Senior Data Engineer: Enterprise AI Pipelines (Hybrid)

Kairos; Irving (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Kairos is seeking a hands-on Data Engineer in Irving, TX to own well‑defined data components from development through production, collaborating with senior engineers and architects on design decisions.

You will build scalable data pipelines using Python, SQL, Spark/PySpark, and integrate enterprise data with AI‑generated insights for decision‑making, while ensuring data quality and security practices across environments. Hybrid schedule in Irving enables close collaboration with product partners.

Qualifications

• Bachelor’s degree or equivalent practical experience in a quantitative field.
• 10 years of relevant data engineering or software engineering experience.
• Strong Python and SQL proficiency with complex queries and troubleshooting.
• Experience with Spark/PySpark, cloud ETL/ELT on Azure or AWS.

Responsibilities

• Build, maintain, and enhance scalable data pipelines using Python, SQL, Spark/PySpark.
• Integrate enterprise data from applications, APIs, event streams and AI outputs.
• Develop transformations across structured and semi-structured data with time zones.
• Create data models and curated datasets for analytics and AI model development.
• Collaborate with AI/ML engineers to deliver data interfaces for inference workflows.
• Implement data quality checks, monitoring, and alerting for data freshness and traceability.
• Troubleshoot pipeline failures; implement retries, backfills, and cost-aware processing.
• Work with product managers and engineers to translate requirements into data solutions.
• Follow security, privacy, and retention requirements for enterprise data.

Skills

Python

SQL

Spark/PySpark

ETL/ELT

Airflow

Databricks

CI/CD

Data modeling

Cloud platforms

Data governance

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Delta Lake

Kafka

Git

CI/CD tools

Job description

Kairos is seeking a hands-on Data Engineer in Irving, TX to own well‑defined data components from development through production, collaborating with senior engineers and architects on design decisions.

You will build scalable data pipelines using Python, SQL, Spark/PySpark, and integrate enterprise data with AI‑generated insights for decision‑making, while ensuring data quality and security practices across environments. Hybrid schedule in Irving enables close collaboration with product partners.