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Company Site

Database Engineer

Batchelor & Kimball, Inc.
Conyers, USA
Mid
Onsite
Discovered 2 weeks ago
azureazure-data-factorydatabricksdelta-lakepower-bipython

Full Job Posting

Qualifications

  • Bachelor’s degree in Data Science/Analytics, Computer Science, Computer Engineering, Information Systems, associated discipline, or equivalent technical experience.
  • Minimum of 3 plus years of hands-on data engineering, database engineering, analytics engineering, or cloud data platform implementation experience.
  • Demonstrated experience designing, implementing, or significantly contributing to a new data platform, lakehouse, data warehouse, or analytics environment; greenfield implementation experience is strongly preferred.
  • Strong working knowledge of Microsoft Fabric components including OneLake, Data Factory, Data Engineering, Data Warehousing, Data Science, Real-Time Analytics, and Power BI.
  • Experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure SQL, Synapse, Azure Databricks, Key Vault, RBAC, and related Azure security and governance capabilities.
  • Hands-on experience with Apache Spark, PySpark, SQL, Python, Delta Lake, lakehouse architecture, data warehousing concepts, and structured/unstructured data processing.
  • Ability to design reliable ingestion patterns from business systems, APIs, databases, flat files, and cloud sources, including incremental loads, change data capture, validation, and error handling.
  • Experience preparing clean, governed, documented, and repeatable datasets for AI/ML training, analytics, forecasting, decision support, or advanced automation use cases.
  • Strong understanding of data governance, security, access controls, privacy, lineage, metadata, data quality, auditability, and responsible AI data boundaries.
  • Experience building curated datasets, semantic models, dimensional models, star schemas, KPI definitions, and Power BI-ready data products for business users.
  • Familiarity with DevOps practices for data platforms, including version control, CI/CD, infrastructure as code, monitoring, alerting, performance tuning, cost management, and production support.
  • Strong communication skills with the ability to work directly with business stakeholders, analysts, AI developers, and technical teams to translate business needs into scalable data solutions.
  • Preference for applicants who have worked in smaller teams or broad-ownership roles where they were responsible for architecture, implementation, stakeholder engagement, governance, and ongoing support rather than only maintaining an existing system.
  • Headquartered in Conyers, Georgia, Batchelor & Kimball takes pride in partnering with our clients to deliver excellent results from engineering and construction to operations and maintenance. We offer design/build and turnkey construction services, including teaming with selected subcontractors for electrical and general construction.
  • There’s not a lot of BS here, and not a lot of turnover. Good people work at Batchelor & Kimball. We’re good at our jobs, and good to each other. We have high expectations because the work is challenging, but we know the most valuable thing about the work is the people who do it. If this sounds like a good fit for you, we’d like to meet you! If you are looking to grow your career and thrive in a team environment, then we invite you to apply for this position.

Preferred Qualifications

  • Demonstrated experience designing, implementing, or significantly contributing to a new data platform, lakehouse, data warehouse, or analytics environment; greenfield implementation experience is strongly preferred.

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