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Inabia Software & Consulting Inc.

Data Engineer | H1B candidates only

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

Individual and Family Services · 51-200 employees

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

The Data Engineer will build scalable data products and pipelines to support finance and accounting use cases. They are responsible for developing ELT/ETL processes and driving performance optimization across data workflows.

What they look for

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

Requirements

Candidates must have 8–10+ years of relevant experience in data engineering and proficiency in Python, SQL, and Spark. The role requires an H1B visa and the ability to work onsite in Hartford or Minneapolis.

Full description

Role: Data Engineer – FDE Location: Hartford, CT / Minneapolis, MN – Onsite

Client: Virtusa Visa Type: H1B only Rate: $60/hr-$65/hr C2C Requirement Type: Contractual Exp:  8–10+ Years

Job Description: 

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.

 

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.

Please focus on candidates who closely match the technical requirements and are genuinely open to the onsite requirement. Before submitting any profile, please confirm that the candidate has not previously been submitted to Virtusa.

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