Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Summary
We are seeking an experienced Data Engineer with strong expertise in Databricks, Apache Airflow, Python, and PySpark to design, build, and maintain scalable, high-performance data solutions. The ideal candidate will be responsible for developing efficient data pipelines, orchestrating workflows, and ensuring the reliability and quality of data systems that support analytics and business operations.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark Build and manage workflow orchestration using Apache Airflow Develop and optimize data processing solutions on Databricks, leveraging Spark and Delta Lake Perform data ingestion from multiple sources (databases, APIs, files, cloud systems) Implement data transformations, cleansing, and aggregation to support downstream analytics Monitor, troubleshoot, and resolve job failures and performance issues Optimize jobs for performance, scalability, and cost efficiency Ensure data quality, consistency, and governance across all pipelines Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions Maintain proper documentation for workflows, pipelines, and data models Support deployment processes and ensure smooth release of data solutions
Required Skills & Qualifications
Strong hands-on experience in Python programming Expertise in PySpark and Apache Spark for large-scale data processing Experience with Apache Airflow for workflow scheduling and orchestration Practical experience in Databricks platform (notebooks, jobs, clusters, Delta Lake) Solid understanding of ETL/ELT concepts and data pipeline architecture Proficiency in SQL and working with relational and non-relational databases Experience working with cloud platforms (Azure preferred; AWS/GCP acceptable) Strong debugging and root cause analysis skills Familiarity with data modeling concepts Understanding of data security and governance best practices
Preferred Qualifications
Experience with Azure Data Factory, Azure Data Lake, or similar services Knowledge of CI/CD pipelines and DevOps practices Exposure to streaming technologies (Kafka, Spark Streaming, etc.) Experience with version control tools (Git) Familiarity with monitoring tools and logging frameworks
Key Competencies
Strong analytical and problem-solving skills Ability to work independently and take ownership Proactive approach in identifying and resolving issues Good communication and collaboration skills Ability to manage multiple tasks and priorities effectively
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.
The base compensation range for this role in the posted location is $76,200 to $176,590.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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.
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.
