Technical Solutions Engineer (Remote-US)
DataKind
$133,000–$145,000from the description
Jul 23, 2026
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Jul 24, 2026
What this job asks for AI summary
A hands-on role responsible for the full technical lifecycle of onboarding higher education institutions onto a data platform — from initial discovery and solution design through writing and shipping the actual integration code, pipelines, and configurations. The position also serves as the primary technical contact for institutional IT and data teams, and involves building reusable assets like reference architectures and playbooks. Best suited to someone with direct implementation experience who can both write production code and lead technical conversations with external partners.
Senior level · 5+ years · Remote · 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
Roughly 22,900 people nationally plausibly meet what this posting asks for (computer systems analysts). range 4,700–41,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $108,178 (middle half $84,682–$137,059). This posting is about at that midpoint.
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 (7)
The title 'Technical Solutions Engineer' carries no explicit seniority level, so the title states no level; however, the role is internally mapped to DataKind's 'Senior Manager, Technical' salary band and requires 5+ years of hands-on delivery, supporting a Senior classification.
SOC classification is a genuine judgment call: the role blends client-facing systems analysis and solution design (15-1211) with hands-on code and pipeline authorship (15-1252). The primary day-to-day emphasis on discovery, integration specs, and translating institutional requirements tips toward 15-1211, but the hard requirement to personally write and ship production code and pipelines makes 15-1252 a strong runner-up.
Python is listed as 'preferred' within the required qualifications block ('proficient in SQL and a scripting language, Python preferred'). Because the broader requirement — proficiency in a scripting language — is a hard gate and Python is the named preferred option, it is marked required with the understanding that another scripting language could substitute; the 'alternatives' field reflects this open-ended substitution.
Skills such as 'data pipelines', 'system integrations', 'data mapping', 'schema alignment', and 'solution architecture' are retained because the JD uses firm gating language ('must have personally written and shipped', 'able to independently configure and troubleshoot') even though they are capabilities rather than named products — no specific platform or tool is named for these activities.
Higher education domain experience and understanding of data privacy/security/accessibility in education contexts appear under the Preferred section and are not captured as named technologies.
The role is fully remote within the U.S.; no specific metro is listed.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): solution architecture.
Read the full posting
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