, including branching, pull requests, code reviews, release pipelines, and deployment practices. • Support separate development, test, and production environments using deployment pipelines and controlled configuration.
• Build and maintain data pipelines using Fabric Data Factory, Fabric Pipelines, Dataflows Gen2, and notebooks. • Develop and support Fabric Lakehouse and Warehouse solutions using OneLake and Delta tables. • Implement scalable Bronze, Silver, and Gold processing patterns aligned with the Medallion Architecture.
• Implement schema enforcement, schema evolution, deduplication, data-quality rules, quarantine processes, and exception reporting. • Use Delta Lake capabilities including MERGE, ACID transactions, time travel, optimization, and controlled retention. • Create reusable engineering components, frameworks, templates, and coding standards.
Required Technical Skills • Microsoft Fabric Data Factory, Pipelines, Lakehouse, Warehouse, OneLake, notebooks, Spark runtime, Dataflows Gen2, Delta tables, Direct Lake, workspace security, deployment pipelines, monitoring, and capacity awareness. • Advanced SQL, relational data modeling, Python, PySpark, Apache Spark, Delta Lake, Parquet, ETL and ELT patterns, metadata-driven frameworks, CDC, watermarking, incremental loading, reconciliation, observability, and performance tuning.
• Build resilient pipelines with parameterization, dependency management, retry logic, logging, and alerting. • Integrate data from Oracle Fusion ERP, Deltek Costpoint ERP, Primavera P6, Procore, Salesforce, manufacturing systems, and other operational platforms. • Implement reconciliation, source-to-target validation, audit controls, restartable processing, and technical metadata management.
Preferred Qualifications • Experience with Oracle Fusion ERP, Deltek Costpoint, SAP S/4HANA, Primavera P6, Procore, Autodesk Construction Cloud, Salesforce, or manufacturing and product lifecycle systems. • Knowledge of financial and ERP domains including general ledger, AP, AR, procure-to-pay, order-to-cash, project accounting, project costing, revenue recognition, budgeting, forecasting, and financial reporting.
The Opportunity The Data Engineer - Microsoft Fabric builds the data pipelines that connect Integra’s core business systems to our enterprise data platform and make trusted data available across the organization. You will work hands-on in Microsoft Fabric to ingest, transform, organize, and integrate data from ERP, CRM, HR, manufacturing, construction, and other operational systems. You will help build and maintain our Bronze and Silver data layers, creating reliable pipelines and models that prepare data for downstream analytics and business-specific solutions across Finance, HR, Marketing, Engineering, Technology, and Operations. You will partner with Data Architecture, Analytics, Power BI, and business teams to understand how data is created and used, identify gaps between systems, and turn complex source data into consistent, scalable, and trusted data products. This role is a strong fit for someone who enjoys building the data foundation behind analytics and has experience connecting complex enterprise systems through modern data engineering and integration practices. This role is 100% onsite in the far North Dallas/ Plano area.
• Use Fabric shortcuts, mirroring, and appropriate ingestion patterns based on source-system and workload requirements. • Optimize Fabric workloads for performance, reliability, concurrency, and capacity consumption, and support Direct Lake semantic models and downstream Power BI requirements. Data Integration and Ingestion
• Work with functional subject-matter experts and data stewards to understand source data, business rules, and validation requirements. • Collaborate with Power BI developers and Analytics Engineers to deliver trusted semantic models and data products. • Create technical documentation, runbooks, data dictionaries, source-to-target mappings, and operational support procedures.

