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Contract Databricks Data Engineer information

What are 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 is a contract Databricks data engineer?

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 skills and qualifications are needed to thrive as a contract Databricks data engineer?

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 Kentucky? The most popular types of Databricks Data Engineer jobs in Kentucky are:
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Contract Databricks Data Engineer jobs near you

Full Stack lead Developer (Java, Angular, Scala)

Cognizant Technology Solutions

Louisville, KY • On-site

$50.50 - $65/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Full Stack lead Developer (Java, Angular, Scala)
We are seeking a highly skilled Full Stack Engineer with 3+ years of experience in Angular and Java, along with hands-on exposure to Scala and Apache Spark, to join our team. The ideal candidate will have expertise in Angular (TypeScript, RxJS), Java (Spring Boot, Spring MVC), RESTful API development, and database technologies (SQL and NoSQL). You will play a key role in designing, developing, and delivering scalable end-to-end solutions, spanning responsive frontend applications, robust backend services, and efficient data processing pipelines, while collaborating with cross-functional teams to drive innovation and business success.
Important Disclaimers:
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
In this role, you will:
Frontend (Angular)
  • Design and develop dynamic, responsive web applications using Angular
  • Build reusable, modular components and Angular modules
  • Manage application state and data flow using RxJS and NgRx/NgXS
  • Integrate RESTful APIs and handle asynchronous data streams
  • Ensure performance optimization, lazy loading, and accessibility standards
  • Collaborate with UX/UI designers to deliver intuitive user experiences

Backend (Java)
  • Design, develop, and maintain scalable backend services using Java (Spring Boot / Spring MVC)
  • Build and expose RESTful or GraphQL APIs for frontend consumption
  • Implement business logic, workflows, and data processing layers
  • Manage authentication and authorization using Spring Security, OAuth2, or JWT
  • Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.)
  • Optimize application performance, memory management, and scalability

Data / Big Data Engineering (Scala)
  • Develop data pipelines and processing workflows using Scala and Apache Spark
  • Build and maintain ETL/ELT processes for large-scale data processing
  • Work with distributed data systems such as Kafka, Hadoop, or Flink
  • Optimize Scala code for performance in high-throughput, low-latency environments
  • Collaborate with data engineers and analysts to deliver data-driven features
  • Work with cloud data platforms such as AWS EMR, Databricks, or GCP Dataproc

Work model: Remote
Location: Louisville - Kentucky
What you need to have to be considered:
  • 3+ years of hands-on experience with Java (Spring Boot, Spring MVC, Hibernate)
  • 3+ years of experience with Angular (TypeScript, RxJS, Angular CLI)
  • 1+ years of experience with Scala and Apache Spark
  • Strong knowledge of RESTful API design and development
  • Proficiency in SQL and NoSQL databases
  • Experience with Git version control and branching strategies
  • Familiarity with Agile / Scrum development methodology

Good to Have
  • Experience with microservices architecture and containerization (Docker, Kubernetes)
  • Knowledge of cloud platforms: AWS, Azure, or GCP
  • Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)

Salary and Other Compensation:
The annual salary for this position is between $120,500K - $141,500 K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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