Jobs / Cap***
Senior Data Engineer / Analytics Engineer
Cap*** · Chicago, IL, United States
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Chicago, IL, United States110,841-145,000 USD/yearlyHybrid
Remuneration
110,841-145,000 USD/yearly
Location
Chicago, IL, United States
Visa sponsorship
Sponsors visa
Job summary
JOB LOCATION - CHICAGO IL (DAY ONE ONSITE - HYBRID) ABOUT THE ROLE - The goal of analytics engineering team within the Service Analytics and AI organization is to build curated data products leveraging data from structured and unstructured enterprise data sources to enable business intelligence, data science, and advanced analytics.
Benefits
Like adoption assistance, surrogacy, and cryopreservationSocial well-beingLike subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDISCLAIMERCapgemini is an Equal Opportunity Employer encouraging diversity in the workplacThis is a general description of theTo eligible employees.Note: No amount of pay is considered to be wages or compensation until such amouFor this role, the gross annual base salary range is $110841 to $145000 for a fu
Qualifications
- translate them into actionable technical specifications, and deliver impactful data solutions.
- Stakeholder Communication: Articulate complex technical concepts to non-technical stakeholders, fostering alignment and ensuring a shared understanding of data initiatives across teams.
- REQUIRED
- 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, Cap*** will consider reasonable accommodations that might involve varying job
- and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
- Cap*** is committed to providing reasonable accommodations during our recruitment process.
- If you need assistance or accommodation, please reach out to your recruiting contact.
- SALARY TRANSPARENCY
- Cap*** discloses salary range information in compliance with state and local pay transparency obligations.
- 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,
Responsibilities
- Data Pipeline Development: Lead the design, development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems.
- Analytics Engineering Best Practices: Establish and uphold best practices for data engineering, including coding standards, data governance, performance optimization, and automation strategies.
- Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies.
- ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency.
- System Monitoring: Proactively monitor and troubleshoot data pipelines, ensuring high availability, reliability, and performance across all data engineering workflows.
- Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of analytics engineering processes.
- Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand
Skills
Communication
Degrees
Associate
Industry
AutomotiveEducationEnergyHealthcareInsuranceLogistics
Company size
EnterpriseSmb