CDLF Tech lead at SRM Technologies
North America, NJ
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Jul 2, 2026
North America, NJ
Jul 21, 2026
What this job asks for AI summary
This role centres on building and maintaining data pipelines and cloud-based data infrastructure, with a strong emphasis on CI/CD practices and Medallion Architecture. The work involves scripting in Python and Bash, working with big data technologies such as Spark and Hive, and applying data modelling and warehousing concepts across platforms including AWS and Snowflake. Prior experience in the pharmaceutical industry is strongly preferred.
Senior level · National
“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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
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 (4)
The posting has no structured sections (no 'Required' vs. 'Nice to have' headings), so all concrete technologies were treated as hard requirements based on firm language ('proficient', 'expert', 'hands-on experience with', 'skilled in').
AWS and Snowflake are introduced with 'like … etc.', suggesting they are illustrative examples of cloud platforms rather than the only acceptable options; AWS is listed as primary with common cloud alternatives noted.
Prior Pharma/AbbVie experience is 'strongly preferred' — this is a domain/industry preference, not a named technology, so it is not captured as a skill.
SOC classification is Medium confidence: the role centers on building data pipelines and data modeling (pointing to 15-1243 Database Architects), but the heavy Python/PySpark engineering work could also support 15-1252 Software Developers.
Read the full posting
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