Remote Data Engineer - Big Data & AI Pipelines

Koantek; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Koantek is seeking a Data Engineer in the United States for remote, full-time and contract roles. You will design and build robust data pipelines, integrating structured and unstructured data, and develop tools for data processing and analysis.

You will lead complex data projects, apply DataOps, and collaborate with data scientists and stakeholders to optimize data workflows and guide data-driven strategies.

Qualifications

• Educational background in CS/IT or equivalent experience.
• 3+ years as a Data Engineer with cloud platform experience (AWS, Azure, GCP).
• Experience designing and implementing Databricks-based data solutions at scale.
• Experience building streaming and batch data pipelines.

Responsibilities

• Guide big data transformations with end‑to‑end data pipelines.
• Ensure Databricks best practices across projects.
• Support Professional Services with effort estimation and risk management.
• Architect complex customer engagements as technical lead.
• Enable knowledge transfer through documentation and training.
• Share consulting expertise to improve client engagement and team performance.

Skills

Spark

Python

PySpark

Spark Streaming

Spark SQL

Data modeling

Data architecture

CI/CD

DevOps

DataOps

Kafka

Cloud experience

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field

Tools

Databricks

Kafka

StreamSets

MapReduce

TensorFlow

PyTorch

Spark MLlib

Job description

Koantek is seeking a Data Engineer in the United States for remote, full-time and contract roles. You will design and build robust data pipelines, integrating structured and unstructured data, and develop tools for data processing and analysis.

You will lead complex data projects, apply DataOps, and collaborate with data scientists and stakeholders to optimize data workflows and guide data-driven strategies.