Data Engineer - Cloud Pipelines & Client Solutions (Hybrid)

Refinitiv

McLean (VA)

On-site

USD 94,000 - 175,000

Full time

14 days+
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Benefits offered by this job

Hybrid work
Mental health days
Tuition reimbursement
401k plan

Job summary

Refinitiv is seeking a Data Engineer to design and implement data pipelines and workflows that maximize the value of structured and unstructured data for TRSS customers. This role involves customer-facing engagement and collaboration with product, software engineering, and data science teams.

Ideal candidates have multiple years of data engineering experience, a CS/engineering degree, and strong Python/SQL skills, plus AWS and data visualization capabilities.

Qualifications

  • Several years of data engineering experience.
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Proficiency with Python and SQL, RESTful web services, and data integration.
  • Experience with cloud data platforms (AWS) and data visualization tools.

Responsibilities

  • Design, build, and support data pipelines and workflows for internal and customer data.
  • Provide solution architecture support for business opportunities.
  • Collaborate with product development, data science, and client teams.
  • Assist with automation and data governance across TRSS environments.
  • Translate client requirements into custom data solutions.

Skills

Python
SQL
Restful APIs
Linux/Windows
Data integration
Problem solving

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS
Snowflake
AWS Glue
NiFi
Power BI/Tableau

Job description

Refinitiv is seeking a Data Engineer to design and implement data pipelines and workflows that maximize the value of structured and unstructured data for TRSS customers. This role involves customer-facing engagement and collaboration with product, software engineering, and data science teams.

Ideal candidates have multiple years of data engineering experience, a CS/engineering degree, and strong Python/SQL skills, plus AWS and data visualization capabilities.

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