Job Description

Pilytix brings Explainable Artificial Intelligence (XAI) to sales teams so they can be more effective and close more deals, faster. We use best-in-class tools to quickly deliver data-driven insights to all of our clients. Data Engineers will assist in the development of cutting edge data pipelines to ingest, transform and archive data for our clients and to support our team of Data Scientists.

Responsibilities:

• Author and monitor directed acyclic graphs (DAGs) in Apache Airflow to ingest and transform data
• Build and maintain internal Python packages to streamline ingest processes and add connections for new types of data
• Manage Kubernetes infrastructure and PostgreSQL databases on Google Cloud Platform
• Work collaboratively with the development and data science teams to add new data-driven features to our software-as-a-service product
• Participate in Agile / Kanban processes on a daily basis
• Comply with change management policies and code reviews to ensure data integrity and system stability

REQUIREMENTS

• BS/MS in a STEM field and 2+ years of industry experience programming and working with data

• Exceptional understanding of data architecture and software engineering best practices

• 2+ years experience with Python (Python 3 preferred)

• 2+ years experience with SQL (PostgreSQL preferred)

• 2+ years of experience with Docker

• 1+ years experience with cloud infrastructure (GCP preferred)

• 1+ years of server orchestration (Kubernetes preferred)

• Experience using Apache Airflow or similar data pipeline systems

• Experience using Git or other DVCS

• Knowledge of Agile / Kanban processes

• Entrepreneurial spirit and highly self-motivated

Job is based in Austin TX, but extraordinarily qualified remote candidates (willing to travel to Austin semi-regularly) may apply.

BENEFITS

• Competitive base salary with ability to earn bonuses
• Professional development and entrepreneurial opportunities
• Paid time off
• 401(k)
• Medical and dental plans