Senior Data Engineer

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