Databricks Data Engineer

Capgemini Government Solutions (CGS) LLC is seeking a highly skilled and experienced Databricks Engineer to collaborate with our cross-functional technical and analytical project team and set up, architect, develop, and test Databricks solutions. The successful applicant will have the opportunity to apply and grow their skillset in project management, people leadership, and solution development in Databricks. This individual will join our Data and AI practice in the DC Metro Area to help our clients to accomplish their mission and achieve their objectives.

At Capgemini, we are committed to our staff's professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what's possible to the Federal Government.

Job Responsibilities:

As a Databricks Engineer, you will:

• Install, configure, and administer Databricks instance, including managing connections and interfaces with external applications and data repositories
• Develop and develop Databricks solutions including models, proofs of concept, and prototypes
• Collaborate with data scientists to test and validate models and outputs
• Implement data transfer between external applications, databases, and Databricks
• Optimize performance and cost of pipelines and solutions
• Implement logging, monitoring, and data quality checks
• Produce technical documentation
• Support additional Data and AI practice activities such as demand planning, requirement gathering, delivery-led sales, people development, and solution development

Required Qualifications:

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  • U.S. Citizenship is required
  
  
  
  
  • Eligible to obtain and maintain a Government Security Clearance
  • Be at client site full time in Washington, DC metro area
  
  
  
  
  • Bachelor's Degree or higher is required, preferably in a relevant field such as information technology, information systems, information management, computer engineering, computer science, data analytics, or data science
  • Minimum of 6 years of total professional experience
  • Demonstrated capability in:
  
  
  
  
  • Hands-on installation, configuration, and administration of Databricks instances
  • Optimizing performance and cost of Databricks compute resources, workflows, Delta Lake, and APIs
  • Leveraging Python, R, or SQL to develop data pipelines, ETL processes, data validations or enrichment
  • Supporting model development in Databricks including extraction of data from relational stores such as PostgreSQL or SQL Server
  • Coordinating and influencing stakeholders, managing communications in fast-paced operational environments, and managing expectations
  
  
  
  
  • Excellent verbal and written communication skills
  • Ability to multi-task and stay flexible in a dynamic work environment
  
  
  
  

  Preferred Qualifications/Skills

  
  
  
  
  • Currently active government security clearance
  • Databricks certifications
  • Experience with CSPs (Azure and AWS)
  • Knowledge of federal regulations (FedRAMP, HIPAA, etc.)
  
  
  
  

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

All qualified applicants will be considered for employment based on their skills, and merit.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 120k-135k.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.