Technical Solutions Engineer

DataKind

Technical Solutions Engineer responsible for onboarding and implementing data solutions for educational institutions. Collaborating with cross-functional teams to ensure successful integration.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $133,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical implementation and solutions architecture, with a strong focus on data integration, troubleshooting, and client engagement. Proficient in writing production code and managing data flows while aligning with educational equity and data-driven social impact.

Highest-signal resume keywords

Technical ImplementationSolutions ArchitectureSQL ProficiencyPython ScriptingData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Code WritingData Pipeline DevelopmentSystem IntegrationData Mapping ConfigurationSchema AlignmentTroubleshooting Data FlowsIntegration SpecificationsTechnical Implementation PlansTechnical DiscoveryGovernance Requirements

Soft Skills

Client-Facing DeliveryProblem SolvingCollaborationCommunication

Industry Keywords

Higher EducationData-Driven Social ImpactEducational EquityIntegration PlaybooksReference Architectures

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Directly build and ship the technical work each institution's onboarding requires – writing and modifying code, pipelines, and configuration to connect their systems to ours.
Configure, validate, and troubleshoot data mappings, schema alignment, and data flows specific to each institution's environment.
Anticipate integration risks and unblock issues independently before they stall a deployment.
Build reusable technical assets: reference architectures, integration playbooks, mapping templates so that each institution onboards faster than the last.
Serve as the primary technical point of contact for higher education institutions participating in the UDTS, partnering closely with the account/success manager on each relationship.
Lead technical discovery: understand each institution's data landscape and translate it into integration and governance requirements and a recommended solution design, while being aware of the internal technical and product roadmap and constraints.
Run solution design and architecture conversations with institutional IT, data, and IR teams, scoping integrations, defining data flows, and setting realistic technical expectations.
Produce integration specs, and technical implementation plans tailored to each institution's environment, governance needs, and constraints.
Translate our platform's capabilities and roadmap accurately back to institutions, and translate institutional technical feedback into clear requirements for internal Technology and Product teams.
Partner with Engineering and Product to confirm proposed integration solutions are feasible and align with platform direction.
Surface recurring technical patterns and gaps across institutions to inform product priorities.
Maintain a clear, shared view of each engagement's technical status, open issues, and dependencies.

Requirements

What you’ll need

Deep alignment with DataKind's mission and values, and demonstrated commitment to educational equity and data-driven social impact.
5+ years in hands-on technical implementation, or solutions architecture, including direct client- or partner-facing delivery.
Must have personally written and shipped production code, data pipelines, and system integrations, not just directed others.
Able to independently configure and troubleshoot data mappings, schema alignment, and data flows; proficient in SQL and a scripting language, Python preferred.
Comfortable running technical discovery directly with institutional IT/data teams and unblocking issues without routing to Engineering.

Benefits

Comp & perks

Flexibility and time off.
Comprehensive Wellness Support.
A Culture of Growth.
Meaningful Connection.
Living our Values.