Data Engineer – FDE | Hartford, CT / Minneapolis, MN – Onsite

Inabia Software & Consulting; Berlin (CT); On-site; USD 83,000 - 90,000; Full time

Job summary

Virtusa data engineering opening for a Data Engineer (FDE) to design and operate scalable data pipelines in finance domains. The role requires 8–10 years of experience and on-site work in Hartford, CT or Minneapolis, MN.

You will develop ELT/ETL processes, leverage cloud-native data platforms, and optimize performance with Python, SQL and Spark, while aligning with financial data processing requirements.

Qualifications

• Strong experience in Data Engineering and ELT/ETL development.
• Hands-on experience with Python, SQL, and Spark.
• Experience working with financial data processing.
• Experience with cloud-native data platforms.
• Strong understanding of performance optimization and automation.
• 8–10 years of relevant Data Engineering experience.

Responsibilities

• Build scalable data products and data pipelines.
• Develop and support ELT/ETL processes.
• Work with financial data processing requirements.
• Build solutions using cloud-native data platforms.
• Drive performance optimization and automation across data engineering workflows.

Skills

Data Engineering

ELT/ETL development

Python

SQL

Spark

Cloud-native data platforms

Performance optimization

Automation

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

Job Title

Data Engineer -- FDE

Client

Virtusa

Location

Hartford, CT / Minneapolis, MN -- Onsite

Experience

8--10 Years

Employment Type

Contract

Visa

H1B only

Engagement

C2C allowed

Rate

$60/hr

Important Submission Guidelines

• H1B candidates only.
• Do NOT send GC or USC profiles for C2C.
• Before submitting any candidate, check whether the candidate has already been submitted to Virtusa through another channel/vendor.
• Please avoid duplicate submissions.
• Candidates must be comfortable working onsite in Hartford, CT or Minneapolis, MN.
• Please keep the candidate's rate within the $60--$65/hr range.

Role Overview

We are looking for a Data Engineer (FDE) responsible for building scalable data products and data pipelines supporting Finance and Accounting use cases.

The role requires strong data engineering fundamentals, with hands‑on experience developing and optimizing cloud-native data processing solutions.

Key Responsibilities

• Build scalable data products and data pipelines.
• Develop and support ELT/ETL processes.
• Work with financial data processing requirements.
• Build solutions using cloud-native data platforms.
• Drive performance optimization and automation across data engineering workflows.

Required / Preferred Skills

• Strong experience in Data Engineering and ELT/ETL development.
• Hands‑on experience with Python, SQL, and Spark.
• Experience working with financial data processing.
• Experience with cloud-native data platforms.
• Strong understanding of performance optimization and automation.
• 8–10 years of relevant Data Engineering experience.