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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformKubernetesPythonSQL
About the role
Key responsibilities & impact- Conducting technical discovery with enterprise customers to understand their data ecosystems
- Designing and owning the full technical delivery from architecture through to production deployment
- Building production-grade integrations, API connections, data pipelines and custom transformations across heterogeneous systems
- Designing and developing agentic AI workflows that automate data engineering tasks
- Acting as a trusted technical advisor throughout the implementation lifecycle
Requirements
What you’ll need- 5+ years of experience building production-grade software with strong Python, SQL and API development skills
- Solid understanding of distributed systems, cloud infrastructure (AWS, Azure or GCP), Kubernetes deployments and modern data pipeline tooling including ETL/ELT and CDC
- A genuine customer-facing background! Consulting experience is a strong plus
- Hands-on experience integrating AI APIs (OpenAI, Anthropic) and leveraging AI code generation tools
- The adaptability to move between deep technical problem-solving and high-level strategic conversations
Benefits
Comp & perks- Company Equity
- 25 days PTO
- 5 days paid volunteering leave
- Health insurance
- Life insurance
- Access to mental health support
- 401K
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
PythonSQLAPI developmentdistributed systemscloud infrastructureKubernetesETLELTCDCAI APIs
Soft Skills
customer-facingconsultingtechnical advisorproblem-solvingstrategic conversationsadaptability