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Tech Stack
Tools & technologiesAWSCloudETLPythonSQL
About the role
Key responsibilities & impact- Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
- Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
- Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
- Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
- Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
- Support the enforcement of data contracts between source systems and the warehouse
- Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
- Contribute to ML data preparation and feature pipeline workflows
- Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
- Contribute to documentation, governance practices, and continuous improvement of data engineering standards
Requirements
What you’ll need- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)
- 2–4 years of experience in data engineering or a related data-focused role
- Experience working with ETL/ELT processes and structured warehouse data
- Exposure to cloud-based data platforms (AWS preferred)
- Strong SQL skills (joins, window functions, and query optimization fundamentals)
- Proficiency in Python for data processing, scripting, or automation
- Familiarity with version control systems (e.g., Git)
- Strong attention to detail and commitment to data accuracy
- Ability to troubleshoot and debug data workflows effectively
- Strong written and verbal communication skills
- Ability to collaborate across technical and non-technical teams
Benefits
Comp & perks- Office setting with remote/hybrid flexibility
- Minimal travel required (occasional team meetings or company events)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTSQLPythondbtSnowflakedata quality checksdata validationmachine learningdata processing
Soft Skills
attention to detaildata accuracytroubleshootingdebuggingwritten communicationverbal communicationcollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in Engineering
