A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 10 million students in all 50 states. For more information, visit amplify.com.

Amplify is a leader in creating immersive, rigorous digital learning experiences that look great, play great, and help students expect great things of themselves. Amplify has been described as the best tech company in education, and the best education company in tech.

We are looking for a hardworking and passionate Data Engineering Manager who wants to be a leader within a technology team where every engineer is responsible for the quality of our product and happiness of our students and teachers.

What You’ll Do

Our data team builds, augments, and maintains the tools and infrastructure that empowers teams across Amplify and our customers to make sense of and tell stories with their data. We believe strongly in teaching our teammates to serve themselves, within a safe, reliable, and agile environment. You’ll be building data systems, but also the sharing-and-learning culture so that every team uses these tools to improve their own lives, and those of our students and teachers. 

• Technical leadership: Collaboratively guide your team to innovative and appropriate architectures and tech stacks.

• Technical leadership: Foster strong technical practices (data modeling, data ingestion, data integration, data platform) within your team

• Execution: Work with internal and external partners to ensure your team builds reusable and reliable data models and pipelines using the right tools and making that data available through BI tools or system integrations.

• Execution: Take responsibility for successful delivery against quarterly OKRs, including leading your team in establishing standard methodologies in estimation, requirements analysis, balancing trade offs, and executing against commitments.

• Communication and Collaboration: Work closely with business, product, engineering teams, and others, modeling multi-functional collaboration

• Strategy: Collaborate with business, product and tech leadership to drive business, product, and technical strategy and goals for your team.

• People management: Provide technical leadership, career development, coaching, and mentoring for engineers.

Basic Requirements of the Senior Data Engineer Manager: 

• BS or MS in Computer Science, Data Science, or equivalent

• 10+ years of professional software development or data engineering experience

• Proven ability to architect and implement efficient data models and optimize high throughput data pipelines

• Proven fluency in SQL and a development language such as Python

• Strong CS and data engineering fundamentals, and the wisdom to know when they’re relevant

• Strong knowledge of SQL, of datastores and their tradeoffs (including relational, columnar, and document stores), data modeling, data structures, data manipulation

• Strong knowledge of ETL/ELT pipeline design, tooling, and support

• Experience working with a modern data stack (Airflow, Snowflake, and dbt)

• Strong communication skills in writing and conversation 

• Familiarity leading teams within an agile product development environment

Preferred Requirements of the Senior Data Engineer Manager:

• Experience with tools we use every day:

  • Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)

  • ETL/BI: Airflow, dbt, Matillion, Looker

  • Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform

• Experience with tools we don’t use, but should, and the wisdom to know when to recommend them

• Interested in teaching fellow engineers and non-engineers

• Enthusiasm for building and learning: open source contributions, pet projects, self-education, Stack Overflow

• Experience in education or ed-tech

What we offer:

Salary is only one component of the Amplify Total Rewards package, which includes a lucrative 401(k) plan, incentive stock options, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $170,000 - $200,000. This role is eligible to receive an annual discretionary bonus that rewards individual and company performance.

We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool. 

Amplify is an Equal Opportunity Employer of Minorities, Females, Protected Veterans and Individuals with Disabilities. 

This position may be funded, in whole or in part, through American Recovery & Reinvestment Act funds.

Amplify Education, Inc. is an E-Verify participant.