Senior Data Engineer - AI-Driven Data Platform (Remote)

CINC Systems; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

CINC Systems is seeking a Senior Data Engineer to design and build scalable data pipelines powering analytics, automation, and applied AI across our platform. You will architect data flows between transactional systems, data lakes, and AI-powered applications.

You will collaborate with AI engineers, product teams, and architects to ensure data accessibility, reliability, and support for intelligent features. This senior role emphasizes ownership, practicality, and impact.

Qualifications

• 8+ years of experience in data engineering or backend software engineering focusing on large-scale data systems.
• Advanced proficiency in SQL and one or more 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 (SQL Server, Postgres, Redshift).
• Experience building ETL/ELT pipelines with data modeling, versioning, and testing practices.
• Familiarity with AI/ML data patterns including embeddings, feature stores, and RAG pipelines.
• Knowledge of API-based data access, GraphQL/REST API design, and DevOps for data engineering.
• Understanding of data governance, access control, and privacy best practices.

Responsibilities

• Design and build robust, scalable data pipelines for analytics, APIs, and AI applications.
• Architect and maintain modern data infrastructure across cloud environments (AWS) with Lambda, Glue, Athena, EventBridge, and S3.
• Collaborate with AI and product teams to provide high-quality data for training, inference, and real-time decisions.
• Develop and maintain data models and schemas optimized for analytics and operations.
• Define data contracts and governance for data lineage, versioning, and reliability across microservices and AI systems.
• Build streaming and event-driven architectures supporting low-latency data flows.
• Implement data quality automation and observability to detect anomalies and pipeline health issues.
• Work with Product and Analytics to define KPIs and data pipelines measuring business impact.
• Collaborate with AI engineers to integrate embedding pipelines, RAG data sources, and feature stores.
• Lead by hands-on example, perform code reviews, and set data engineering standards.

Skills

SQL proficiency

Python

TypeScript

Java

Data modeling

DevOps

Mentoring

Tools

AWS

Glue

DynamoDB

S3

GraphQL

REST API

Job description

CINC Systems is seeking a Senior Data Engineer to design and build scalable data pipelines powering analytics, automation, and applied AI across our platform. You will architect data flows between transactional systems, data lakes, and AI-powered applications.

You will collaborate with AI engineers, product teams, and architects to ensure data accessibility, reliability, and support for intelligent features. This senior role emphasizes ownership, practicality, and impact.