Senior Data Engineer
Work Location: In person in our Sandy, UT office
Position Overview
We are seeking an experienced and highly skilled Senior Data Engineer to join our team. The ideal candidate will have 6-12 years of development experience with a focus on data pipelines, data warehouses, SQL and NoSQL. You will play a critical role in designing, developing, and scaling data pipeline systems. Ensuring reliability, security, and performance. Additionally, you will mentor and guide junior developers, providing technical leadership and expertise to the team.
Key Responsibilities:
- Develop and maintain data models and ETL processes to ensure high-quality data delivery.
- Design and implement data warehouse solutions.
- Collaborate with cross-functional teams to understand data requirements and provide effective solutions.
- Utilize programming languages such as Python for data manipulation and analysis.
- Create RESTful APIs to facilitate seamless data access for applications and services.
- Write shell scripts for automation of routine tasks related to data processing.
- Monitor system performance, troubleshoot issues, and optimize existing processes for efficiency.
Requirements:
- Proficiency in programming languages such as Python.
- Experience with data bases both SQL and NoSQL
- Experience with data warehousing concepts and tools (AWS, Snowflake).
- Strong understanding of RESTful services for API development.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to collaborate effectively with technical and non-technical teams.
Join us in shaping the future of our data infrastructure while contributing to innovative projects that drive business success.
Benefits
Competitive salary, 401k and performance-based bonuses
Comprehensive health, dental, and vision benefits
Flexible working hours
Additional Benefits:
- 401(k) with company match
- Dental insurance
- Employee assistance program
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Compensation Package:
- Yearly pay
Schedule:
- 8 hour shift
- Monday to Friday
Join our team
Interested in helping bring AI technology to the frontlines of risk? Send over your resume and we’ll see if you might be a good fit.
