Full Stack AI Engineer
PX Inc
AirflowApacheAzureCloudETLPythonSQL
Salary
💰 $170,000 - $185,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowApacheAzureCloud
About the role
- Lead and manage a team of data engineers, typically 5 to 8 direct reports
- Actively contribute to development and implementation of data engineering solutions (50–60% hands-on coding)
- Address engineering culture pain points and provide coaching and feedback to direct reports
- Drive employee retention, resourcing, learning management, presales, feedback gathering, QA, and internal engineering processes
- Foster team growth, pair with engineers to solve challenges, and ensure sustainable data engineering coverage across engagements
- Advocate for and protect team time for internal projects
- Push for sustainable technical architectural decisions with a long-term approach
- Recruit, train, supervise and support development of team members and conduct performance reviews
- Work with clients to build infrastructure guidelines, implement data engineering tools, and ensure consistency and security of data products
- Support Tier 1 client engagements and translate client business needs into engineering requirements
- Advise clients on tool selection and implement engineering solutions using best practices
- Contribute to internal and external resources (e.g., internal wiki, blog posts)
- Plan for sustainable team growth and lead hiring based on hiring plans
- Support day-to-day execution and be accountable for availability, reliability, and quality of systems
- Collaborate with data analytics, analytics engineering, and data solutions teams to achieve client goals
- Guide the team in successful and timely execution of project deliverables
Requirements
- Intermediate / expert proficiency with cloud data warehouses (e.g., Snowflake, Databricks, Azure)
- Intermediate / expert proficiency with common data integration / orchestration platforms (e.g., concepts like CDC, ELT and tools such as Fivetran, DLT, Azure Data Factory, Apache Airflow)
- Experience mentoring and advising other engineers
- Experience with optimizing resource allocation by assessing team members' strengths and assigning tasks according to their expertise, while promoting skill growth
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Experience leading a team of data engineers (typically 5 to 8 direct reports)
- 50–60% hands-on coding required
- Experience recruiting, training, supervising and conducting performance reviews
- Ability to select, configure and implement engineering solutions and tools using best practices
- Advising clients on selection of data engineering tools, systems, and approaches
- Contributing advanced engineering skills to client engagements
- At this time, Velir does not sponsor candidates and cannot accept those on OPT or CPT
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