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Associate Azure Databricks Jobs in Memphis, TN (NOW HIRING)

All JobsAssociate Azure Databricks JobsAssociate Azure Databricks Jobs in Memphis, TN

Associate Azure Databricks information

See Memphis, TN salary details

$44.7K

$105.1K

$167.6K

How much do associate azure databricks jobs pay per year?

As of Jul 26, 2026, the average yearly pay for associate azure databricks in Memphis, TN is $105,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $126,300.00 per year, depending on experience, location, and employer.

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Azure Databricks jobs in Memphis, TN? The most popular types of Azure Databricks jobs in Memphis, TN are:
What are popular job titles related to Associate Azure Databricks jobs in Memphis, TN? For Associate Azure Databricks jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Associate Azure Databricks jobs in Memphis, TN look for? The top searched job categories for Associate Azure Databricks jobs in Memphis, TN are:
Associate Azure Databricks jobs near you
Infographic showing various Associate Azure Databricks job openings in Memphis, TN as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, and 30% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $105,073 per year, or $50.5 per hour.
Senior Full Stack Java Developer with Databricks

Senior Full Stack Java Developer with Databricks

Zealogics

Memphis, TN • On-site

$46.75 - $60.50/hr

Other

Posted 2 days ago

Job description

Senior Full Stack Java Developer with Databricks

We are seeking a Senior Full Stack Java Developer with Databricks to design and develop a modern publication management system from the ground up. This role will contribute across the full technology stack, including user interfaces, APIs, business logic, and data engineering components, to deliver a scalable, intuitive, and maintainable platform supporting publication tracking, curation workflows, reporting, analytics, and integrations.

Key Responsibilities
  • Design and develop end-to-end features across frontend, backend, and data layers.
  • Build modern, responsive user interfaces for publication management and curation workflows.
  • Develop and maintain backend services, APIs, and business logic using Java and related technologies.
  • Design, develop, and optimize data processing pipelines using Databricks, Apache Spark, and Delta Lake.
  • Collaborate with architects to implement modern architectural patterns and design standards.
  • Translate business and user requirements into scalable technical solutions.
  • Implement data models and persistence for complex bibliographic and metadata-driven systems.
  • Develop and maintain ETL/ELT workflows for ingesting, transforming, and managing large volumes of publication and research data.
  • Integrate with internal and external systems, data sources, and third-party platforms.
  • Write clean, testable, and well-documented code.
  • Participate in code reviews and contribute to engineering best practices.
  • Troubleshoot, optimize, and improve application performance, data processing efficiency, and usability.
Required Skills & Experience

  • Proven experience as a Senior Full Stack Software Engineer on enterprise-scale applications.

  • Strong proficiency in:

    • Frontend: React (preferred), Angular, or Vue.js
    • Backend: Java (Spring Boot), REST APIs, Microservices
    • Data Engineering: Databricks, Apache Spark (PySpark/Spark SQL), Delta Lake

  • 3+ years of hands-on experience with Databricks in enterprise environments.

  • Experience designing, developing, and optimizing data pipelines and ETL/ELT processes using Databricks.

  • Strong experience working with Apache Spark, Delta Lake, Databricks Workflows, and Lakehouse Architecture.

  • Experience building and consuming RESTful APIs.

  • Solid understanding of modern software development practices, including:

    • Microservices-based architectures
    • API-first design
    • Agile development methodologies

  • Experience with relational and/or NoSQL databases and data modeling.

  • Experience integrating Databricks with cloud platforms such as Azure, AWS, or Google Cloud Platform.

  • Familiarity with cloud-native or hybrid deployment environments.

  • Strong understanding of data governance, data quality, performance tuning, and monitoring within Databricks environments.

  • Strong problem-solving skills and attention to detail.

  • Excellent communication and collaboration skills.

Preferred Qualifications
  • Experience with greenfield development and phased delivery models.
  • Familiarity with publication management systems and research information systems.
  • Knowledge of scholarly metadata standards such as DOI, ORCID, MeSH, PubMed, or similar.
  • Experience building dashboards, reports, analytics, or data visualization solutions.
  • Experience with Unity Catalog, Delta Live Tables (DLT), MLflow, and Databricks Lakehouse Platform.
  • Databricks Certification (Associate or Professional Data Engineer) is a plus.
  • Background in research, healthcare, academic, or life sciences environments.
Nice-to-Have
  • Exposure to AI/ML-assisted features, such as metadata enrichment, intelligent classification, or recommendation systems.
  • Experience with CI/CD pipelines, containerization, and DevOps tooling.
  • Understanding of security, accessibility, and data governance best practices.
What Success Looks Like
  • Delivery of intuitive, high-quality user interfaces, robust backend services, and scalable Databricks-based data solutions.
  • Well-architected, maintainable code and data pipelines supporting long-term scalability.
  • Strong collaboration with architects, analysts, data engineers, and stakeholders.
  • Contributions that measurably improve usability, efficiency, analytics capabilities, and system reliability.

Must-Have Technologies: Java, Spring Boot, React, Databricks, Apache Spark, SQL, REST APIs, Microservices, Cloud (Azure/AWS).

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