Data Integration Specialist – Contract-to-Hire

DataKind

. Perform comprehensive data mapping and execute transformations to build a unified data model for a higher education product .

Posted 10/14/2026contractRemote • United StatesMid-LevelSenior💰 $60 - $67 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data mapping, transformation, and quality assurance within higher education data environments, utilizing SQL and Python to ensure accurate and consistent data integration. Strong project management skills support effective collaboration and communication across cross-functional teams.

Highest-signal resume keywords

Data MappingData TransformationSQL ProficiencyPython ProficiencyData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData GovernanceData Dictionary WritingData Lineage TrackingData Quality ChecksData IntegrationData AnalysisData PrioritizationData FilteringData Concatenation

Soft Skills

Project ManagementTime ManagementCollaborationCommunication

Tools & Technologies

DbtGreat ExpectationsGitAgile Methodologies

Industry Keywords

Higher EducationSISLMSEd-TechData-Driven Social ImpactEducational Equity

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Perform comprehensive data mapping and execute transformations to build a unified data model for a higher education product
Work extensively with higher education system schemas and databases, primarily from ed-tech platforms
Review, prioritize, and analyze data columns from SIS and LMS platforms for inclusion in the integrated data model
Evaluate and validate data mappings and transformations using higher education data to ensure accuracy and consistency
Contribute to advanced data transformation processes, including splitting or concatenating fields and applying filtering and if-then logic
Support data quality assurance using dbt and Great Expectations
Collaborate with cross-functional teammates and external users to understand data needs and ensure the final data model meets operational requirements
Attend calls and video meetings as required

Requirements

What you’ll need

Deep alignment with DataKind's mission and values and demonstrated commitment to educational equity and data-driven social impact
Ability to translate data from one structure to another, including identifying partial matches, lost meaning, and fields requiring splitting or merging
Skill in writing data dictionaries and mapping specifications, and tracking data lineage so transformations are traceable and repeatable
Experience with data architecture and governance
Direct experience with higher education data schemas and databases, including SIS, LMS, and related ed-tech platforms
Strong understanding of data transformations and data quality checks
Proven ability to review and prioritize data columns across multiple systems for integration
Familiarity with SQL and Python
Strong project and time management skills, including estimating task duration, tracking deadlines, and communicating deliverables
Familiarity with Agile methodologies (preferred)
Ability to use Git for version control (preferred)
Proficiency in Python and SQL (preferred)
Experience with dbt and Great Expectations (preferred)
Prior experience in higher education data environments or data integration firms (preferred)
Applicants must have a U.S.-based permanent address and be currently authorized to work in the United States indefinitely without employer visa sponsorship

Benefits

Comp & perks

Shared time off
Organization-wide recharge days
Bi-weekly meeting-free days
Flexible PTO, with a minimum of 20 vacation days encouraged annually
100% employer-paid medical, vision, and dental benefits for employees; 72% for dependents (benefits only applicable for full-time staff)
Wellness reimbursement program (benefits only applicable for full-time staff)
12 weeks paid parental leave (benefits only applicable for full-time staff)
Annual professional development funding (benefits only applicable for full-time staff)
Mentorship and advancement opportunities (benefits only applicable for full-time staff)
401(k) plan with 5% employer matching (benefits only applicable for full-time staff)
Opportunities to come together in person for conferences, strategic planning, and the annual staff retreat
Diverse, equitable and inclusive work environment