What are the responsibilities and job description for the Senior Data Engineer (Databricks & Cloud Analytics position at Judge Group, Inc.?
Location: Salt Lake City, UT Salary: $60.00 USD Hourly - $65.00 USD Hourly Description:
About the Role
We are seeking an experienced Senior Data Engineer to design, develop, and support enterprise-scale data solutions that enable analytics, reporting, and business decision-making. In this role, you will collaborate with solution architects, business analysts, data scientists, and stakeholders to build scalable cloud-based data platforms and high-performance data pipelines using modern data engineering technologies. The position requires expertise in Databricks, Apache Spark, cloud analytics platforms, and enterprise data integration within an Agile development environment.
Responsibilities
Qualifications
Preferred Skills
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
About the Role
We are seeking an experienced Senior Data Engineer to design, develop, and support enterprise-scale data solutions that enable analytics, reporting, and business decision-making. In this role, you will collaborate with solution architects, business analysts, data scientists, and stakeholders to build scalable cloud-based data platforms and high-performance data pipelines using modern data engineering technologies. The position requires expertise in Databricks, Apache Spark, cloud analytics platforms, and enterprise data integration within an Agile development environment.
Responsibilities
- Design, develop, test, deploy, and maintain enterprise data engineering solutions using cloud and big data technologies.
- Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory.
- Build and maintain high-performance data ingestion, transformation, and integration frameworks for analytics and reporting.
- Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
- Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
- Build and integrate RESTful APIs, event-driven architectures, and SOAP-based services to support enterprise data exchange.
- Develop and maintain streaming and messaging solutions using Apache Kafka.
- Monitor, troubleshoot, and optimize production data pipelines, perform root cause analysis, and implement long-term solutions.
- Apply data quality, governance, security, and performance best practices across data platforms.
- Manage source code using Git and follow CI/CD and DevOps practices.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
- Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
- Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience.
- 6 years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives.
- Strong hands-on experience with:
- Databricks, Apache Spark (PySpark), Python, SQL, Scala
- Experience with the Databricks ecosystem, including:
- Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, MLflow, Databricks Jobs
- Strong SQL development skills, including query optimization and performance tuning.
- Experience designing and implementing ETL/ELT solutions using Azure Data Factory or similar cloud integration platforms.
- Experience with Apache Kafka or other event streaming technologies.
- Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services.
- Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms.
- Experience using Git for source code management and collaborative software development.
- Experience working in Linux environments, including shell scripting and command-line utilities.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies.
- Demonstrated ability to manage multiple priorities while delivering high-quality solutions.
- Proven ability to work independently while mentoring team members and contributing to technical leadership.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Ability to collaborate effectively with cross-functional teams and stakeholders.
Preferred Skills
- Infrastructure as Code (IaC) tools such as Terraform.
- CI/CD pipeline implementation using Azure DevOps, GitHub Actions, or similar platforms.
- Microsoft Azure cloud services.
- Azure Synapse Analytics.
- Microsoft Fabric.
- Power BI.
- Data governance and metadata management.
- DataOps and MLOps practices.
- Enterprise data warehousing.
- Master Data Management (MDM).
- Experience working with financial services or public sector data environments.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
Salary : $60 - $65