Associate Embedded Software Engineer - Data Engineer & Analyst

Capgemini; Redmond (WA); On-site; USD 46,000 - 99,000; Full time

Job summary

Capgemini is seeking an Associate Embedded Software Engineer to assist with data engineering and analysis. This role involves managing device performance, conducting data mining, and collaborating with product teams. Ideal candidates will have experience with large data sets and strong skills in SQL and related tools.

Benefits

Healthcare including dental and vision

Financial well-being programs (401(k))

Paid time off and paid holidays

Paid parental leave

Family building benefits (adoption assistance)

Social well-being benefits

Mentoring and coaching programs

Qualifications

• 1-2 years of experience in a relevant role.
• Background with large datasets (+100 Billion records).
• Strong experience with SQL and data analysis tools.

Responsibilities

• Support the product success team and manage device experience post-release.
• Conduct data mining and provide insights based on collected data.
• Collaborate with product owners and stakeholders.

Skills

Data mining

SQL

KQL

Power BI

DAX

Python

Statistics

Education

Bachelor's in Engineering

Job description

Job Description - Associate Embedded Software Engineer - Data Engineer & Analyst (080012)

Associate Embedded Software Engineer - Data Engineer & Analyst - 080012

About the job you’re considering
Data Engineer with strong reporting and analysis capabilities

Your role

o Support the product success team. Help manage device experience post release to market.
o The main function of this role is to parse through all data being collected, carry out data mining, and provide data insights.
o The role will consist of 50% data mining, looking at trends, completing investigations as needed, 40% meetings/collaboration with product owners/stakeholders, 10% miscellaneous

Your skills and experience
o 1-2 years of experience
o Degrees or certifications required: Bachelors in engineering is required
o Good to have statistics background
o Past experience working with large volumes of data (100 Billion+ records, 1 Billion+ users, etc.), managing multiple metrics and KPIs
o Strong experience with SQL (SQL Server/ Azure SQL), KQL (Kusto & Azure Data Explorer), Power BI, DAX, Python
o Basic understanding of statistics, hypothesis testing, AB experimentation

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities &

Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, 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.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations 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.

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 $46,400 - $98,280.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.