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Inabia Software & Consulting Inc.

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

Inabia Software & Consulting Inc. Hartford, Connecticut, United States · $125K–$135K/yr

Individual and Family Services · 51-200 employees

19 h ago
data-engineer Principal (10+ yrs) Contractor United States
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About the role

The Data Engineer is responsible for building scalable data products and pipelines to support finance and accounting use cases. They will develop and optimize ELT/ETL processes while driving performance automation across cloud-native data platforms.

What they look for

Data Engineering Python SQL Spark ELT ETL Cloud-native data platforms Financial data processing Performance optimization Automation Data pipelines Data products

Requirements

Candidates must have 8-10+ years of experience in data engineering with strong proficiency in Python, SQL, and Spark. The role requires hands-on experience with financial data processing and cloud-native environments, and is restricted to H1B visa holders.

Full 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.

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