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Baker GroupPosted 30+ days ago

Data Engineer

Full-time
On-site
3+ years
Competitive
Posted 30+ days ago

Baker Group is hiring a Data Engineer to build and maintain the data pipelines and Microsoft Fabric data warehouse that serve as the organization’s single source of truth. The role curates governed, reliable data products for reporting, analytics, and AI/ML use cases, and collaborates with data, software development, and business systems teams.

Posted
30+ Days Ago
Source
Ethic Leaf recruiter
Sector
Information Technology & AI

No employer link yet — an Ethic Leaf recruiter forwards your application

Responsibilities

  • Designs, builds, and maintains ETL/ELT pipelines that ingest data from enterprise systems into Microsoft Fabric
  • Architects and maintains the Fabric medallion Lakehouse structure (bronze, silver, gold layers) as Baker Group's single source of truth
  • Develop and implement best practices for the data infrastructure and environment (e.g. Development/Test/Production environments, Git for version control)
  • Owns pipeline orchestration, scheduling, and monitoring to ensure reliable, timely, and accurate data availability
  • Curates and maintains core datasets across employee, finance, project, service, and manufacturing domains
  • Establishes and enforces data quality, validation, and reconciliation processes across all pipelines
  • Designs and manages data models, schemas, and semantic layers that support Data Analyst reporting and Data Scientist modeling work
  • Defines and maintains data ontologies and canonical business definitions (for example, what constitutes a "project," "employee," or "cost code") to ensure consistent meaning across systems and consumers
  • Prepares and structures data to support AI and machine learning use cases, including feature-ready datasets, retrieval-augmented generation (RAG) pipelines, and vector embedding storage
  • Manages Fabric capacity planning, workspace organization, and performance optimization
  • Implements data governance practices, including access controls, lineage tracking, and metadata management, consistent with Baker Group's data classification standards
  • Partners with business system owners (ERP, HRIS, MRP, etc.) to understand upstream data structures and manage change impacts
  • Collaborates with the Data Scientist to ensure pipeline outputs support analytical and machine learning use cases
  • Collaborates with Data Analysts to ensure data products support paginated reporting, dashboards, and self-service BI needs
  • Collaborates with Software Development and DevOps Teams to ensure data products support application development needs
  • Coordinates with 3rd party consultants when necessary to deliver data engineering projects and augment capacity for demanding business needs
  • Develops and maintains documentation for pipelines, schemas, and integration logic
  • Troubleshoots and resolves pipeline failures, latency issues, and data quality incidents
  • Monitors and maintains data-specific infrastructure, including Fabric capacity, pipeline orchestration tools, and monitoring/alerting systems
  • Evaluates and recommends new data engineering tools, patterns, and best practices
  • Stays current on emerging trends in data engineering, cloud data platforms, and integration techniques

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or other relevant quantitative field
  • Three to five years of experience in data engineering, ETL/ELT development, or a related field
  • Proficiency with SQL and database technologies for data extraction, transformation, and loading
  • Experience with Microsoft Fabric, Azure Data Factory, or similar cloud ETL/orchestration tools
  • Experience with medallion architecture and modern data warehousing patterns
  • Experience with a programming language such as Python, PySpark, or T-SQL for data transformation
  • Familiarity with data modeling techniques (dimensional modeling, star schema)
  • Understanding of data governance, data quality, and metadata management practices
  • Strong analytical and troubleshooting skills with the ability to diagnose and resolve complex pipeline and data quality issues
  • Excellent time and project management skills with the ability to prioritize across multiple pipeline and infrastructure projects
  • Current with industry trends in data engineering, cloud platforms, and integration best practices
  • Strong communication skills with the ability to translate technical data structures for non-technical stakeholders
  • Team player with strong collaboration skills, particularly with the Data Scientist, Data Analysts, and business system owners
  • Must be able to focus on complex technical problems and work independently with minimal supervision
  • Ability to work in a fast-paced environment and adapt to changing business priorities
  • Meticulous attention to detail and commitment to producing reliable, well-documented data infrastructure

Preferred

  • Experience preparing data for AI/ML consumption (e.g., vector embeddings, RAG architectures) is a plus
  • Business acumen and understanding of construction or related industries is a plus
  • relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar cloud platform certifications are a plus
  • Construction Industry Knowledge
  • Microsoft Fabric Data Engineer Certification
  • Azure Data Engineer Certification

Required skills

SQLMicrosoft FabricAzure Data FactoryMedallion ArchitectureData WarehousingPythonPySparkT-SQLDimensional ModelingData GovernanceData QualityMetadata ManagementVector EmbeddingsRetrieval-Augmented Generation (RAG)

Nice to have

Columbia, TN, UShttps://www.bakergrouprealty.comH1B SponsorshipData Powered byEngineering and DevelopmentTrends of Total Sponsorships*2021(1)Company data provided byAI ToolsCustomize Your ResumeMaximize your interview chancesBuild Cover Letter

Full job description

Baker Group is hiring a Data Engineer to build and maintain the data pipelines and Microsoft Fabric data warehouse that serve as the organization’s single source of truth. The role curates governed, reliable data products for reporting, analytics, and AI/ML use cases, and collaborates with data, software development, and business systems teams.

