DataKind - Data Integration Specialist (Contract-to-Hire Remote-US)
Requirements
• Deep alignment with DataKind's mission and values and demonstrated commitment to educational equity and data-driven social impact. • The ability to translate data from one structure to another, including spotting fields that only partly match, places where meaning gets lost, and fields that need to be split or merged. • Skill in writing data dictionaries and mapping specifications, and in tracking where data came from, so every transformation is traceable and repeatable. • Direct experience working with higher education data schemas and databases, including data from student information systems (SIS), Learning Management Systems (LMS), and related ed-tech platforms. • Strong understanding of data transformations and checks of data quality. • 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 the ability to gauge how long a task will take, keep deadlines on track, and communicate with team members about deliverables. • Preferred • Preferred • Familiarity with Agile methodologies. • Ability to use Git for version control. • Proficiency in Python and SQL. • Experience with complex data transformation tools such as dbt and data validation frameworks like Great Expectations. • Prior experience in higher education data environments or data integration firms.
Responsibilities
• 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 various ed-tech systems, such as SIS and LMS platforms for inclusion in the integrated data model. • Using higher education data, evaluate and validate data mappings and transformations to ensure accuracy and consistency at every step. • Contribute to advanced data transformation processes that enable mapping across schemas, including splitting or concatenating data fields and applying filtering and if-then logic before populating target data fields. • Support data quality assurance efforts using tools like dbt and Great Expectations. • Collaborate closely with cross-functional teammates and external users to understand data needs and ensure the final data model meets real-world operational requirements. • Attend calls and video meetings as required to support your scope of work.
Benefits
• Rate: $60–$67 per hour
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