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Fabric Data Engineer Jobs in Alabama (NOW HIRING)

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Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... You'll also play a key role in the organization's exciting transition to Microsoft Fabric, helping ...

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Experience with Microsoft Purview, Fabric, MS Power BI, and Key Vault (5-8 Years) * Familiarity ... Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) * Master's degree preferred.

Peraton

Data Center - Storage Engineer

Huntsville, AL · On-site

$86K - $138K/yr

Responsibilities Peraton is seeking an experienced Data Center Storage Engineer to join our ... Knowledge of SAN fabric technologies. * Certifications: Netapp Certified Data Administrator (NCDA ...

Peraton

Data Center - Storage Engineer

Huntsville, AL · On-site

$90 - $120/hr

Knowledge of SAN fabric technologies. * Certifications: Netapp Certified Data Administrator (NCDA ... Peraton is seeking an experienced Data Center Storage Engineer to join our national intelligence ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

We provide the advanced engineering, innovative technology, and subject-matter expertise to deliver ... data fabric). * Ability to prepare, analyze, and effectively communicate the findings of data ...

ERC Inc.

Data Scientist

Huntsville, AL · On-site

We provide the advanced engineering, innovative technology, and subject-matter expertise to deliver ... data fabric). Ability to prepare, analyze, and effectively communicate the findings of data ...

Peraton

Data Center - Storage Engineer

Huntsville, AL · On-site

They are seeking an experienced Data Center Storage Engineer to provide technical oversight of ... HP storage, Actifio Appliance, or Hitachi are preferred. • Knowledge of SAN fabric technologies:

Peraton

Data Center - Storage Engineer

Huntsville, AL · On-site

$86K - $138K/yr

Responsibilities Peraton is seeking an experienced Data Center Storage Engineer to join our ... Knowledge of SAN fabric technologies. * Certifications: NetappCertified Data Administrator (NCDA ...

Peraton

Data Center - Storage Engineer

Huntsville, AL · On-site

$86K - $138K/yr

Responsibilities Peraton is seeking an experienced Data Center Storage Engineer to join our ... Knowledge of SAN fabric technologies. * Certifications: NetappCertified Data Administrator (NCDA ...

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All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Alabama

Fabric Data Engineer information

See Alabama salary details

$40.3K

$117.6K

$160.9K

How much do fabric data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for fabric data engineer in Alabama is $117,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,600.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Alabama? For Fabric Data Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Fabric Data Engineer jobs in Alabama look for? The top searched job categories for Fabric Data Engineer jobs in Alabama are:
What cities in Alabama are hiring for Fabric Data Engineer jobs? Cities in Alabama with the most Fabric Data Engineer job openings:
Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.

Data Engineer- BI Developer

Diversified Gas & Oil Corporation

Birmingham, AL • On-site

Full-time

Posted 28 days ago

Job description

COMPANY PROFILE
Diversified Gas & Oil Corporation ("DGOC") is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol "DEC". Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.
POSITION SUMMARY & RESPONSIBILITIES:
Diversified Energy Company (DEC) is a leading natural gas operator with a long-term focus on sustainable, low-decline production assets across the Appalachian Basin and beyond. Headquartered in Birmingham, Alabama, DEC is transforming how upstream energy companies use data to improve operational performance, increase shareholder value, and responsibly steward energy resources.
Position Summary
The Data Engineer / BI Developer is responsible for designing, building, and optimizing the data pipelines, transformation models, semantic views, and analytical infrastructure that power enterprise reporting and analytics at DEC. This role partners closely with the Senior Manager of Business Analytics, developers, and other cross-functional resources to deliver scalable, governed data solutions across the full platform stack. The Senior Data Engineer translates business and analytical requirements into reliable, high-performance data models and pipelines using Snowflake, dbt, SQL, and the Microsoft Power BI and Fabric ecosystem.
This individual will serve as a hands-on technical contributor and cross-functional collaborator, working directly with the VP of Business Intelligence & Analytics and engaging with business stakeholders, the data engineering team, and IT partners. Success in this role requires strong coding discipline, platform depth in Snowflake, and the ability to deliver quality work in a fast-moving, maturing data environment.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and maintain ELT/ETL pipelines using dbt Core and Snowflake as the primary transformation and serving layer.
  • Develop well-structured, tested, and documented semantic views following established medallion and semantic layer patterns.
  • Implement change data capture and streaming ingestion patterns where required.
  • Own end-to-end data flow from raw ingestion through consumption-ready analytical models.

