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Senior Business Analyst , Vice President
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United States
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Expertise in utilizing data analysis and query tools such as SQL
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- $80,000 to $140,000 USD / year
Experience with programming languages, such as R and Python, for statistical modeling, and SQL for complex queries
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Added 6 mins ago
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Technical Account Manager
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Hand on experience with SQL, Stored Procedure, VB Script, XML
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Added 18 mins ago
Media Analytics Manager
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Continuously identify opportunities to improve system performance and developer experience
Added 21 mins ago
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Sr. Software Engineer
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Continuously identify opportunities to improve system performance and developer experience
Added 22 mins ago
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Enterprise Data Management Analyst
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- $64,869.4 to $94,789.6 USD / year
…integrations, including the ability to write, execute, and interpret SQL queries for data retrieval, analysis, validation, and…
Added 23 mins ago
Data Scientist (LAP)
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…cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into…
Added 28 mins ago
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Advanced knowledge of tables and structured query language (SQL) concepts.
Added 28 mins ago
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…discovery, conversational capabilities, workflow automation, developer productivity, and more. Our mission is to increase the productivity and efficiency across Apple's Business Units. As…

Capgemini

Associate Data Engineer

Pittsburg, AR, United States

The base compensation range for this role in the posted location is: $54,380 - $99,650.

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Job details

Pay: The base compensation range for this role in the posted location is: $54,380 - $99,650.
Apply by: Nov 1, 2026
Posting language: English
Posted: Sep 29, 2026

Original job description

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 Location:

This is a hybrid role based in Philadelphia or Reading PA.

About the job you're considering

The Associate Data Engineer supports the design, development, testing, and maintenance of data integration solutions that enable reliable, scalable, and secure movement of data across enterprise platforms. Working under guidance from senior team members, the Associate Data Engineer develops ETL/ELT processes, data pipelines, and workflows while ensuring adherence to data quality, security, and governance standards. This role provides an excellent foundation for building expertise in cloud data platforms, analytics, and modern data engineering practices.

Your role

Develop and maintain ETL/ELT jobs, workflows, and data pipelines.
Perform data extraction, transformation, and loading from multiple source systems.
Create and execute unit tests, integration tests, and data validation scripts.
Support User Acceptance Testing (UAT) and assist in issue resolution.
Monitor data pipelines and troubleshoot data processing issues.
Perform data cleansing, profiling, and validation activities.
Develop SQL queries, stored procedures, and scripts to support reporting and analytics.
Assist in implementing data quality controls and governance standards.
Support cloud migration and modernization initiatives.
Collaborate with solution architects, business analysts, and senior data engineers in Agile delivery teams.

Skills and experience

SQL development and query optimization.
Basic Python programming and scripting.
Understanding of relational databases.
Familiarity with ETL/ELT concepts.
Basic understanding of data warehousing concepts.
Knowledge of data quality and validation techniques.
Understanding of Agile development methodologies.
Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms.
Cloud platforms such as Azure, AWS, or GCP.
Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools.
Exposure to Spark, Hadoop, or Kafka.
Knowledge of DevOps and DataOps practices.
Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.

The base compensation range for this role in the posted location is: $54,380 - $99,650.

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.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

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More about this job

Skills

Data engineering
Troubleshoot
Process data
Perform data cleansing
SQL
Reporting
Agile
Python
Data warehousing
Agile development
Snowflake
Microsoft Azure
Databricks
BigQuery
Amazon Redshift
AWS
Google Cloud
Apache Airflow
Informatica
SQL Server Integration Services
Apache Spark
Apache Hadoop
Apache Kafka
DevOps
Computer science
Computer technology
Onboarding

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