Note: The job is a remote job and is open to candidates in USA. Photon is seeking an ETL Data Engineer to design, build, and maintain scalable data pipelines for analytics, machine learning, and operational reporting. The role focuses on data integration, cloud-based data infrastructure, ML/NLP pipeline development, APIs, CI/CD automation, and data quality across distributed systems.
Responsibilities
- Design, build, and maintain scalable data pipelines to support analytics, ML, and operational reporting
- Develop robust data ingestion, transformation, and integration workflows using Python, SQL, and modern data engineering frameworks
- Build and maintain batch and streaming data pipelines leveraging technologies such as Kafka (or similar pub/sub tools)
- Work with Google Cloud Platform (GCP) services, including Cloud Storage, Dataflow, Pub/Sub, BigQuery, Cloud Spanner and Cloud Functions
- Develop and manage data APIs and interfaces (REST and GraphQL) to enable high-performance data access across microservices
- Implement CI/CD automation for data pipelines using GitHub Actions, Argo CD, or equivalent tools
- Collaborate with Data Scientists and MLOps teams to integrate ML/NLP models into data pipelines and production workflows
- Build and operationalize NLP data pipelines for structured and unstructured data sources (e.g., Rx claims, clinical documents)
- Enable continuous learning and model-retraining workflows using Vertex AI, Kubeflow, or similar GCP-native tooling
- Implement frameworks for observability and data quality, ensuring ML predictions, confidence scores, and fallback events are logged into data lakes or monitoring systems
- Support distributed data systems and ensure reliability, performance, and scalability of data infrastructure
Skills
- 5+ years of experience building **data pipelines or backend data workflows** using Python, Java, or similar languages
- 2+ years of experience designing **REST/GraphQL data services** or integrating data APIs
- Hands‑on experience working with **ML/AI model integration** in production (e.g., Vertex AI Endpoints, TensorFlow Serving, ML REST APIs)
- Experience handling **structured and unstructured datasets**, including healthcare data (Rx claims, clinical documents, NLP text)
- Familiarity with the **end-to-end ML lifecycle:** data ingestion, feature engineering, training, deployment, and real‑time inference
- 2+ years of experience with **cloud platforms** (GCP preferred; AWS or Azure acceptable)
- 2+ years working with **streaming platforms** like Kafka or equivalent
- 2+ years of experience with **databases** (Postgres or similar relational systems)
- 2+ years of experience with **CI/CD tools** (GitHub Actions, Jenkins, Argo CD, etc.)
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience *(High School Diploma + 4 years of relevant experience acceptable)*
- Direct, hands-on experience with **Google Cloud Platform**, especially BigQuery, Dataflow, GKE, Composer and Vertex AI
- Knowledge of **Kubernetes concepts** and experience running data services or pipelines on **GKE**
- Strong understanding of **distributed systems**, microservice patterns, and data‑centric system design
- Experience using **Vertex AI, Kubeflow, or other ML orchestration platforms** for model training and serving
- Knowledge of **GenAI pipelines**, LLM prompt workflows, and agent orchestration frameworks (e.g., LangChain, transformers)
- Experience deploying **Python-based ML/NLP services** into microservice ecosystems using REST, gRPC, or sidecar architectures
- Domain experience in **healthcare, claim adjudication, or Rx data processing**
Benefits
- Medical benefits available for full-time employees
- Vision benefits available for full-time employees
- Dental benefits available for full-time employees
- 401k retirement plan available for full-time employees
- Variable pay/incentives available for full-time employees
- Paid time off available for full-time employees
- Paid holidays available for full-time employees
Company Overview
Company H1B Sponsorship