This role combines platform building with direct client engagement by embedding with partner teams to drive end-to-end data product onboarding
Job Summary
This role combines platform building with direct client engagement by embedding with partner teams to drive end-to-end data product onboarding.
Engineers will utilize AI-assisted development tools like GitHub Copilot to accelerate configuration authoring and automate repetitive onboarding tasks.
The position offers a hybrid work model requiring at least four days in the office per week along with comprehensive benefits including healthcare and retirement plans.
Matching Summary
This role combines platform building with direct client engagement by embedding with partner teams to drive end-to-end data product onboarding.
Salary
Base: USD$120,000.00 - USD$148,000.00 (Atlanta, GA only); Bonus/Equity: Annual discretionary bonus eligible; Benefits: Healthcare, leave benefits, retirement plan, Flexible Time Off
Skills & Requirements
Must-have
3+ years data engineering experience
Strong Python proficiency required
Experience with structured and unstructured data
Azure Data Lake Storage knowledge
Snowflake ingestion patterns expertise
Kubernetes and Helm familiarity
Active use of AI assisted coding tools
Nice-to-have
Prior forward deploy or solutions engineering role
Familiarity with financial data platforms
Experience with dbt or data quality frameworks
Knowledge of LLM based tooling like LangChain
Exposure to AWS or GCP cloud services
CI/CD pipeline and DevSecOps practices
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
3+ years of production-grade software or data engineering experience
Understanding of data product concepts including schema design and governance