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Senior Data Engineer

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. Work directly with clients to understand business goals, data challenges, and technical requirements .

Posted 3/29/2026full-timeAtlanta • Montana, Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
ApacheAzureCloudDockerPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact
  • Work directly with clients to understand business goals, data challenges, and technical requirements
  • Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
  • Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources
  • Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
  • Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
  • Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
  • Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams
  • Contribute to estimation, project planning, and delivery management for client engagements

Requirements

What you’ll need
  • Bachelor’s degree in computer science or related field
  • 8 years of experience in data engineering, data platform development, or cloud data solutions
  • 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies.

Benefits

Comp & perks
  • Equal opportunity employer
  • Reasonable accommodation for disabilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data engineeringdata platform developmentcloud data solutionsbatch data ingestionstreaming data ingestiondata transformation workflowsdata modelingDevOpsautomated testingdata governance
Soft Skills
communication skillsleadershipproject planningdelivery managementclient engagementproblem-solvingteam collaborationadaptabilitytechnical explanationlearning agility
Certifications
Bachelor’s degree in computer science