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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines and ELT/ETL processes on Google Cloud platforms, with a strong focus on BigQuery, Dataflow, and data governance. Proficient in SQL and Python for data transformation, ensuring compliance with data privacy regulations relevant to education and public sector.
Highest-signal resume keywords
BigQueryDataflowELT/ETL ProcessesSQL DevelopmentGoogle Cloud Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData GovernanceData ClassificationData ModelingPerformance TuningAgile MethodologiesRDBMS PrinciplesETL DesignPython for Data TransformationCloud Storage Concepts
Soft Skills
Strong Communication SkillsAbility to Maintain ConfidentialityCollaboration in Virtual Teams
Tools & Technologies
Cloud ComposerApache AirflowSSISJIRATFSNetezzaPostgreSQL
Certifications & Qualifications
Google Cloud Certification
Industry Keywords
FERPAData PrivacyHigher EducationPublic SectorData Access Controls
Tech Stack
Tools & technologiesAirflowApacheBigQueryCloudERPETLGoogle Cloud PlatformPostgresPythonRDBMSSQLSSISTFS.NET
About the role
Key responsibilities & impact- Own the data foundation underpinning Nelnet’s GenAI solutions for higher education and SLED clients
- Design, build, and maintain BigQuery and Dataflow or Cloud Composer/Apache Airflow data pipelines
- Build and maintain ELT/ETL processes for batch ingestion of SIS, ERP, and casework-system data into Google Cloud analytics and RAG data stores
- Monitor pipeline reliability, performance, and cost, optimizing BigQuery usage and Dataflow jobs
- Classify and tag client data using Dataplex and Cloud DLP
- Define and enforce data access controls and governance policies
- Assess and document data readiness for AI use cases
- Design data models and schemas for current use cases and reusable patterns
- Partner with client technical teams on source-system constraints, data access, and extraction approaches
- Maintain documentation of data flows, schemas, and classification decisions
- Execute the delivery backlog, provide technical estimates, and flag data-related risks
- Ensure pipelines provide agentic solutions with required structure and freshness
- Conduct data quality reviews and testing
- Collaborate with GCP/Gemini Enterprise Engineering, AgentOps, the Forward Deployed Engineer, and Engagement Manager
Requirements
What you’ll need- Bachelor’s degree in related field or equivalent work experience
- Hands-on experience building data pipelines and ELT/ETL processes for analytics or GenAI use cases on a major cloud data platform — required
- Direct experience with BigQuery and Dataflow or Cloud Composer/Apache Airflow strongly preferred
- Experience with data governance and classification tooling for sensitive or regulated data
- Working knowledge of cloud storage, messaging, and access-control concepts
- Google Cloud certification preferred
- Strong SQL skills
- Experience with Python for pipeline development and data transformation
- Familiarity with data privacy and compliance considerations relevant to education or public sector data, such as FERPA
- Experience partnering with client or partner technical teams to extract and integrate data from legacy or third-party systems
- Ability to work from a scoped backlog and translate technical requirements into working data pipelines
- Proficient in SQL development and performance tuning
- Strong knowledge of the software development lifecycle and exposure to agile or iterative delivery
- Proficient in ETL design and development in at least one tool, such as SSIS
- Basic knowledge of C#.NET for SSIS scripting
- Understanding of RDBMS principles
- Knowledge of Agile
- Database design and modeling experience preferred
- JIRA/TFS experience preferred
- Netezza and PostgreSQL experience helpful
- Ability to maintain confidentiality
- Ability to work on a distributed virtual team
- Strong verbal and written communication skills
- Ability to obtain a security clearance
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- HSA and FSA
- Generous earned time off
- 401K/student loan repayment
- Life insurance and AD&D insurance
- Employee assistance program
- Employee stock purchase program
- Tuition reimbursement
- Performance-based incentive pay
- Short- and long-term disability
- Wellness program
- Reasonable accommodations for qualified individuals with disabilities
