Data Engineer III
Location: Birmingham, AL (Onsite – The Energy Center area)
Experience Level: Senior (5–10 years)
Employment Type: Contract
Overview
We are seeking a senior‑level Data Engineer to support enterprise data analytics and engineering initiatives. This role focuses on building scalable data pipelines, optimizing data models, and enabling analytics and AI/ML solutions across large, complex datasets. The ideal candidate has strong experience working with both on‑prem and cloud‑based data platforms, particularly within Azure and Databricks environments.
Responsibilities
- Design, build, and maintain scalable batch and real‑time data pipelines
- Normalize and model data to ensure performance, quality, and usability
- Combine and transform data from multiple sources into reliable, machine‑readable formats
- Develop datasets that support analytics, reporting, and business intelligence needs
- Create functional and technical designs for data engineering and analytics solutions
- Implement data quality frameworks and monitoring processes
- Support data sourcing, enrichment, and delivery using APIs and web services
- Collaborate within Agile teams and contribute to CI/CD and DevOps practices
Required Qualifications
- 5–10 years of experience manipulating and engineering data in a software engineering or data engineering capacity
- Strong expertise in SQL, data modeling, and schema design
- Hands‑on experience with big data technologies including Spark, Hive, Hadoop
- Proven experience building Databricks pipelines across multiple data sources
- Experience with batch and real‑time data processing frameworks
- Working knowledge of relational databases, NoSQL systems, and data lakes
- Experience with data quality tools and best practices
- Experience designing and implementing data models across diverse data sources
On‑Premise Technology Experience
- 5+ years working with tools such as:
- MSBI (SSIS, SSAS)
- Informatica
- Oracle GoldenGate
- Oracle, SQL Server
Cloud & Modern Data Stack Experience
- 3+ years hands‑on experience with Microsoft Azure tools, including:
- Azure Data Lake
- Azure Data Factory
- Azure Databricks
- Azure Synapse
- Azure Key Vault
- Python
- Power BI
Additional Technical Experience
- Hands‑on development of statistical models and/or AI/ML solutions using Python and/or R
- Experience with containerization technologies (Docker, OpenShift, etc.)
- Familiarity with Agile methodologies, DevOps, and CI/CD pipelines
Why This Role
- Work on complex, high‑impact data initiatives
- Collaborate with experienced analytics and engineering teams
- Gain exposure to modern cloud data platforms and advanced analytics solutions
