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. Please see here for details.

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

RESPONSIBILITIES

• Design, build, maintain, optimize, and document databases and data storage solutions to support operational excellence, analysis, reporting, research science, and machine learning
• Design, build, monitor, maintain, and optimize timely data pipelines
• Ensure best-in-class data security, access control, and data quality
• Work directly with partner engineering teams to design, integrate, and test third-party data APIs
• Report and analyze metrics to assess data infrastructure performance, and make changes to improve those metrics
• Drive continuous improvement by staying up to date on industry trends and best practices and incorporating them appropriately
• Explore the use of artificial intelligence and machine learning in our data infrastructure
• Support other application, data, and analytics projects as needed

DESIRED, DEMONSTRABLE QUALITIES

• A positive, child centered mentality
• Ownership philosophy
• Ability to invent new ways to address the needs of children while simplifying at every turn
• Strong judgement and instincts
• Lifelong desire to learn
• Hires and develops bar-raising people
• Standards that are unreasonably high
• Ability to think big, and see things that are not apparent
• A bias to get things done
• Focus on investing time and resources on things that help children
• Ability to operate at all levels
• Fearless pursuit of doing what is right for children
• Character, competence, personal integrity, and actions that build trust
• High level of passion and energy applied to delivering results
• Ability to execute and take action to accomplish goals along an unchartered path
• Willingness to change and adapt when presented with new information or data
• Strong commitment to diversity, equity, and inclusiveness

FOCUS & DELIVERABLES (FIRST 12 MONTHS)

• Evolve data warehouse and other data collection and storage solutions to support dashboards, reporting, operational and ad-hoc analysis, research, and longitudinal analyses
• Build, automate, monitor, and maintain ETL/ELT pipelines and workflows for new and existing data sources
• Mature data governance, quality and security practices
• Architect and build new data systems and APIs to enable data-driven features of early childhood education applications

Bezos Academy is an Equal Opportunity Employer. All applicants receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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