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Intern Databricks Data Engineer Jobs in Utah (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Manager

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.

Packsize International

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or ...

Sunwest Bank

Data Engineer

Draper, UT

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or ...

Pwc

GenAI Python Systems Engineer-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design and manage cloud-based data and AI infrastructure (Databricks preferred), including ...

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All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Utah

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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Intern Databricks Data Engineer jobs near you

Senior Data Engineer (Databricks & Cloud Analytics

Judge Group, Inc.

Salt Lake City, UT • On-site

$60 - $65/hr

Other

Posted 27 days ago

Job description

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
  • 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!

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