Responsibilities

  • Designs, builds, and maintains ETL/ELT pipelines that ingest data from enterprise systems into Microsoft Fabric
  • Architects and maintains the Fabric medallion Lakehouse structure (bronze, silver, gold layers) as Baker Group's single source of truth
  • Develop and implement best practices for the data infrastructure and environment (e.g. Development/Test/Production environments, Git for version control)
  • Owns pipeline orchestration, scheduling, and monitoring to ensure reliable, timely, and accurate data availability
  • Curates and maintains core datasets across employee, finance, project, service, and manufacturing domains
  • Establishes and enforces data quality, validation, and reconciliation processes across all pipelines
  • Designs and manages data models, schemas, and semantic layers that support Data Analyst reporting and Data Scientist modeling work
  • Defines and maintains data ontologies and canonical business definitions (for example, what constitutes a "project," "employee," or "cost code") to ensure consistent meaning across systems and consumers
  • Prepares and structures data to support AI and machine learning use cases, including feature-ready datasets, retrieval-augmented generation (RAG) pipelines, and vector embedding storage
  • Manages Fabric capacity planning, workspace organization, and performance optimization
  • Implements data governance practices, including access controls, lineage tracking, and metadata management, consistent with Baker Group's data classification standards
  • Partners with business system owners (ERP, HRIS, MRP, etc.) to understand upstream data structures and manage change impacts
  • Collaborates with the Data Scientist to ensure pipeline outputs support analytical and machine learning use cases
  • Collaborates with Data Analysts to ensure data products support paginated reporting, dashboards, and self-service BI needs
  • Collaborates with Software Development and DevOps Teams to ensure data products support application development needs
  • Coordinates with 3rd party consultants when necessary to deliver data engineering projects and augment capacity for demanding business needs
  • Develops and maintains documentation for pipelines, schemas, and integration logic
  • Troubleshoots and resolves pipeline failures, latency issues, and data quality incidents
  • Monitors and maintains data-specific infrastructure, including Fabric capacity, pipeline orchestration tools, and monitoring/alerting systems
  • Evaluates and recommends new data engineering tools, patterns, and best practices
  • Stays current on emerging trends in data engineering, cloud data platforms, and integration techniques

Preferred

  • Experience preparing data for AI/ML consumption (e.g., vector embeddings, RAG architectures) is a plus
  • Business acumen and understanding of construction or related industries is a plus
  • relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar cloud platform certifications are a plus
  • AI/ML Data Preparation
  • Vector Embeddings
  • RAG Architectures
  • Construction Industry Knowledge
  • Microsoft Fabric Data Engineer Certification
  • Azure Data Engineer Certification
  • Cloud Platform Certifications
  • Business Acumen

Company

  • Boutique real estate brokerage for residential and niche properties.
  • Columbia, TN, US
  • https://www.bakergrouprealty.com/
  • Founded in 2023
  • 2-10 employees

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or other relevant quantitative field
  • Three to five years of experience in data engineering, ETL/ELT development, or a related field
  • Proficiency with SQL and database technologies for data extraction, transformation, and loading
  • Experience with Microsoft Fabric, Azure Data Factory, or similar cloud ETL/orchestration tools
  • Experience with medallion architecture and modern data warehousing patterns
  • Experience with a programming language such as Python, PySpark, or T-SQL for data transformation
  • Familiarity with data modeling techniques (dimensional modeling, star schema)
  • Understanding of data governance, data quality, and metadata management practices
  • Strong analytical and troubleshooting skills with the ability to diagnose and resolve complex pipeline and data quality issues
  • Excellent time and project management skills with the ability to prioritize across multiple pipeline and infrastructure projects
  • Current with industry trends in data engineering, cloud platforms, and integration best practices
  • Strong communication skills with the ability to translate technical data structures for non-technical stakeholders
  • Team player with strong collaboration skills, particularly with the Data Scientist, Data Analysts, and business system owners
  • Must be able to focus on complex technical problems and work independently with minimal supervision
  • Ability to work in a fast-paced environment and adapt to changing business priorities
  • Meticulous attention to detail and commitment to producing reliable, well-documented data infrastructure
  • Experience preparing data for AI/ML consumption (e.g., vector embeddings, RAG architectures) is a plus
  • Business acumen and understanding of construction or related industries is a plus
  • Relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or similar cloud platform certifications are a plus

Required skills

  • SQL, Microsoft Fabric, Azure Data Factory, Medallion Architecture, Data Warehousing, Python, PySpark, T-SQL, Dimensional Modeling, Data Governance, Data Quality, Metadata Management, Vector Embeddings, Retrieval-Augmented Generation (RAG), Microsoft Certified Fabric Data Engineer Associate, Azure Data Engineer Associate

Preferred skills

  • Columbia, TN, US, https://www.bakergrouprealty.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Represents job field similar to this job, Engineering and Development, Trends of Total Sponsorships, *2021, (1), Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Aug 24, 2026

Work mode

On-site

Job source

Ethic Leaf recruiter

Company

Baker Group

Information Technology & AI

Boutique real estate brokerage for residential and niche properties.

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