Your next step

Complete your application on integra.clearcompany.com. The employer’s form will show what is required.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Location: DFW

Department: DEPADM

The Opportunity

The Data Engineer - Microsoft Fabric builds the data pipelines that connect Integra’s core business systems to our enterprise data platform and make trusted data available across the organization. You will work hands-on in Microsoft Fabric to ingest, transform, organize, and integrate data from ERP, CRM, HR, manufacturing, construction, and other operational systems. You will help build and maintain our Bronze and Silver data layers, creating reliable pipelines and models that prepare data for downstream analytics and business-specific solutions across Finance, HR, Marketing, Engineering, Technology, and Operations. You will partner with Data Architecture, Analytics, Power BI, and business teams to understand how data is created and used, identify gaps between systems, and turn complex source data into consistent, scalable, and trusted data products. This role is a strong fit for someone who enjoys building the data foundation behind analytics and has experience connecting complex enterprise systems through modern data engineering and integration practices.

This role is 100% onsite in the far North Dallas/ Plano area.

What you will do?

Microsoft Fabric Data Engineering

• Build and maintain data pipelines using Fabric Data Factory, Fabric Pipelines, Dataflows Gen2, and notebooks.

• Develop and support Fabric Lakehouse and Warehouse solutions using OneLake and Delta tables.

• Implement scalable Bronze, Silver, and Gold processing patterns aligned with the Medallion Architecture.

• Develop Spark, PySpark, SQL, and notebook-based transformations for structured and semi-structured data.

• Use Fabric shortcuts, mirroring, and appropriate ingestion patterns based on source-system and workload requirements.

• Optimize Fabric workloads for performance, reliability, concurrency, and capacity consumption, and support Direct Lake semantic models and downstream Power BI requirements.

Data Integration and Ingestion

• Develop metadata-driven ingestion frameworks for databases, files, APIs, SaaS applications, and enterprise systems.

• Implement full-load, incremental-load, watermark, and Change Data Capture patterns.

• Build resilient pipelines with parameterization, dependency management, retry logic, logging, and alerting.

• Integrate data from Oracle Fusion ERP, Deltek Costpoint ERP, Primavera P6, Procore, Salesforce, manufacturing systems, and other operational platforms.

• Implement reconciliation, source-to-target validation, audit controls, restartable processing, and technical metadata management.

Lakehouse Transformation and Data Quality

• Transform raw source-aligned Bronze data into standardized and validated Silver data structures.

• Implement source-to-canonical mappings for finance, projects, procurement, suppliers, customers, employees, organizations, scheduling, and manufacturing domains.

• Build Gold data products and dimensional models that support enterprise reporting and analytics.

• Implement schema enforcement, schema evolution, deduplication, data-quality rules, quarantine processes, and exception reporting.

• Use Delta Lake capabilities including MERGE, ACID transactions, time travel, optimization, and controlled retention.

• Create reusable engineering components, frameworks, templates, and coding standards.

Security, Governance, and DevOps

• Implement workspace, item, OneLake, SQL endpoint, and data access controls with platform and security teams.

• Use Microsoft Entra ID, managed identities, service principals, Azure Key Vault, and least-privilege access patterns.

• Support Microsoft Purview cataloging, classification, lineage, business glossary, and data-discovery processes.

• Manage source code through Git and Azure DevOps, including branching, pull requests, code reviews, release pipelines, and deployment practices.

• Support separate development, test, and production environments using deployment pipelines and controlled configuration.

• Develop monitoring and operational dashboards for pipeline health, failures, runtimes, data freshness, quality, and capacity consumption.

Collaboration and Support

• Partner with the Data Architect to implement enterprise architecture, canonical modeling, governance, and integration standards.

• Work with functional subject-matter experts and data stewards to understand source data, business rules, and validation requirements.

• Collaborate with Power BI developers and Analytics Engineers to deliver trusted semantic models and data products.

• Create technical documentation, runbooks, data dictionaries, source-to-target mappings, and operational support procedures.

• Troubleshoot production issues, perform root-cause analysis, and implement permanent corrective actions.

• Participate in peer reviews, sprint planning, estimation, testing, release management, and continuous improvement.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline, or equivalent professional experience.

• 4+ years of professional experience in data engineering, data integration, business intelligence engineering, or a related discipline.

