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Azure Data Factory Jobs in Alabama (NOW HIRING)

deploy.

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Responsibilities : • Build Modern Data Platforms • Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi. • Integrate data from ERP, EHS, operational, and ...

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 ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

What You'll Do Build Modern Data Platforms Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi. Integrate data from ERP, EHS, operational, and enterprise systems.

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/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

Redstone Arsenal, AL

$57 - $76/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 · On-site

$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 - Hybrid

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 ...

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 ...

Booz Allen Hamilton

Data Engineer, Senior

Huntsville, AL · On-site

$105K - $142K/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 ...

Mobile Gas Service

Eng II, Data

Birmingham, AL · On-site

$107K - $128K/yr

... L/ELT, Azure Data Factory Pipeline (or similar) experience Experience working within Agile development methodologies and DevOps development lifecycles Physical demands, environment and schedule ...

ERC Inc.

Data Scientist

Huntsville, AL

... 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 ...

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How much do azure data factory jobs pay per hour?

As of Jul 16, 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 highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

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 with hands-on practice and official documentation, mastering ADF is achievable.

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 is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,105 per year, or $52.9 per hour.

Data, Analytics & AI Engineer

deploy.

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Posted 10 days ago

Job description

Job Summary:
Deploy. is seeking a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform. The role involves creating intelligent solutions that drive smarter decisions and automate business processes, while collaborating with various teams to deliver secure and scalable solutions.
Responsibilities:
• Build Modern Data Platforms
• Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.
• Integrate data from ERP, EHS, operational, and enterprise systems.
• Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and Warehouse architectures.
• Ensure high levels of data quality, performance, governance, and reliability.
• Help establish best practices and architecture standards for the next generation data platform.
• Deliver Powerful Analytics
• Build interactive dashboards, semantic models, and reports using Power BI.
• Partner with business leaders to translate business questions into actionable KPIs and analytics.
• Enable self-service reporting through well-designed datasets and documentation.
• Turn raw data into meaningful business insights.
• Drive AI Innovation
• Design, prototype, and deploy AI and Machine Learning solutions.
• Build intelligent workflows that automate multi-step business processes using AI and agentic technologies.
• Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics.
• Champion responsible AI adoption across the organization.
• Identify opportunities where AI can improve forecasting, anomaly detection, classification, automation, and decision-making.
• Collaborate Across the Business
• Partner with IT, Security, DevOps, and business leaders to deliver secure, scalable solutions.
• Work closely with cross-functional teams and affiliate companies on strategic initiatives.
• Manage projects with measurable business outcomes and clear success metrics.
• Innovate Continuously
• Evaluate emerging technologies in data, analytics, and AI.
• Recommend improvements that create measurable business value.
• Foster a culture of innovation, experimentation, and data-driven decision making.
Qualifications:
Required:
• Bachelor's degree (or higher) in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, or a related field.
• Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar integration tools.
• Excellent SQL skills with experience designing relational data models.
• Experience with Azure SQL Database or similar database technologies.
• Hands-on experience building Power BI semantic models, dashboards, and reports.
• Programming experience with Python, including notebooks and data engineering workflows.
• Practical experience applying AI and Machine Learning to solve real business challenges.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to both technical and non-technical audiences.
• Curious, self-motivated, and excited about learning new technologies.
Preferred:
• Experience with Microsoft Fabric, including Lakehouse, Warehouse, Notebooks, Real-Time Analytics, and AI workloads.
• Familiarity with agentic AI, workflow orchestration, or intelligent automation platforms.
• Experience supporting enterprise data platforms in regulated or security-conscious environments.
• Knowledge of modern data architecture, including ELT, semantic layers, governance, and data lineage.
• Experience working in large, multi-company, or distributed enterprise environments.
• A customer-first mindset with the ability to build strong relationships across the business.
Company:
AI + Human Expert Investment Intelligence That Spots What Others Miss While 71% of AI tools focus on replacing humans, we're obsessed with augmentation. Founded in 2023, the company is headquartered in Sheung Wan, HKG, with a team of 2-10 employees. The company is currently Early Stage.

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