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Contract Databricks Data Engineer Jobs in Nevada

A Senior Data Engineer is responsible for designing, building, and managing data platforms and ... Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar ...

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Nevada? The most popular types of Databricks Data Engineer jobs in Nevada are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Nevada? For Contract Databricks Data Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Contract Databricks Data Engineer jobs? Cities in Nevada with the most Contract Databricks Data Engineer job openings:

Sr. Data Engineer

KēSTA I.T.

Las Vegas, NV

$125K - $151K/yr

Full-time

Posted 24 days ago


Job description

Come build, innovate, disrupt, and thrive!


KēSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client.


Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.



A Senior Data Engineer is responsible for designing, building, and managing data platforms and tools that enable efficient processing, analysis, and utilization of large-scale data. This role focuses on developing scalable data pipelines, ensuring data quality, and supporting the deployment of advanced analytics and machine learning solutions into production environments.


This individual partners closely with business and technical teams to enhance data models, improve accessibility, and drive data-informed decision-making. The role supports both real-time and batch processing capabilities and translates complex business requirements into scalable, high-performing data solutions.


Responsibilities

  • Design, develop, and maintain real-time and batch data pipelines to process large volumes of data
  • Build and support tools for data ingestion, transformation, curation, and provisioning across first- and third-party data sources
  • Develop advanced data products and APIs to enable analytics, reporting, and data science use cases
  • Monitor system performance, conduct testing, troubleshoot issues, and implement enhancements
  • Lead data analysis efforts and design data architectures that support business intelligence, AI/ML, and data product initiatives
  • Design and implement scalable data platform architectures that meet organizational needs for performance, flexibility, and reliability
  • Ensure solutions meet operational requirements such as scalability, maintainability, extensibility, and data integrity
  • Provide technical leadership, mentorship, and guidance to team members
  • Lead code reviews and promote best practices, including test-driven development and CI/CD


Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field
  • Master’s degree preferred
  • 8+ years of experience in data engineering, including full-stack data capabilities
  • 10+ years of experience in software development or programming
  • 5+ years of experience working with cloud platforms (e.g., Azure, AWS, GCP)
  • Strong SQL expertise and data querying skills


Technical Skills:

  • Proficiency in Python and experience with CI/CD practices
  • Experience with machine learning pipelines and production deployment (preferred)
  • Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar technologies)
  • Strong background in infrastructure and cloud-based data architectures
  • Experience designing and building data pipelines for big data, NoSQL, and data warehouse solutions
  • Familiarity with real-time streaming technologies (e.g., Kafka, Event Hub or similar)
  • Experience with RESTful APIs, messaging systems, and integration patterns
  • Hands-on experience with cloud-native data services (e.g., data lakes, ETL tools, streaming services, analytics platforms)
  • Strong expertise in data architecture and data modeling
  • Experience implementing data quality frameworks and data governance practices
  • Familiarity with BI and visualization tools (e.g., Power BI, Tableau or similar)


Additional Qualifications:

  • Experience working in Agile environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to occasionally support off-hours work as needed



About KēSTA I.T.:


Our name says it all; KēSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!


KēSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!


Where do you want to go? We've got the keys! ~ KēSTA I.T.


WWW.KeSTAIT.COM