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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python and SQL for backend programming, with a strong focus on data engineering and de-identification processes. Capable of managing client projects independently, ensuring quality and timely delivery while effectively communicating with technical and executive stakeholders.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData EngineeringDe-identification TechniquesProject Management
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 DevelopmentETL ProcessesModel InferenceMachine Learning PipelinesData MaskingDebugging CodeData Flow AnalysisAI Tools UsageCustom Code WritingReconciliation Checks
Soft Skills
Clear CommunicationIndependent Decision-MakingProblem-SolvingCollaboration
Tools & Technologies
PyTorchData Transformation ToolsAnnotation ToolsClient Reporting Tools
Industry Keywords
De-identificationSensitive Data TreatmentStructured DataSemi-Structured DataUnstructured DataAI WorkflowEarly-Stage Company Experience
Tech Stack
Tools & technologiesETLPythonPyTorchSQL
About the role
Key responsibilities & impact- Own delivery of client de-identification projects from raw data review through client acceptance
- Run corpora through the de-identification pipeline and check outputs for missed entities, incorrect replacements, merged or split identities, and file rebuild failures
- Diagnose issues, fix them when possible, and clearly explain unresolved problems to responsible engineers
- Rerun pipelines and confirm fixes, often working with the annotation team to validate quality
- Build and adjust ingestion and transformation steps for mailboxes, chat archives, document dumps, ticketing systems, and databases
- Write code within the existing platform, including client-specific custom handling
- Run reconciliation checks to ensure file counts and content match from ingestion through delivery
- Contribute to technical sections of client reports covering sensitive data treatment, retained data, file-type handling, and known limitations
- Walk clients through the work and resulting data alongside founders initially, then independently as experience grows
- Convert one-off fixes into reusable documentation, runbooks, and product improvements
- Learn the platform and delivery process, run part of a live engagement, and progress to independently managing engagements from scoping to delivery
Requirements
What you’ll need- Bachelor's degree in a technical field (computer science, engineering, math, statistics, physics, bioinformatics, or similar), or currently enrolled in one
- Hands-on work in data engineering, backend engineering, or a solutions/forward-deployed role shipping production systems for customers
- Internships, co-ops, research, and substantial projects count
- Strong experience in Python and other backend programming languages, plus SQL
- Comfortable reading and debugging other people's code
- Experience building repeatable pipelines processing large volumes of structured, semi-structured, and unstructured data
- Understanding of data flow through systems and ability to identify incorrect output
- Experience using AI tools and agents as a central part of the workflow, with appropriate oversight and validation
- Ability to work independently and make sound decisions without waiting for direction
- Clear communication with technical and executive audiences
- Record of delivering complex projects on short timelines, measured in days and weeks
- Availability for roughly 20 hours a week, with flexibility to keep client engagements on schedule
- Experience with model inference, ML pipelines, or PyTorch is a nice-to-have
- Experience with data masking, de-identification, ETL, or synthetic data tooling is a nice-to-have
- Interest in working close to frontier AI labs and the training-data ecosystem is a nice-to-have
- Experience at an early-stage company or on a new product line is a nice-to-have
Benefits
Comp & perks- Competitive compensation
- Opportunity to work alongside technical founders
- Direct impact on product development
- Exposure to frontier AI labs and the training-data market
- Experience solving industry-wide data privacy challenges
- Remote work arrangement
- Part-time co-op schedule of roughly 20 hours per week