Title: Data_Engineer_Marketing
Location: Jersey City, NJ (presently WFH relocation required post-pandemic)/Remote
Employment Terms: Fulltime with benefits


  • Work closely with the Marketing function leaders to define marketing analytics strategy 
  • provide data analytics support for the design execution and measurement of campaigns 
  • Improve data and analytics footprint in the Marketing function Initially an individual contributor role but will require working across multi functional teams 
  • Should have a good mix of business strategy internal consulting and analytics execution capabilities Demonstrated ability to liaise with senior stakeholders 
  • Preferably strong Insurance sector experience 
  • Strong comms tech skills 
  • Experience 8 10 years Experience with measurements for campaign effectiveness 
  • Understanding of marketing media and campaigns Role Data Engineer Job Description 
  • Creation of data products for all consumers business users analysts and modelers 
  • Explore and understand data sets Visualize the data set determine whether the data set has enough information to answer the question that the business is asking 
  • Work with IT support to create ETL ELT interfaces to the data lake and create and visualize the data and data products on the data lake 
  • Building data pipelines integrating and scheduling ETL jobs using CI CD framework Implement required data transformation in the data lake 
  • Configure required security and data masking to a data set Support testing of data acquisition data set correlation and or model development Investigate and resolve interface issues 
  • Work with IT to harden and productionize the model interfaces and business procedures



  • Master s Bachelor s Degree in one of the following Engineering Statistical Analytics Data Science or Actuarial Science 
  • At least 5 years of relevant work experience in implementing data and analytics projects 
  • The resources must have domain technical experience in delivering data engineering solutions using data lake technology 
  • Experience with the following Hadoop CDH relational databases and SQL ETL development spark data validation and testing 
  • Data Warehousing ETL ELT to the Data Lake Using the Data Lake for data analysis Hadoop tools Hive Impala Pig Sqoop Hue Kafka etc Spark Python R java Docker Dakota 
  • Working experience in Shell Scripts Oozie workflows scheduling tools Stone branch or CA7 Knowledge of Cloud platform implementation Azure or Amazon Knowledge of data visualization tools is a plus 
  • Tableau on multiple platforms along with Python visualization in the Data Lake using Pandas and bokeh packages 
  • Excellent written verbal and interpersonal skills a must as there will be significant collaboration with the business and IT Experience with collaborative development workflows eg Microsoft DevOps Tools



Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship. 

Click the following link for more information on your rights as an Applicant –  

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. 



Posted on:

January 7, 2022

Experience level:

Experienced (non-manager)

Contract type:

Permanent Full Time (us-en)

Business units:

FS (us-en)


Financial Services