Salary
$110k – $120k per year
Location
Remote (United States, UTC-6 – UTC-5 hours)
Seniority
Senior
Visa
H-1B filings in 12 months: 4 · green card filings: 2
Employment
Contractor
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Jul 2, 2026. Two95 International scores D on the Alion truth index.
Overview
Company
Impact
Profile match
Two95 International is an American technology staffing and consulting firm based in Cherry Hill, New Jersey, that places engineers, analysts and project staff with enterprise clients. It recruits for contract, contract-to-hire and permanent roles across software development, data engineering, quality assurance, cloud infrastructure and enterprise applications, and also delivers managed project work through its own offshore teams. The firm operates recruiting and delivery centres in India and Malaysia alongside its United States offices, and posts a high volume of technical vacancies across North America.
Job Title : Senior-level SQL & Azure Data Factory developer
Duration : 6 month contract to hire
Pay rate: $55-60/hour on w2
Salary upon conversion is $115,000
100% remote, EST or CST hours
Looking for a Senior Azure & Data Factory Developer for a permanent role by way of 6 month contract-to-hire.
This requires a powerhouse SQL/ADF expert who brings sharp thinking, high energy, and enterprise-grade data engineering to every project.
Position Description
- Senior-level SQL & Azure Data Factory developer (contract-to-hire)
- Lead development of data solutions, pipelines, and API-driven database components
- Drive high-volume data processing and enterprise data architecture efforts
Requirements
Required Skills
- 5+ years hands-on SQL development with stored procedures and large-scale batch processing
- Proven experience designing and delivering enterprise data platforms
- Building and maintaining Azure Data Factory pipelines
- Creating and deploying database-hosted APIs
- Data analysis, transformation, and ETL expertise
Bonus Skills
- Broader experience across cloud data ecosystems
- Additional exposure to advanced data modeling or automation tooling
- Familiarity with modern data integration patterns
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