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À propos
Birmingham, AL (Onsite – The Energy Center area) Experience Level:
Senior (5–10 years) Employment Type:
Contract
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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+ xywuqvp 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
Compétences linguistiques
- English
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