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# Data Engineer

- **Company:** Epitec, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $218,400.0 - $222,560.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Big Data, C Sharp (Programming Language), Cloud Computing, Information Engineering, Extract Transform Load (ETL), Amazon DynamoDB, Monitoring of Systems, HP Systems Insight Manager, Identity and Access Management, Python (Programming Language), NoSQL, Software Engineering, Backend, Storage Technologies, Low Latency, Graphql, Api Design, Data Pipelines, Microservices
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fd065a1b40b94488

## About the Role

* 10+ years of software engineering and/or data engineering experience.
 * Strong AWS experience.
 * Proficiency with Python and/or C#.
 * Experience building APIs and microservices.
 * Hands-on experience with GraphQL.
 * Experience with DynamoDB or similar NoSQL databases.
 * Strong understanding of data pipelines, ETL, or large-scale data processing.
 * Expertise in monitoring, observability, and production support best practices., * Identity and Access Management (IAM) experience.
 * Identity Management or cybersecurity-related experience.
 * Experience building risk detection, security, or access control solutions.
 * Previous experience in large enterprise cloud environments.

What You'll Work On

 * Identity and access initiatives
 * Risk detection platforms
 * AWS cloud-native services
 * Data pipelines and API development
 * Monitoring and observability solutions
 * Developer productivity and runtime platform improvements

#LI-AB1
#INDPRO

## Description

We are seeking an experienced Senior Data Engineer / Full Stack Engineer to join a team focused on building next-generation identity, access management, and risk detection solutions. This role requires a strong combination of data engineering, backend development, cloud technologies, and application monitoring expertise., * Design and develop low-latency APIs and cloud-native solutions within AWS.

 * Build and maintain scalable data pipelines and data processing workflows.
 * Develop and enhance applications supporting identity, access, and risk management initiatives.
 * Create and optimize GraphQL APIs and backend services.
 * Work with DynamoDB and other cloud-based data storage technologies.
 * Implement monitoring, observability, and operational excellence practices across applications and platforms.
 * Collaborate with engineers and stakeholders to design new systems and improve runtime performance and developer workflows.
 * Contribute across both full stack development and data engineering initiatives.