SRX - Sr Data Engineer
CA, San Diego, United States of America
Empirical LLC
IMPORTANT: At the moment we are only considering candidates located in Latin America. Please do not apply if you are not located in Latin America.
About EmpiricalEmpirical empowers early and growth stage tech companies to create the right products in the right way by providing two pivotal services:
Our values
The OpportunityOur client is seeking a highly motivated Senior Data Engineer to join their fast-paced data team. The ideal candidate will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure data quality and reliability. This role is part of our client's product & engineering organization, where the data engineering team is committed to creating a scalable and reliable data ecosystem, a vital foundation for delivering excellent service and operational superiority to their customers.
Your qualifications and experienceMust haves
What we expect from you
What we offer
Why work with us?
About EmpiricalEmpirical empowers early and growth stage tech companies to create the right products in the right way by providing two pivotal services:
- Product & Technology Leadership: Our clients entrust critical decisions to our network of top-tier US-based CTOs and CPOs. We provide fractional, project, or advisory based support, combining highly experienced talent with a flexible approach.
- Product Development Teams: We provide our clients with high performing, senior product development talent through a scalable staff augmentation model and ongoing support. We focus on Latin America to find exceptional talent, with time zone and cultural compatibility.
Our values
- Care about people first
- Strive to add value always
- Lead with integrity
- Have fun every step of the way
The OpportunityOur client is seeking a highly motivated Senior Data Engineer to join their fast-paced data team. The ideal candidate will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure data quality and reliability. This role is part of our client's product & engineering organization, where the data engineering team is committed to creating a scalable and reliable data ecosystem, a vital foundation for delivering excellent service and operational superiority to their customers.
Your qualifications and experienceMust haves
- Bachelor's degree or above in Computer Science, Information Technology, or a related field
- 5+ years of related experience in data engineering, including proven experience with expertise in data warehouse technologies (e.g. Snowflake)
- Strong programming skills, including Python, SQL, and PySpark
- Solid understanding of data modeling concepts and database design principles
- Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker)
- Strong problem-solving abilities and attention to detail
- Excellent communication and collaboration skills
What we expect from you
- 100% alignment with our core values!
- Ability to work independently while being a highly collaborative team player
- Comfortable working with minimal direction in a fast-paced environment
- Strong critical thinking skills and a pragmatic approach towards solving problems
- Ability to work independently and get things done with minimal direction
- Drive projects from start to finish in a fast-paced environment
- Strong documentation and verbal/written communication skills.
- Detail-oriented and highly collaborative team player
What we offer
- Remote/flexible work
- Highly competitive compensation in US dollars
- Opportunities for personal and professional development; mentorship, coaching and training as needed
- Ongoing, 40 hours per week dedication
- The opportunity to be part of an amazing, multicultural community of tech experts
Why work with us?
- We pride ourselves on our core values and have proven that putting people first creates a thriving and collaborative work environment.
- We seek to accommodate and balance individual needs with client needs, understanding each one of us is unique.
- We offer benefits such as remote/flexible work, selective paid training, mentorship programs, referral programs and more.
- We are selective in the projects we take on to ensure our teams are engaged in challenging, meaningful, enjoyable opportunities that will provoke creativity, innovation and growth!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Airflow Computer Science Data pipelines Data quality Data warehouse dbt Engineering ETL Looker Pipelines PySpark Python Snowflake Spark SQL
Perks/benefits: Career development Competitive pay Flex hours Startup environment
Region:
North America
Country:
United States
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