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Data Engineer

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full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Illinois • United States

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Tech Stack

ApacheAzureCloudDockerPySparkPythonSparkSQLUnity

About the role

  • 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.

Requirements

  • Bachelor’s degree in computer science or related field
  • 4 years of experience in data engineering, data platform development, or cloud data solutions
  • 2 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
  • Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing
  • 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
  • Equal Opportunity Employer
  • Reasonable accommodation due to a disability
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PySparkSpark SQLSQLPythonDelta Lakedata ingestion pipelinesdata modelingdata transformation workflowsDevOpsautomated testing
Soft Skills
communication skillsclient engagementproblem-solvingteam collaborationquick learning
Certifications
Bachelor’s degree in computer science