Data Engineer

GeorgiaTEK Systems Inc.; Connecticut; Hybrid; USD 140,000 - 190,000; Full time

Job summary

GeorgiaTEK Systems Inc. is seeking a Data Engineer focused on application development, integration patterns, and strong AWS experience.

The role emphasizes RESTful and event-based integration, Python development, and Terraform-based infrastructure management in an insurance client project based in Hartford, CT. The ideal candidate will bring 13–15 years of data engineering and application development experience, with hands-on AWS services and distributed systems knowledge, and will mentor junior

Qualifications

• 13–15 years of experience in data engineering and application development.
• Strong AWS experience with core services (S3, EC2, Lambda, RDS).
• Experience with RESTful APIs and event-based integration patterns.
• Proficiency in Python and distributed computing.
• Terraform IaC for multi-environment provisioning.
• Experience with relational and NoSQL databases.
• Ability to lead infra management and collaborate with clients.

Responsibilities

• Design and execute robust RESTful APIs and scalable data pipelines.
• Mentor and lead engineering teams on a daily basis.
• Provision, scale, and optimize AWS resources using Terraform.
• Translate concepts into production-grade LL designs for performance and database efficiency.
• Act as a technical liaison with clients and stakeholders to gather requirements.
• Drive engineering excellence through code reviews and best practices.

Skills

Python programming

AWS

Terraform

REST APIs

Event-based integration

Data pipelines

Distributed systems

SQL / NoSQL

Mentorship

Stakeholder management

Tools

Kafka

Jenkins

Git

Job description

Data Engineer on application development // application patterns // Integration-- side of data engineering with Strong AWS experience

Insurance client

Location: Hartford- Connecticut

3 days office is must

Notes from the manager -

• Application and application integration space using core AWS services (Glue, Lambda, EKS as compute services and S3, Dynamo and DocumentDB as storage spaces along with Kafka and REST and File as integration patterns) and Python ad programming language
• The candidate expertise is needed in integration patterns for example, REST API and Event based integration. Using Kafka or any other event bus is not sufficient, our expectation is to understand event based integration pattern.
• Candidate should be strong on Data Engineering on application development // application patterns // Integration-- side of data engineering with Strong AWS experience
• Strong on integration patterns- restful based // event based// file based// batch based
• Strong on developing applications using Python
• AWS core service competency i.e. platform management, security IAM DNS/route 53
• Finally, the DevOps world understanding and hands on skill using Platform component with Terraform, and then application CI/CD systems using Jenkin and Git etc.

Core Responsibilities

• Design and execute robust RESTful APIs and scalable data engineering pipelines using Python and distributed computing frameworks.
• 13-15 years experience is must for this role
• Lead infrastructure management by provisioning, scaling, and optimizing AWS cloud resources via Terraform (Infrastructure as Code).
• Translate high-level concepts into concrete, production-ready Low-Level Designs (LLD) optimized for performance and database efficiency.
• Act as the primary technical liaison, collaborating daily with clients and external stakeholders to gather requirements and clarify business needs.
• Drive engineering excellence through daily mentorship, technical guidance, and rigorous peer code reviews.

Required Technical Skills

• Production-level Python programming with a deep understanding of advanced software design patterns.
• Hands-on AWS experience managing core cloud services (e.g., S3, EC2, Lambda, RDS, and containerized deployments).
• Proven track record with Infrastructure as Code (IaC) tools, specifically Terraform, for multi-environment resource provisioning.
• Solid database expertise, including schema design, query optimization, and management of both relational (SQL) and non-relational (NoSQL) databases.
• Experience building distributed systems and high-throughput data processing workflows.

Leadership & Soft Skills

• Strong stakeholder management skills, with the ability to bridge the gap between technical teams and non-technical business clients.
• Proven mentorship capability, comfortably running daily standups, guiding junior developers, and setting code quality standards.