DataJobs.io
← Back to all jobs
Capgemini

Data Engineer

Capgemini
New York, NY $70k - $95k/yr Full time Posted 15d ago
Apache Airflow Big Data Bigdata Cloud Cloud Data Engineering Cloud Data Platform Cloud Infrastructure Cloud Platform Cloud Platforms Cloud Technology Data Data Analysis Data Analytics Data Architecture Data Engineer Data Engineering Data Integration Data Lakehouse Data Pipeline Data Pipelines Data Platform Data Processing Data Warehouse Database Databases Databricks DevOps DevSecOps Engineer ETL Informatica Information Technology (IT) Infrastructure As Code Kafka Spark SQL Stream Processing Streaming Data Workflow Orchestration
Apply Now

Job Description

Capgemini is seeking a Data Engineer in New York, NY (onsite) to design, build, and optimize scalable data pipelines and architectures on cloud platforms. This role supports analytics, reporting, and data-driven decision-making by delivering reliable ETL/ELT workflows, batch and real-time processing, and strong data governance.

Along with a competitive salary range of USD 70,000 - 95,000 per year, you will have the opportunity to collaborate across data science, analytics, DevOps, and engineering teams while improving performance, quality, and cost efficiency across AWS and related infrastructure.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services
  • Develop and optimize batch and real-time data processing systems
  • Ensure data quality, integrity, and governance across systems
  • Translate business requirements into technical solutions in partnership with stakeholders
  • Implement data integration solutions 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 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
  • Solid understanding of data modeling, warehousing, and big data concepts
  • Familiarity with distributed processing frameworks: Spark and Hadoop
  • Experience with CI/CD pipelines and version control (Git)

Technologies

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

Benefits

  • Paid time off based on employee grade (A-F): Vacation 12-25 days depending on grade, plus company paid holidays, personal days, and sick leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (for example, 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

Preferred Qualifications

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

Key Competencies

  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities
  • Attention to detail and 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

Similar Jobs