Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We

are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business

and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed,

and long-term impact.

Incedo delivers ROI from AI @ Scale through the “Power of 3”:

• Deep domain expertise

• AI & Data capabilities

• Engineering & Operations excellence.

Role: API Data Engineer

Location : New York, NY or Fort Mill, SC

(Hybrid)

Job Responsibilities:

10+ years of experience in software/data engineering, API development, or cloud platform engineering
Work with development teams and stakeholders to deliver technical solutions that enable business capabilities
Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets
Build robust data pipelines on the cloud using AWS Glue, Confluent Kafka, Aurora Postgres, EKS, PySpark, Lambda, and Snowflake
Build REST-based data APIs using Python/C#, EKS, and Lambda
Build infrastructure for optimal ETL from various data sources using SQL and AWS big data technologies
Work with data and analytics experts to improve functionality in data systems
Implement architectures to handle large-scale data and its organization
Execute data design and architecture strategies aligned with enterprise standards
Deliver reference architectures outlining principles and best practices for technology advancement
Design and maintain Terraform-based infrastructure using modular patterns, private module registries, and multi-environment state management
Build and maintain GitHub Actions, Octopus , Liquibase CI/CD pipelines for API, data, and infrastructure delivery — including PR validation, Terraform plan gates, and environment promotion
Implement reusable GitHub workflow patterns and integrate with enterprise DevSecOps shared workflows for build, test, deploy, and rollback
Instrument services with Dynatrace for distributed tracing, metrics, and production observability on Lambda and containerized workloads
Define monitoring, alerting, and SLOs in Dynatrace; use APM data for performance tuning, incident response, and reliability improvements

Job description