Navigant Consulting

Senior Data Engineer

San Antonio, Texas, USA · Senior · full-time

No sponsorshipDetected 84 days ago

PythonScalaSQLDatabricksAzureCI/CDMachine LearningSparkData EngineeringData ScienceMLOpsCybersecurityCommunication

About the role

Process large-scale structured and unstructured datasets using optimized batch and streaming pipelines leveraging Apache Spark, Delta Lake, Python, SQL, and Scala.

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and operational workloads.
Develop, maintain, and optimize scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake to ensure reliability, performance, and enterprise-grade data quality.
Collaborate with cross-functional teams to deliver enterprise solutions on Azure and support production deployments, monitoring, and operational excellence.
Implement data quality, performance tuning, and cost-optimization practices for data platforms and pipelines.
Hands-on experience designing, building, and operating Azure Lakehouse architectures using Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Azure Data Factory.
Experience designing, developing, and maintaining scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake, ensuring reliability, performance, and data quality at enterprise scale.

What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "Public Trust" security clearance
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience.
FIVE (5) or more years of experience as a Data Engineer, including THREE (3) years delivering enterprise solutions on Azure, specifically using Azure Databricks and Azure-native data services.
Experience with real-time and batch data processing.
Experience in Apache Spark, Delta Lake, Python, SQL, and Scala, with demonstrated ability to process large-scale structured and unstructured datasets using optimized batch and streaming pipelines.

Azure certifications (for example, Azure Data Engineer) or equivalent cloud/data platform certifications.
Experience implementing CI/CD for data engineering, MLOps pipelines, or data platform automation.
Familiarity with data governance, observability, and cost-optimization practices at scale.
Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies.
All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Must be able to OBTAIN and MAINTAIN a Federal or DoD "Public Trust" security clearance

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event.
Benefits include:

What You Will Need: Must be able to OBTAIN and MAINTAIN a Federal or DoD "Public Trust" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse

This listing is sourced directly from Navigant Consulting's careers page and normalized into a canonical job model.