Senior Data Engineer: AI/ML Pipelines & Streaming (Remote)

Overhaul; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Top health benefits

Caregiver/Family leave

Flexible Time Off

Casual dress

Employee assistance program perks

Job summary

Overhaul, based in Austin, TX, seeks a Senior Data Engineer to join the Data Platform team. You will architect, build, and maintain scalable data systems powering analytics and AI features. The role emphasizes DataOps, MLOps, automation, testing, CI/CD, and data quality across streaming data pipelines.

The position allows remote work, with a strong focus on ownership, collaboration, and delivering high-quality data products for the logistics industry.

Qualifications

• Mastery of Python and SQL, strong data intuition, and ownership mindset.
• Experience building streaming data pipelines and data services.
• Familiarity with data platforms, CI/CD, testing, and documentation.

Responsibilities

• Design and maintain streaming data pipelines using Databricks and Spark.
• Create ML pipelines to feed data and update models.
• Develop ML models to enhance predictive analytics and support decision-making.

Skills

Python

SQL

Data pipelines

Spark

Education

BS in Computer Science

Tools

Databricks

SparkSQL

Job description

Overhaul, based in Austin, TX, seeks a Senior Data Engineer to join the Data Platform team. You will architect, build, and maintain scalable data systems powering analytics and AI features. The role emphasizes DataOps, MLOps, automation, testing, CI/CD, and data quality across streaming data pipelines.

The position allows remote work, with a strong focus on ownership, collaboration, and delivering high-quality data products for the logistics industry.