Data Engineer

Senior Data Engineer - Identity & Access Management Location: 100% Remote Work Hours: Must work within Eastern Time business hours Organization: Cyber - Identity & Access Management Position Overview Client's Cyber / Identity & Access Management organization is building a new application and engineering capability focused on agentic technology and risk identification. We are seeking a Senior Data Engineer / Data & Backend Engineer who can help build the application from the ground up. This is not a traditional data engineering position. The ideal candidate will combine strong data engineering, AWS cloud, API development, application performance, and production troubleshooting skills. The engineer will help build data pipelines and a low-latency GraphQL API that will make data available to Client employees and support critical runtime developer workflows. This will be a small team consisting of two full-time engineers and this senior contractor, providing an opportunity to have significant technical ownership and influence. Key Responsibilities Design, build, and optimize high-volume data pipelines supporting the new IAM application. Develop and maintain scalable data engineering solutions using AWS and modern data technologies. Build and support a lightweight, low-latency GraphQL API that exposes data to internal applications and users. Design data models and data-processing workflows to efficiently present data through APIs. Develop and maintain data pipelines using technologies such as PySpark, Apache Spark, AWS Glue, and related data platforms. Work with AWS services including Lambda, ECS, DynamoDB, PostgreSQL, S3, and AWS Glue. Troubleshoot application performance, latency, scalability, and reliability issues in production. Implement monitoring and observability solutions for data pipelines and APIs. Optimize cloud infrastructure and applications for performance, scalability, and reliability. Collaborate with engineering, cybersecurity, IAM, and other stakeholders to define technical solutions. Participate in architecture, design, development, testing, deployment, and production support. Help establish engineering practices and technical standards for the newly formed team. Translate complex data into reliable, accessible APIs and services. Support the development of systems designed to identify and assess risks associated with emerging agentic technologies. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 7+ years of IT/technology experience. 5+ years of hands-on software/data engineering experience. Strong hands-on AWS experience. Strong data engineering experience with large-scale data pipelines. Experience with PySpark, Apache Spark, AWS Glue, or similar technologies. Strong API development experience. Experience developing GraphQL or REST APIs. Experience building and troubleshooting low-latency applications/APIs. Strong experience with production monitoring and troubleshooting. Experience with cloud-based databases and data stores. Strong programming experience with Python, Scala languages. Strong analytical, troubleshooting, and problem-solving skills. Required AWS Experience Candidates should have hands-on experience with several of the following, with the following considered particularly important: AWS Lambda Amazon ECS DynamoDB PostgreSQL Amazon S3 AWS Glue Experience with additional AWS services and serverless technologies is a plus. Data Engineering Skills Experience with one or more of the following: PySpark Apache Spark AWS Glue Data pipelines Batch processing Distributed data processing Data modeling Data integration Data quality Large-scale data processing Performance optimization API & Application Development GraphQL API development REST API development Low-latency API design API performance optimization API integration Application troubleshooting Distributed application architecture Monitoring and observability Preferred Qualifications Experience building applications from the ground up. Experience working in cybersecurity or Identity & Access Management. Experience with agentic AI or AI-enabled applications. Experience supporting critical runtime applications. Experience with cloud performance and latency optimization. Experience with production monitoring and observability. Experience with serverless AWS architectures. Experience with Snowflake, Batch, or similar data platforms. Experience working in a small, highly collaborative engineering team. Client experience is highly desirable. Work Environment 100% remote opportunity. Candidate must be able to work during Eastern Time Zone business hours. This is a new application and team build-out within Client's Cyber / Identity & Access Management organization. The candidate will work closely with two full-time engineers and will be expected to provide senior-level technical guidance and help accelerate the team's development. Artech