Job Description

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

Job Tags

Similar Jobs