Data Engineer: ETL/ELT, Salesforce & Tableau

DataJobs; Hanover (NH); On-site; USD 137,540,000 - 214,906,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Retirement benefits

Job summary

Capgemini in Hanover, NH is seeking a Data Engineer on a contract basis onsite. You will design and support enterprise data solutions, build scalable ETL/ELT pipelines, and enable reliable conversion and analytics across Salesforce and partner systems.

You will work with Salesforce teams to create advanced reports, trace data failures, and deliver dashboards for IS leadership. Strong SQL, Python, and cloud data platform experience are required, along with collaboration in an Agile environment.

Qualifications

• 5+ years designing and developing enterprise data solutions, incl. ETL/ELT pipelines
• Hands-on experience with Salesforce data, including objects, relationships, and reporting
• Strong SQL development and data analysis skills
• Experience with modern cloud data platforms (Snowflake) and cloud ETL tools (Matillion)
• Python for automation, data processing, and reconciliation
• Experience building operational reports and dashboards in Agile environments

Responsibilities

• Design, build, test, and support scalable ETL/ELT pipelines for data conversion and onboarding analytics
• Develop reusable data transformation utilities and curated datasets
• Write, optimize, and maintain advanced SQL and Python code across data platforms
• Build Tableau dashboards and monitoring views for leadership
• Partner with Salesforce Administrators and Product Owners to improve reports and data quality

Skills

SQL

Python

Agile

Data analysis

ETL/ELT

Data integration

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field

Tools

Snowflake

Matillion

Tableau

Git

APIs

CI/CD

Job description

Capgemini in Hanover, NH is seeking a Data Engineer on a contract basis onsite. You will design and support enterprise data solutions, build scalable ETL/ELT pipelines, and enable reliable conversion and analytics across Salesforce and partner systems.

You will work with Salesforce teams to create advanced reports, trace data failures, and deliver dashboards for IS leadership. Strong SQL, Python, and cloud data platform experience are required, along with collaboration in an Agile environment.