Senior Data Engineer, AI-Powered Data Platform

Cincsystems; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

CINC Systems is modernizing its platform into an AI-enabled, modular ecosystem. We are seeking a Senior Data Engineer who blends data engineering with applied AI to design scalable data pipelines and data models powering analytics, automation, and intelligent applications.

You will architect and build data systems across cloud environments, partner with AI teams, and drive data governance and observability to ensure reliable, high-quality data for real-time decision making.

Qualifications

• 8+ years of experience in data engineering or backend software engineering with a strong focus on large-scale data systems.
• Advanced proficiency in SQL and one or more programming languages such as Python, TypeScript, or Java.
• Experience designing and operating event-driven data architectures and microservices using AWS services (EventBridge, S3, Lambda, API Gateway, DynamoDB, Glue).
• Strong understanding of relational and analytical databases including SQL Server, Postgres, or Redshift.
• Experience building and maintaining ETL and ELT pipelines with strong data modeling, versioning, and testing practices.
• Familiarity with AI and ML data patterns including embeddings, feature stores, and RAG pipelines.
• Knowledge of API-based data access and GraphQL or REST API design principles.
• Experience applying DevOps principles to data engineering including CI/CD pipelines, IaC, and observability.
• Understanding of data governance, access control, and privacy best practices.

Responsibilities

• Design and build robust, scalable, and secure data pipelines to collect, transform, and serve data for analytics, APIs, and AI applications.
• Architect and maintain modern data infrastructure across cloud environments (AWS preferred) using services such as Lambda, Glue, Athena, EventBridge, and S3.
• Partner with AI and application engineering teams to provide structured, high-quality data for training, inference, and real-time decision systems.
• Develop and maintain data models and schemas optimized for both analytics and operational use.
• Design data contracts and governance patterns that ensure data lineage, versioning, and reliability across microservices and AI systems.
• Build streaming and event-driven data architectures that support low-latency, high-integrity data flows.
• Implement data quality automation and observability systems that detect anomalies and validate pipeline health.
• Work with Product and Analytics to define KPIs, metrics, and usage data pipelines that help measure business impact.
• Collaborate with AI engineers to integrate embedding pipelines, RAG data sources, and feature stores for intelligent applications.
• Drive continuous improvement in data engineering practices through code reviews, pairing, and knowledge sharing.
• Participate in architecture reviews and contribute to broader engineering standards around data security, compliance, and scalability.
• Leverage AI-native tools and techniques to improve data classification, anomaly detection, and metadata enrichment.

Skills

SQL

Python

TypeScript

Java

AWS

ETL/ELT

Data modeling

DevOps / CI-CD

Observability

Data governance

Tools

AWS Lambda

AWS Glue

AWS Athena

AWS EventBridge

AWS S3

Postgres/Redshift

Job description

CINC Systems is modernizing its platform into an AI-enabled, modular ecosystem. We are seeking a Senior Data Engineer who blends data engineering with applied AI to design scalable data pipelines and data models powering analytics, automation, and intelligent applications.

You will architect and build data systems across cloud environments, partner with AI teams, and drive data governance and observability to ensure reliable, high-quality data for real-time decision making.