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Azure Data Factory Jobs in Alabama (NOW HIRING)

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI. • Experience with Containerization methodologies - Docker, OpenShift, etc. • ...

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 ...

KPMG US

Manager, Data Operations

Birmingham, AL · On-site

Required : • Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$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 · On-site

$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 ...

Vultus Inc

... Azure Data Factory / AWS Data Services Machine Learning Fundamentals Looker or Other BI Tools Database Management (SQL Server, MySQL, PostgreSQL) Agile/Scrum Methodologies Version Control Tools (Git ...

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 ...

TalentBridgeX

Senior Data Engineer

Huntsville, AL

$104K - $141K/yr

Azure Data Factory * Power Apps * Experience with distributed data/computing technologies, including: * Apache Spark * Databricks * Apache NiFi * Airflow * Snowflake * Redshift * BigQuery

Centurion Consulting Group

Sr. Data Engineer

Huntsville, AL

$112K - $135K/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 with ...

ERC, Inc

Data Scientist

Huntsville, 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 ...

Guidehouse

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB. * Experience with data visualization or reporting tools ...

Guidehouse

Public Health Data Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB. * Experience with data visualization or reporting tools ...

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How much do azure data factory jobs pay per hour?

As of Sep 14, 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?

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.

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 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 Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

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, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $110,105 per year, or $52.9 per hour.

Data Engineer 3

Birmingham, AL • On-site

Mindlance
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Mindlanceexternal

$107K - $128K/yr

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Mindlance is a company focused on data solutions, and they are seeking a Data Engineer 3 to manipulate and manage data in various systems. The role involves constructing datasets, normalizing databases, and developing data engineering and analytics solutions using both on-premises and cloud-based tools.
Responsibilities:
• Focus on manipulating data in a software engineering capacity.
• Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.
• Construct datasets that are easy to analyze and support company requirements.
• Combine raw information from different sources to create consistent and machine-readable formats.
• Working experience with batch and real-time data processing frameworks.
• Working experience with data modelling, data access, schemas, and data storage techniques.
• Working experience with data quality tools.
• Experience in creating functional and technical designs for data engineering and analytics solutions.
• Experience implementing data models of different schemas and working with diverse data source types.
• Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
• Hands-on experience developing and supporting statistical models, R, and/or Python based AI/ML solutions.
• 5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle Golden Gate, SQL, Oracle, and SQL Server.
• 3+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using Microsoft cloud based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI.
• Experience with Containerization methodologies – Docker, OpenShift, etc.
• Experience with Agile as well as DevOps, CI/CD methodologies.
• Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.
Qualifications:
Required:
• 5-10 Years Focused on manipulating data in a software engineering capacity.
• Some of that data might live in relational systems, but it is increasingly moving towards NoSQL systems and data lakes.
• Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.
• Construct datasets that are easy to analyze and support company requirements.
• Combine raw information from different sources to create consistent and machine-readable formats.
• This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.
• Must have skills and experience required for creating Databricks pipelines for multiple types of sources.
• Working experience with batch and real-time data processing frameworks.
• Working experience with data modelling, data access, schemas, and data storage techniques.
• Working experience with data quality tools.
• Experience in creating functional and technical designs for data engineering and analytics solutions.
• Experience implementing data models of different schemas and working with diverse data source types.
• Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
• Hands-on experience developing and supporting statistical models, R, and/or Python based AI/ML solutions.
• 5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle Golden Gate, SQL, Oracle, and SQL Server.
• 3+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using Microsoft cloud based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI.
• Experience with Containerization methodologies – Docker, OpenShift, etc.
• Experience with Agile as well as DevOps, CI/CD methodologies.
• Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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