Cognite Data Engineer
Virtusa
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Jun 28, 2026
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Jul 20, 2026
What this job asks for AI summary
A senior data engineering role centred on leading enterprise-wide implementations of Cognite Data Fusion (CDF) for industrial environments. The work involves defining data architecture strategies, building integrations between CDF and systems such as ERP, SCADA, and IoT platforms, and establishing governance frameworks. The position suits a seasoned engineer with deep CDF expertise who can also mentor technical teams and engage executive stakeholders.
Senior level · 9+ years · Chennai, India · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $139,500 (middle half $109,370–$169,290).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
This role is based in Chennai, India (IN-TN-Chennai per the posting); US benchmark data will not apply.
The title 'Cognite Data Engineer' carries no seniority level word, but the posting frames the role as a 'Lead' in the job summary — advertised seniority is treated as Unspecified from the formal title alone. The 9+ years requirement and lead/architect scope support a Senior classification.
SOC is a close call: the role is primarily about designing and architecting industrial data platforms and pipelines (15-1243 Database Architects), but the hands-on engineering emphasis (ETL/ELT pipelines, Python, APIs) also fits 15-1252 Software Developers; 15-1243 was chosen as the primary given the dominant architecture and data governance framing.
Cloud platform requirement is stated as 'AWS, Azure, or GCP' — AWS is listed as the primary skill with Azure and GCP as named alternatives.
ERP, MES, and Historian integrations are mentioned as architectural context but name no specific product, so they are omitted from the skills list.
AI/ML, Digital Twin, and Data Lake appear under the 'Preferred Skills' section and are marked accordingly.
No compensation figures are provided in the posting.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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