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Azure Data Factory Jobs in Alabama (NOW HIRING)

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Azure Data Factory * Azure Databricks * Azure Synapse * Azure Key Vault * Power BI * Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate AI/ML & Advanced Analytics Support * Support ...

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$52 - $69.50/hr

Implement automated data workflows using Azure Data Factory, Databricks, or similar platforms. * Optimize cloud data systems for performance, cost-efficiency, and reliability. * Create and maintain ...

Trideum

Senior Cloud Data Engineer

Huntsville, AL · On-site

$55 - $73.50/hr

Implement automated data workflows using Azure Data Factory, Databricks, or similar platforms. * Optimize cloud data systems for performance, cost-efficiency, and reliability. * Create and maintain ...

Pwc

Data Engineer - Manager

Birmingham, AL

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

Pwc

Data Engineer - Manager

Birmingham, AL · On-site

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Mission Pet Health

Solutions Architect

Birmingham, AL · On-site

$59 - $77.75/hr

Set the direction for our analytical layer on SQL Server, SSAS, and ClickHouse, and for our integration fabric across Azure Data Factory, REST APIs, NATS, and CDC. * Design and operate event-driven ...

Pwc

Data Engineer - Senior Associate

Birmingham, AL

$77K - $202K/yr

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

Hexagon AB

Software Consultant, QA

Madison, AL · On-site

Support testing of data pipelines and integrations involving SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), Azure Data Factory, and related services * Identify, document ...

TMC Technologies

Senior Data Engineer

Huntsville, AL · On-site

$104K - $141K/yr

... Azure Data Factory, and Power Apps - Experience with distributed data or computing tools, including Apache Spark, Apache NiFi, AirFlow, Databricks, Snowflake, Redshift, or BigQuery - Experience ...

ERC Inc.

Data Scientist

Huntsville, AL · On-site

... Apache NiFi, Azure Data Factory, etc.) Understanding of statistics and probability (Probability distributions, Bayesian and frequentist statistics, etc.) Knowledge of common data database ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) * Understanding of statistics and probability (Probability distributions, Bayesian ...

Deloitte

Senior Data Engineer

Huntsville, AL · Hybrid

$104K - $141K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to-end ...

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How much do azure data factory jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for azure data factory in Alabama is $52.94, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $59.47 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
What are popular job titles related to Azure Data Factory jobs in Alabama? For Azure Data Factory jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Alabama look for? The top searched job categories for Azure Data Factory jobs in Alabama are:
Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Alabama as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,105 per year, or $52.9 per hour.

Data Engineer III

4pconsultinginc

Birmingham, AL • On-site

$107K - $128K/yr

Contractor

Posted 5 days ago

Job description

Position: Data Engineer III

Location: 3535 Colonnade Parkway, Birmingham, AL 35243
Duration: 1 Year

Client: Southern Company Services.

Position Overview

The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting.

The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.

Key Responsibilities

Data Engineering & Pipeline Development

  • Design, develop, test, deploy, and support scalable data pipelines
  • Create and maintain Databricks pipelines for multiple data sources
  • Develop batch and real-time data processing solutions
  • Normalize databases and design schemas aligned with application requirements
  • Combine and transform raw data into structured, analytics-ready datasets

Data Modeling & Architecture

  • Design and implement data models (star schema, snowflake, relational, NoSQL)
  • Implement data access strategies and storage optimization techniques
  • Develop functional and technical designs for data engineering solutions
  • Support diverse data source integration and enrichment

Big Data & Cloud Technologies

  • Develop solutions using Spark, Hive, Hadoop
  • Build and maintain solutions using Azure ecosystem tools:
    • Azure Data Lake
    • Azure Data Factory
    • Azure Databricks
    • Azure Synapse
    • Azure Key Vault
    • Power BI
  • Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate

AI/ML & Advanced Analytics Support

  • Support statistical models and AI/ML solutions using Python and/or R
  • Prepare data pipelines to enable machine learning workflows

DevOps & Modern Engineering Practices

  • Implement CI/CD pipelines for data engineering deployments
  • Work within Agile development environments
  • Utilize containerization tools (Docker, OpenShift)
  • Develop API and web service integrations for data sourcing and delivery

Data Quality & Governance

  • Implement and maintain data quality frameworks and tools
  • Ensure consistency, accuracy, and reliability of data assets

Required Qualifications

  • 5–10 years of hands-on data engineering experience
  • Advanced SQL expertise
  • Strong experience with Spark, Hive, Hadoop
  • Hands-on experience with Azure cloud data tools
  • Experience building Databricks pipelines
  • Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
  • Experience with batch and real-time data processing frameworks
  • Experience with data modeling and schema design
  • Experience working with APIs and web services

Preferred Qualifications

  • Experience supporting AI/ML workflows
  • Experience with containerization (Docker, OpenShift)
  • Strong background in DevOps and CI/CD practices
  • Experience working in enterprise-scale environments