Snowflake Platform Engineering
  • Develop and maintain Snowflake Dynamic Tables for automated, low-latency data transformations.
  • Build Snowflake Cortex Analyst integrations to support AI-powered data interaction and natural language query patterns.
  • Design and implement Snowflake Semantic Views as part of the enterprise semantic and metric layer.
  • Leverage Apache Iceberg Tables within Snowflake for open table format and cross-platform interoperability.
  • Manage warehouse sizing, multi-cluster configuration, and auto-suspend policies to govern credit consumption.
  • Perform query profiling and optimization including clustering strategy, search optimization, and result cache utilization.
  • Support credit governance through resource monitor configuration and cost attribution reporting.

BI Development & Semantic Layer
  • Develop Snowflake Artifacts for governed use across the organization.
  • Develop certified datasets, governed report templates, and reusable components for the user experience layer.

Architecture & Governance
  • Contribute to data architecture design including source system modeling and consumption layer structure.
  • Support data governance practices including lineage, catalog metadata, column-level security, and row-level security.
  • Assist with SOX compliance requirements including change control documentation and audit trail for data platform assets.
  • Participate in data quality framework design.
  • Implement and maintain CI/CD pipelines.

Cross-Functional Collaboration
  • Partner with business analysts and reporting consumers to translate requirements into well-designed data objects.
  • Provide technical direction and code reviews to the Snowflake development team.
  • Engage with IT infrastructure, security, and enterprise architecture on platform and integration decisions.
  • Contribute to the Power User Group and data stewardship program as a technical subject matter expert.

Technical Stack
Data Platforms: Snowflake, dbt , Microsoft Fabric
Visualization Tools: Microsoft Power BI, Snowflake Artifacts
Languages & Query: SQL, Python, DAX
Snowflake Advanced: Dynamic Tables, Cortex Analyst, Semantic Views, Apache Iceberg Tables
Governance & Lineage: Atlan, column/row-level security, SOX change control, audit logging
Cloud Platform: Microsoft Azure
POSITION REQUIREMENTS:
  • Bachelor's degree in Computer Science, Information Systems, or a related field required.
  • 5+ years of hands-on data engineering experience in a cloud-native data warehouse environment.
  • Expert-level Snowflake proficiency including data modeling, performance tuning, warehouse management, and security.
  • Experience with Snowflake Dynamic Tables, Cortex Analyst, Semantic Views, or Apache Iceberg
  • Advanced SQL skills including window functions, CTEs, query optimization, and execution plan analysis.
  • Strong ELT experience with dbt Core or dbt Cloud including models, tests, macros, snapshots, and sources.
  • CI/CD experience with Git-based workflows and pipeline automation.
  • Experience designing semantic models and/or medallion architecture patterns.
  • Demonstrated ability to work cross-functionally with technical and non-technical stakeholders.
  • Strong written and verbal communication skills with the ability to articulate technical concepts clearly.
  • Experience with Power BI development including semantic model design and DAX authoring is a plus.
  • Familiarity with Microsoft Fabric, OneLake, or Direct Lake mode is a plus.
  • Oil & Gas or energy sector experience is a plus.

Office Physical Requirements and Working Conditions:
  • Prolonged periods working at a desk in front of a computer.

Additional Requirements:
  • Must be able to lift up to 15 pounds at a time.

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