• Hands-on experience building production data pipelines and cloud-based analytics solutions.

• Experience working with relational databases, APIs, files, and enterprise application data.

• Strong analytical, troubleshooting, documentation, and communication skills.

• Ability to work independently while collaborating effectively with architects, engineers, analysts, and business stakeholders.

Required Technical Skills

• Microsoft Fabric Data Factory, Pipelines, Lakehouse, Warehouse, OneLake, notebooks, Spark runtime, Dataflows Gen2, Delta tables, Direct Lake, workspace security, deployment pipelines, monitoring, and capacity awareness.

• Advanced SQL, relational data modeling, Python, PySpark, Apache Spark, Delta Lake, Parquet, ETL and ELT patterns, metadata-driven frameworks, CDC, watermarking, incremental loading, reconciliation, observability, and performance tuning.

• Azure Data Lake Storage Gen2, Azure Data Factory, Azure SQL Database or comparable platforms, Microsoft Entra ID, service principals, managed identities, Azure Key Vault, Azure DevOps, Git, CI/CD, Azure Monitor, and Log Analytics.

• Bronze, Silver, and Gold layers; dimensional modeling; canonical data models; source-to-target mapping; lineage; metadata; business glossaries; data dictionaries; and Microsoft Purview or comparable governance tooling.

Preferred Qualifications

• Experience with Oracle Fusion ERP, Deltek Costpoint, SAP S/4HANA, Primavera P6, Procore, Autodesk Construction Cloud, Salesforce, or manufacturing and product lifecycle systems.

• Knowledge of financial and ERP domains including general ledger, AP, AR, procure-to-pay, order-to-cash, project accounting, project costing, revenue recognition, budgeting, forecasting, and financial reporting.

• Knowledge of project controls, construction, manufacturing, and supply-chain data domains.

How we support you

We believe your best work happens when you feel supported - professionally, personally, and financially. That’s why we offer a range of benefits designed to help you thrive, stay healthy, and plan for the future.

  • Performance-driven rewards – Competitive pay with incentive opportunities that recognize your results and contributions.
  • Comprehensive healthcare – Medical, dental, and vision coverage that supports you and your family’s total well-being.
  • Security and peace of mind – Life and disability insurance programs that provide protection when it matters most.
  • Flexible benefits options – A variety of voluntary benefits so you can personalize coverage to fit your needs.
  • Time to recharge – Generous paid time off to relax, travel, and maintain a healthy work-life balance.
  • Investing in your growth – Education assistance and tuition support to help you build skills and advance your career.
  • Planning for the future – Retirement and savings programs that help you achieve long-term financial confidence.

Come build with us

At Integra, we’re driven by a vision to transform the data center industry. We specialize in delivering optimized turnkey solutions that bring together speed, quality, and reliability - helping our clients build and operate the mission-critical infrastructure that powers today’s digital world. Integra is a vertically integrated company - owning and managing every phase of the process from site selection and design to manufacturing, procurement, commissioning, and warranty. This approach allows us to move faster, solve challenges more efficiently, and deliver exceptional outcomes for our partners.

What truly sets Integra apart is our people. We are a team of problem-solvers, engineers, builders, and operators who thrive on tackling complex challenges and delivering results. Our culture values collaboration, accountability, and continuous improvement - because in a rapidly evolving digital landscape, excellence and adaptability matter.

Joining Integra means being part of a company that is shaping the future of data center infrastructure. If you’re passionate about innovation, impact, and building systems the world depends on, you’ll find the opportunity to grow and make a difference here.

Equal Opportunity Statement

Integra provides equal employment opportunities for all people. No employee or applicant for employment will be discriminated against because of race, creed, origin, marital status, sexual orientation, age, otherwise qualified disabled or veteran status or any other characteristic protected by law. If you are a qualified applicant who requires reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, please contact talent_acquisition@integra.com

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Dallas, TX, US

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