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Contract Databricks Developer Jobs in Nevada (NOW HIRING)

Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

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

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Nevada? The most popular types of Databricks Developer jobs in Nevada are:
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Vice President, Global Data Platforms

Aristocrat

Las Vegas, NV • On-site

Full-time

Posted 3 days ago

New


Job description

Job Summary:
Aristocrat is a world leader in gaming content and technology, and they are seeking a Vice President, Global Data Platforms. This role is responsible for defining and leading the global strategy and operational excellence of enterprise data platforms, focusing on advancing data capabilities that power analytics and AI.
Responsibilities:
• Define and drive the global data platform strategy ensuring aligned, scalable, secure, and cost-effective platforms. Communicate strategy, progress, and outcomes to executive leadership. Foster consensus and guide investment decisions focusing on value, prioritization, and cost efficiency.
• Proactively engage and influence business and IT leaders to shape data and platform direction for new initiatives, driving modern, scalable approaches over legacy patterns.
• Guide platform and data decisions that enable self-service, data literacy, and improved productivity, in partnership with Architecture and Governance.
• Establish and implement the technical roadmap for data platform modernization, AI-ready data and data capabilities in alignment with enterprise architecture, including the use of AI to improve engineering efficiency.
• Ensure data platforms are AI-ready, providing high-quality, well-structured, and discoverable data to support advanced analytics and machine learning.
• Collaborate across data, technology, and business teams to provide platform capabilities and data solutions.
• Establish clear operating models, roles, and decision frameworks to enable consistent execution, including standardization across platforms, technologies, and regions.
• Ensure high availability, performance, security, cost efficiency, and reliability of data platforms in line with organizational and high-impact client-driven and regulatory SLAs.
• Drive engineering and operational excellence by establishing automated and AI-enabled practices that ensure data quality, reliability, and speed of delivery within data platforms.
• Lead and develop a global organization of platform, engineering, and operations leaders and engineers, fostering accountability, collaboration, innovation, and continuous improvement.
Qualifications:
Required:
• 15+ years leading large-scale data platform or data engineering organizations, with a track record of delivering measurable business impact.
• Strong executive communication skills, with the ability to influence, drive alignment, and secure consensus for platform strategy and investments.
• Proven ability to define and implement strategic plans, drive technology alignment, and lead large-scale platform transformation initiatives.
• Deep technical expertise in modern data platforms and architectures (e.g., Snowflake, Databricks, Azure, GCP).
• Enablement of AI/ML use cases through data platforms, building AI-ready data foundations and using intelligent tools for engineering efficiency.
• Experience Leading high-performing engineering organizations, including encouraging an environment of responsibility, operational excellence, and ongoing improvement.
• Demonstrated success operating in high-SLA, client-facing environments, including implementing proactive, automated processes to ensure reliability, compliance, and performance at scale.
• Proven ability to collaborate effectively across data functions (e.g., Governance, Architecture, Product, Analytics, Data Science) and business partners to deliver aligned, high-impact outcomes.
• Ownership of platform financials, including budgeting, investment planning, and cost optimization.
• Experience managing strategic vendor and partner relationships, including contract oversight and performance.
Company:
Aristocrat Leisure Limited (Aristocrat) is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. Founded in , the company is headquartered in North Ryde, New South Wales, AU, , with a team of 5001-10000 employees. The company is currently Late Stage.