Bezos Academy
Senior Data Engineer
Bezos Academy, Seattle, Washington, us, 98127
As the Senior Data Engineer at Bezos Academy, you will use your expertise building simple and secure data pipelines and data warehousing systems in collaboration with a team of enthusiastic data technologists and educators to provide the best possible tuition-free preschool experience to children and families in underserved communities.
Our team is passionate about our cause and caring for each other. We are fun-loving, nerdy, diligent, curious, humble, altruistic problem-solvers. We are looking for someone who will foster our caring and inclusive team norms and values while we build great data products together. Along with our team, you will work closely with our education, operations, software, and other supporting teams to define data needs, evaluate technology, and design, build, and maintain the data systems we use to assist our teachers and staff, understand our impact, and continuously improve our schools.
If this sounds like a blast, and you have a successful history of designing and building simple, secure, dependable, high-performance ETL/ELT pipelines, data warehouses, and analytics systems, we might be the team you are looking for. If you thrive in a remote-first, start-up environment, collaborating with a small team, taking on a variety of responsibilities, and most importantly, if you are inspired by our mission, and motivated to use data to help nurture the potential in every child, we should connect.
LOCATION
Flexible in the United States; Seattle, WA preferred.
Relocation support is available for those willing to relocate to Seattle, WA.
COMPENSATION & BENEFITS
This is a full-time, benefits-eligible, exempt (salaried) position.
The full salary range for this position, across all United States geographies, is $137,000 - $273,000 per year.
The upper portion of the salary range is typically reserved for existing employees who demonstrate strong performance over time. Starting salary will vary by location, qualifications, and prior experience; during the interview process, candidates will learn the starting salary range applicable for their location.
This role includes 15 paid days of vacation, 4 days of paid personal time off, 7 paid days of sick (care) time, 9 paid holidays, 5 paid days off for an organization-wide winter break, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, paid parental leave, an employer-matched flexible spending account for dependent care, and more.
MINIMUM QUALIFICATIONS
Eight or more years of relevant experience
Expertise in designing, building, optimizing, and debugging complex data warehouses using relational and non-relational databases
Proficiency in ETL/ELT development, automation, orchestration
Mastery of Python, including virtualenvs and coding with minimal dependencies
Virtuosity in SQL, including advanced constructs present on newer distributed engines
Strong written and verbal communication skills
Ability to travel up to 10% of the time
PREFERRED QUALIFICATIONS
Working experience within a DevOps or DataOps environment
Experience with network and data security, access control, and/or handling personally identifiable information (PII)
Experience with query performance tuning, monitoring, backup, disaster recovery, automated testing, automated schema migration, and/or continuous deployment
Knowledge of AWS serverless technologies, AWS security model, and/or data analytics services (e.g. Lambda, Athena, Redshift)
Have integrated third-party APIs into first-party data systems
Experience with data visualization tools such as PowerBI, Quicksight or others
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Our team is passionate about our cause and caring for each other. We are fun-loving, nerdy, diligent, curious, humble, altruistic problem-solvers. We are looking for someone who will foster our caring and inclusive team norms and values while we build great data products together. Along with our team, you will work closely with our education, operations, software, and other supporting teams to define data needs, evaluate technology, and design, build, and maintain the data systems we use to assist our teachers and staff, understand our impact, and continuously improve our schools.
If this sounds like a blast, and you have a successful history of designing and building simple, secure, dependable, high-performance ETL/ELT pipelines, data warehouses, and analytics systems, we might be the team you are looking for. If you thrive in a remote-first, start-up environment, collaborating with a small team, taking on a variety of responsibilities, and most importantly, if you are inspired by our mission, and motivated to use data to help nurture the potential in every child, we should connect.
LOCATION
Flexible in the United States; Seattle, WA preferred.
Relocation support is available for those willing to relocate to Seattle, WA.
COMPENSATION & BENEFITS
This is a full-time, benefits-eligible, exempt (salaried) position.
The full salary range for this position, across all United States geographies, is $137,000 - $273,000 per year.
The upper portion of the salary range is typically reserved for existing employees who demonstrate strong performance over time. Starting salary will vary by location, qualifications, and prior experience; during the interview process, candidates will learn the starting salary range applicable for their location.
This role includes 15 paid days of vacation, 4 days of paid personal time off, 7 paid days of sick (care) time, 9 paid holidays, 5 paid days off for an organization-wide winter break, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, paid parental leave, an employer-matched flexible spending account for dependent care, and more.
MINIMUM QUALIFICATIONS
Eight or more years of relevant experience
Expertise in designing, building, optimizing, and debugging complex data warehouses using relational and non-relational databases
Proficiency in ETL/ELT development, automation, orchestration
Mastery of Python, including virtualenvs and coding with minimal dependencies
Virtuosity in SQL, including advanced constructs present on newer distributed engines
Strong written and verbal communication skills
Ability to travel up to 10% of the time
PREFERRED QUALIFICATIONS
Working experience within a DevOps or DataOps environment
Experience with network and data security, access control, and/or handling personally identifiable information (PII)
Experience with query performance tuning, monitoring, backup, disaster recovery, automated testing, automated schema migration, and/or continuous deployment
Knowledge of AWS serverless technologies, AWS security model, and/or data analytics services (e.g. Lambda, Athena, Redshift)
Have integrated third-party APIs into first-party data systems
Experience with data visualization tools such as PowerBI, Quicksight or others
#J-18808-Ljbffr