MarTech Backend Engineer - Integrations & Data Pipelines

Compunnel, Inc.

Irving (TX)

On-site

USD 100,000 - 140,000

Full time

14 days+
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Job summary

Compunnel, Inc. in Irving, TX, seeks a Software Development Engineer Mid to design and build integrations, APIs, and data pipelines that connect marketing platforms, ad-tech vendors, and the enterprise data lake into a unified activation layer.

You will collaborate with product managers, solution architects, software and data engineers, and QA, while embracing AI-assisted development to accelerate delivery and maintain reliability and data quality across systems.

Qualifications

  • 3+ years building backend services and APIs (Node.js, Spring/Java, Python, or similar).
  • 2+ years preferred integrating third-party/vendor APIs and data feeds with authentication patterns (OAuth, IAM).
  • 2+ years preferred with data pipelines and stores—SQL/NoSQL, batch and streaming (Kafka/Kinesis).
  • 2+ years minimum building with cloud services (S3, IAM, serverless).

Responsibilities

  • Design, build, and operate integrations between MarTech/ad-tech vendors and enterprise systems.
  • Build and maintain REST/event-driven APIs and data feeds to the data lake and activation platforms.
  • Develop interfaces and tooling for marketers and analysts to operate without engineering involvement.
  • Partner with data platform, DevOps, and InfoSec to land external data securely.
  • Translate vendor API contracts and data specs into reliable production services.
  • Leverage AI-assisted tooling to accelerate delivery while maintaining quality.
  • Deliver on time with high reliability and data quality.

Skills

Node.js
Java Spring
Python
APIs
Data pipelines
Cloud
Docker
Kubernetes

Education

Bachelor's degree in Computer Science/Engineering

Tools

Databricks
Kafka
SQL/NoSQL

Job description

Compunnel, Inc. in Irving, TX, seeks a Software Development Engineer Mid to design and build integrations, APIs, and data pipelines that connect marketing platforms, ad-tech vendors, and the enterprise data lake into a unified activation layer.

You will collaborate with product managers, solution architects, software and data engineers, and QA, while embracing AI-assisted development to accelerate delivery and maintain reliability and data quality across systems.

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