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Contract Databricks Data Engineer Jobs in Collierville, TN

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Document data lineage, transformations, and data contracts to support governance, audit readiness ...

Intellivo

Senior Data Engineer

Memphis, TN

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Document data lineage, transformations, and data contracts to support governance, audit readiness ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... Document data lineage, transformations, and data contracts to support governance, audit readiness ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... client contracts. • Document data lineage, transformations, and data contracts to support ... ML Engineering and Data Science to deliver features that support model retraining, scoring ...

3B Staffing LLC

AI Engineer

Memphis, TN · On-site

This long-term contract opportunity is ideal for someone who enjoys hands-on implementation ... Design and maintain AI data pipelines and orchestration systems with an emphasis on reliability ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Collierville, TN

Contract Databricks Data Engineer information

See Collierville, TN salary details

$39.4K

$114.7K

$157K

How much do contract databricks data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for contract databricks data engineer in Collierville, TN is $114,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $121,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Contract Databricks Data Engineer jobs in Collierville, TN look for? The top searched job categories for Contract Databricks Data Engineer jobs in Collierville, TN are:
What cities near Collierville, TN are hiring for Contract Databricks Data Engineer jobs? Cities near Collierville, TN with the most Contract Databricks Data Engineer job openings:
Contract Databricks Data Engineer jobs near you
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 3 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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