Lead - Data / AI Native Engineer

kastech software solutions

O'Fallon, MO, United States

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Cloud Engineering Information Engineering Extract Transform Load (ETL) Data Systems Programming Tools Software Tools Software Engineering Data Ingestion GitHub Copilot

+6 more

Apache Spark Pyspark Data Management Data Pipelines Amazon Elastic Mapreduce (EMR) Databricks

Requirements

8+ years of Data Engineering and Software Engineering experience.
3+ years leading complex data engineering initiatives or engineering teams.
Proven experience building enterprise scale data platforms and pipelines.
Experience delivering cloud native analytics and AI solutions.

Technical Skills

Build highly available, secure, and scalable cloud native data solutions.
Develop ETL/ELT frameworks for ingesting, transforming, and publishing enterprise data.
Implement high volume distributed processing using Spark and PySpark.
Leverage GitHub Copilot, Claude Code CLI, and AI assisted development tools to accelerate engineering productivity.
Build Proof of Concepts (POCs) and MVPs using AI powered development approaches.
Develop cloud native solutions leveraging AWS and Databricks ecosystems.
Build scalable architectures for data ingestion, processing, storage, and analytics.

Key Expectations

Strong experience in building enterprise grade data pipelines, modern Lakehouse architectures, AI enabled data products, and cloud native platforms leveraging Databricks, AWS EMR, Spark, PySpark, and AI native engineering tools such as GitHub Copilot and Claude Code.
The role aligns with enterprise initiatives around AI assisted engineering, intelligent automation, and AI powered development workflows