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

• 2 years of experience in data engineering, software development, analytics, or related technical roles.
• 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: $75,000 - $95,000.

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.