Data Engineer
Description For Data Engineer
PILYTIX is at the forefront of Explainable Artificial Intelligence (XAI), delivering innovative SaaS solutions to enhance sales and fundraising teams' effectiveness. As a Data Engineer, you'll be instrumental in developing the cutting-edge zeroG™ platform, focusing on data pipeline maintenance and enhancement. You'll work with modern technologies including Python, SQL, and Apache Airflow to design and optimize data workflows. The role offers a unique opportunity to collaborate with both Data Science and Software Engineering teams, directly impacting product development and client success.
The position combines technical expertise with business impact, requiring strong skills in data architecture, ETL processes, and API integrations. You'll be working with various data sources, from sales and marketing platforms to sports and entertainment ticketing systems. The role demands both independent work and team collaboration, with a focus on maintaining high standards of data governance.
This is an excellent opportunity for a data professional who wants to make a significant impact in an AI-driven company. The position offers competitive compensation, including bonuses, and comprehensive benefits. While based in Austin, TX, remote work is possible for exceptional candidates willing to travel occasionally. The collaborative environment, modern tech stack, and chance to work on cutting-edge AI applications make this an exciting opportunity for growth-minded data engineers.
Responsibilities For Data Engineer
- Design workflows using SQL, internal and external APIs for data wrangling and customized operations
- Develop and adapt code to facilitate Master Data Management (MDM)
- Author and monitor directed acyclic graphs (DAGs) in Apache Airflow to ingest and transform data
- Build connections for new sources of data from sales, marketing, sports and entertainment event ticketing platforms
- Maintain and improve internal Python packages to streamline ingest processes
- Work collaboratively with app development team to add new data-driven features
- Work collaboratively with data science team to enhance AI and ML capabilities
- Participate in Agile / Kanban processes daily
- Execute tasks with adherence to data governance and stewardship standards
- Comply with change management policies and code reviews
Requirements For Data Engineer
- BS or higher in a STEM field
- 2-4 years of hands-on industry experience
- Exceptional understanding of data architecture and software engineering best practices
- 2+ years professional experience with SQL (PostgreSQL & BigQuery preferred)
- 2+ years professional experience with Python
- Proficiency using REST APIs
- Familiarity with Apache Airflow
- Experience working with Salesforce Sales Cloud
- Experience working with Salesforce Marketing Cloud
- Proficiency with Git
- Knowledge of Agile / Kanban processes
- Entrepreneurial spirit and highly self-motivated
Benefits For Data Engineer
- Competitive base salary with ability to earn bonuses
- Professional development and entrepreneurial opportunities
- Paid time off
- 401(k)
- Medical and dental plans
