Software Engineer

Capgemini Engineering; Canada; Remote; CAD 72.000 - 139.000; Vollzeit

Benefits dieser Stelle

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Zusammenfassung

Capgemini Engineering in Canada is seeking a highly skilled Software/Data Engineer to build scalable data processing solutions and maintain data pipelines using Apache, SQL, Python, and Scala.

You will optimize ETL workloads, work with Parquet/Hive/HDFS, and collaborate across data, software, and product teams to deliver data-driven solutions. Remote work in Canada with competitive compensation and benefits.

Qualifikationen

• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
• 5+ years of professional software engineering or data engineering experience.
• Strong hands-on experience with: Apache /SQL/Python/Scala.
• Strong understanding of Hadoop ecosystem technologies, including: Hive/Parquet/HDFS
• Experience developing and optimizing ETL pipelines processing large-scale datasets.
• Strong SQL programming and query optimization skills, familiarity with Linux environments and shell scripting.
• Experience using version control systems such as Git.
• Preferred qualifications include experience with AWS cloud platforms, distributed computing and large-scale data architecture, Airflow orchestration, data lake and lakehouse environments, data storage formats such as Iceberg, ORC, and Avro, and containerization technologies including Docker and Kubernetes.

Aufgaben

• Design, develop, and maintain scalable data processing applications using Apache and SQL.
• Build high-performance ETL and data transformation pipelines using Python and Scala.
• Develop and optimize batch and near-real-time data processing workflows.
• Work with large-scale data sets stored in Parquet, Hive, and distributed storage systems.
• Write efficient SQL queries and optimize execution plans for performance and scalability.
• Design data models, partitioning strategies, and storage layouts to improve processing efficiency.
• Collaborate with Data Engineers, Software Engineers, Data Scientists, and Product Teams to deliver data-driven solutions.
• Implement automated testing, monitoring, and deployment processes for data applications.
• Ensure data quality, reliability, security, and governance standards are met.

Kenntnisse

Apache/SQL/Python/Scala

Hadoop ecosystem (Hive/Parquet/HDFS)

SQL optimization

Linux & shell scripting

Git version control

Team collaboration

Cloud (AWS)

Airflow orchestration

Docker & Kubernetes

Ausbildung

Bachelor's or Master’s in CS/Engineering

Tools

Docker

Kubernetes

Airflow

Iceberg

ORC

Avro

Jobbeschreibung

Location

• This is a remote position in Canada.

About the job you’re considering

We are seeking a highly skilled Software Engineer with strong expertise in Apache, SQL, Python, Scala, Hive, and Parquet to build and maintain large-scale data processing solutions. The ideal candidate will have experience developing distributed data applications, optimizing big data workloads, and building reliable data pipelines that support analytics, reporting, and machine learning initiatives.

Your Role:

• Design, develop, and maintain scalable data processing applications using Apache and SQL.
• Build high-performance ETL and data transformation pipelines using Python and Scala.
• Develop and optimize batch and near-real-time data processing workflows.
• Work with large-scale data sets stored in Parquet, Hive, and distributed storage systems.
• Write efficient SQL queries and optimize execution plans for performance and scalability.
• Design data models, partitioning strategies, and storage layouts to improve processing efficiency.
• Collaborate with Data Engineers, Software Engineers, Data Scientists, and Product Teams to deliver data-driven solutions.
• Implement automated testing, monitoring, and deployment processes for data applications.
• Ensure data quality, reliability, security, and governance standards are met.

Your skills and experience

• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
• 5+ years of professional software engineering or data engineering experience.
• Strong hands‑on experience with: Apache /SQL/Python/Scala.
• Strong understanding of Hadoop ecosystem technologies, including: Hive/Parquet/HDFS
• Experience developing and optimizing ETL pipelines processing large-scale datasets.
• Strong SQL programming and query optimization skills, familiarity with Linux environments and shell scripting.
• Experience using version control systems such as Git.
• Preferred qualifications include experience with AWS cloud platforms, distributed computing and large-scale data architecture, Airflow orchestration, data lake and lakehouse environments, data storage formats such as Iceberg, ORC, and Avro, and containerization technologies including Docker and Kubernetes.

The base compensation range for this role in the posted location is: CAD72,056 - CA138,940/year

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.