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Data Engineer III
Job in
Birmingham, Jefferson County, Alabama, 35275, USA
Listed on 2026-07-08
Listing for:
4p-Consulting-Inc.
Full Time
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
Data Engineering, Azure
Job Description & How to Apply Below
Experience Level: 5–10 Years
Location: Birmingham, AL
Contract- 1 Year
Client
- Southern Company Services.
The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, No
SQL 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
- Design and implement data models (star schema, snowflake, relational, No
SQL) - Implement data access strategies and storage optimization techniques
- Develop functional and technical designs for data engineering solutions
- Support diverse data source integration and enrichment
- 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
- Support statistical models and AI/ML solutions using Python and/or R
- Prepare data pipelines to enable machine learning workflows
- Implement CI/CD pipelines for data engineering deployments
- Work within Agile development environments
- Utilize containerization tools (Docker, Open Shift)
- Develop API and web service integrations for data sourcing and delivery
- Implement and maintain data quality frameworks and tools
- Ensure consistency, accuracy, and reliability of data assets
- 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
- Experience supporting AI/ML workflows
- Experience with containerization (Docker, Open Shift)
- Strong background in Dev Ops and CI/CD practices
- Experience working in enterprise‑scale environments
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