Data Engineer Dremio

We are seeking an experienced Data Engineer with strong Dremio expertise to design, build, and optimize modern data lakehouse solutions. The ideal candidate will have hands-on experience with Dremio, SQL, PySpark, cloud-based data platforms, and large-scale analytical environments. The role involves enabling high-performance data access, implementing data engineering pipelines, and supporting business intelligence and AI/ML workloads., Design, develop, and maintain enterprise-scale data solutions using Dremio. Build semantic datasets, virtual views, and optimized data models for analytics consumption. Develop scalable ETL/ELT pipelines using Python, PySpark, and SQL. Optimize query performance using Dremio Reflections and data partitioning strategies. Collaborate with business analysts, data scientists, and BI teams to deliver trusted datasets. Support data governance, lineage, security, and access control initiatives. Troubleshoot production issues and perform root cause analysis. Implement best practices for data quality, monitoring, and operational excellence. Participate in architecture reviews and technology roadmap discussions.

Must Have

8+ years of Data Engineering experience. 3+ years of hands-on experience with Dremio. Strong SQL development and query optimization skills. Experience with Python and PySpark. Experience working with Data Lakes and Lakehouse architectures. Knowledge of Apache Iceberg, Parquet, Arrow, Delta Lake, or similar technologies. Experience with AWS, Azure, or GCP cloud platforms. Strong understanding of Data Warehousing concepts. Experience with Git, CI/CD pipelines, and Agile methodologies. Preferred

Experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery. Experience integrating BI tools such as Power BI, Tableau, or Qlik. Familiarity with Data Governance and Metadata Management tools. Knowledge of Generative AI or AI-ready data platforms. Experience with Kubernetes and containerized deployments. Nice to Have

AWS/Azure Data Engineering Certifications. Experience with Apache Iceberg Catalogs. Knowledge of Data Mesh and Modern Data Architecture patterns.’

The base compensation range for this role in the posted location is:65,000 - 75,000

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.

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., 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.