Data Integration Engineer Jobs in Alabama
Data Integration Engineer jobs in Alabama are open across Birmingham, Montgomery, and Huntsville and other Alabama metros, with employers like 4P Consulting, University of Alabama, Birmingham, and LG Electronics hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 66+ Data Integration Engineer jobs
Data Engineer III
Experience Level: 5–10 Years
Location: Birmingham, AL
Contract - 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
Data Engineer III
Experience Level: 5–10 Years
Location: Birmingham, AL
Contract - 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
See All 66 Data Integration Engineer Jobs in Alabama
Find roles in Alabama that match your experience and apply in just a few clicks.
Find JobsData Integration Engineer Jobs by City in Alabama
Where Alabama roles are concentrated, by current openings.
Data Integration Engineer Job Market in Alabama
A snapshot from current Alabama openings, updated as new roles post.
Who's Hiring
- 4P Consulting15
- University of Alabama, Birmingham9
- LG Electronics3
- Ryder System3
- UAB Medicine3
Top Industries Hiring
- Technology & Software20
- Education14
- Healthcare & Medical Services10
- Electronics & Hardware5
- Manufacturing5
What Alabama Employers Look For
The qualifications that appear most often in data integration engineer jobs across Alabama.
- Proficiency in SQL and at least one ETL or ELT tool such as Informatica, Talend, or dbt
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Strong programming skills in Python, Java, or Scala for pipeline scripting and automation
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Luigi
- Experience integrating REST or SOAP APIs and working with JSON or XML data formats
- Bachelor's degree in computer science, information systems, or a related technical field
Data Integration Engineer Jobs in Alabama: Frequently Asked Questions
How many data integration engineer jobs are there in Alabama?
There are 66+ data integration engineer openings in Alabama on Migrate Mate as of June 2026, with the most roles in Birmingham, Montgomery, and Huntsville. New positions post regularly as employers across Alabama hire.
Which Alabama cities have the most data integration engineer jobs?
Birmingham, Montgomery, and Huntsville have the most data integration engineer openings in Alabama right now, with additional roles spread across smaller metros statewide.
Which companies hire data integration engineers in Alabama?
Employers hiring data integration engineers in Alabama include 4P Consulting, University of Alabama, Birmingham, and LG Electronics, based on current listings on Migrate Mate as of June 2026.
Are there remote data integration engineer jobs in Alabama?
Yes. About 11% of data integration engineer openings tied to Alabama are remote or hybrid as of June 2026. The rest are on-site roles based in Alabama metros.
How do I apply for data integration engineer jobs in Alabama?
You can apply to data integration engineer jobs in Alabama directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Alabama location, then apply to each one that fits.
See All 66 Data Integration Engineer Jobs in Alabama
Find roles in Alabama that match your experience and apply in just a few clicks.
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