Data Experience Software Engineer @ Wand Synthesis AI Inc.

Wand AI

full-time

Posted on: 8/20/2025

Location: 🇺🇸 United States

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Mid-LevelSenior

AirflowAWSAzureCloudDockerETLFlaskGoogle Cloud PlatformKafkaKubernetesMicroservicesPythonSpark

About the role

Design, build, and maintain scalable data pipelines and systems that support agentic applications.
Develop backend services and APIs that handle data ingestion, transformation, and access.
Work closely with the Data Engineering lead to define architecture and technical direction.
Integrate structured and unstructured data sources into agent workflows.
Ensure high performance and reliability of data systems in production environments.
Collaborate with AI researchers and product teams to deliver intelligent, data-driven features.
Contribute to best practices in data governance, quality, and security.

4+ years of experience in software engineering or data engineering roles.
Proficiency in Python (or another high-level language), and experience with backend frameworks (e.g., FastAPI, Flask).
Strong experience with data engineering tools and systems such as Airflow, Spark, dbt, or similar.
Hands-on experience with cloud platforms (GCP, AWS, or Azure), especially in data infrastructure.
Solid understanding of ETL/ELT pipelines, APIs, and microservices.
Familiarity with containerization and orchestration (Docker, Kubernetes).
Excellent problem-solving and debugging skills.
Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
Preferred Experience: Experience building systems that interact with LLMs, RAG pipelines, or agentic architectures.
Familiarity with graph databases, vector stores, or semantic search technologies.
Experience working in startups or fast-moving product teams.
Exposure to DevOps and CI/CD practices in cloud-native environments.
Understanding of real-time data streaming technologies (Kafka, Pub/Sub, etc.).