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Closed on October 24, 2026.

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Capgemini Sogeti

Data Engineer

Capgemini Sogeti
New York, NY $70k - $95k/yr Full time Posted 1mo ago
Analytics Big Data Bigdata Business Analytics Business Intelligence Cloud Data Engineering Cloud Data Platform Cloud Platform Cloud Platforms Data Data Analysis Data Analytics Data Architecture Data Engineer Data Engineering Data Integration Data Pipeline Data Platform Data Processing Data Visualization Data Warehouse Database Databases Databricks Design Digital Marketing ETL Hr Technology Informatica Information Technology (IT) Microsoft Power BI Power Platform Programming Programming Language Programming Languages Reporting and Analytics Spark SQL Visual Design
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Job Description

What you can expect

Capgemini Sogeti supports data engineering work that connects scalable cloud infrastructure with reliable data flows. This role is based in New York, NY (onsite) and offers a salary range of USD 70,000 - 95,000 per year. You will design, build, and optimize data pipelines and architectures across AWS, with collaboration across data science, analytics, and DevOps teams.

Benefits and support

  • Paid time off based on employee grade (A-F), defined by policy: Vacation 12-25 days depending on grade, Company paid holidays, Personal Days, and Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans such as 401(k) in the U.S. (or RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Additional benefits as provided by local policy and eligibility

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS
  • Develop and optimize batch and real-time data processing systems
  • Ensure data quality, integrity, and governance across systems
  • Translate business requirements into technical solutions with stakeholders
  • Implement data integration across multiple sources and formats
  • Monitor and troubleshoot data workflows for performance and reliability
  • Optimize costs and performance of AWS/GCP data infrastructure
  • Collaborate with data scientists, analysts, and DevOps teams

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 3-8+ years of experience in data engineering or related roles
  • Proficiency in SQL and at least one programming language: Python, Scala, or Java
  • Experience with ETL tools and frameworks
  • Strong understanding of data modeling, warehousing, and big data concepts
  • Familiarity with distributed processing frameworks such as Spark and Hadoop
  • Experience with CI/CD pipelines and version control using Git

Technologies you may work with

AWS, GCP, Databricks, Snowflake, dbt, SQL, Python, Scala, Java, ETL tools, Spark, Hadoop, Git, CI/CD pipelines, Kafka, Terraform, CloudFormation, Power BI, Tableau

Preferred qualifications

  • Experience with Apache Spark, Kafka, or Databricks
  • Knowledge of data governance, security, and compliance
  • Familiarity with infrastructure as code such as Terraform and CloudFormation
  • AWS certifications such as AWS Certified Data Engineer or Solutions Architect
  • Experience with BI tools including Power BI and Tableau

Key competencies

  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Attention to detail and a commitment to data quality
  • Ability to work in a fast-paced, agile environment

Nice to have

  • Experience with machine learning data pipelines
  • Knowledge of real-time analytics and streaming architectures
  • Exposure to multi-cloud or hybrid environments

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