Amplify
Data Engineer
Edtech.com's Summary
- Build, augment, and maintain data infrastructure that empowers teams across Amplify and its customers.
- Develop reusable data pipelines to help teachers and support data science, governance, and analyst teams.
- Implement and manage data storage solutions such as data lakes and databases.
- Build and maintain ETL and machine learning pipelines using AWS technologies.
- Collaborate with data scientists and analysts to facilitate data access and utilization.
- Ensure data privacy and regulatory compliance.
- Analyze and improve system performance and debug using tools like Snowflake, Airflow, dbt, SQL, Python, Looker, Terraform, and Datadog.
- Required qualifications include a BS in Computer Science or Data Science, 2+ years of relevant professional experience, and strong skills in SQL and Python.
- Preferred experience includes MLOps tools (AWS Sagemaker, GCP Vertex AI), frameworks like Pytorch or Tensorflow, and familiarity with cloud infrastructure (AWS/GCP/Azure) and Terraform.
- Compensation ranges from $135,000 to $155,000 with eligibility for an annual discretionary bonus, plus comprehensive benefits including 401(k), health insurance, paid time off, and parental leave.
Data Engineer Full Description
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 15 million students in all 50 states. For more information, visit amplify.com.
As an engineer at Amplify, you will join a talented team solving the toughest problems in education with the best ideas in technology - including user experience, APIs and services, data analysis, and deployment pipelines. You'll play an active role in imagining and improving product design and the classroom experience.
Essential Responsibilities:
Our data team builds, augments, and maintains the 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.
Impress the toughest customers around - students - by:
helping teams create fun, compelling apps by using millions of data points
Make life better for passionate teachers by:
helping teachers understand their students by building reusable data pipelines
Make life better for passionate Data Science, Governance and Analyst teams by:
Implementing and managing data storage solutions (e.g., data lakes, databases).
Building and maintaining ETL & machine learning pipelines on AWS
Collaborating with data scientists and analysts to facilitate data access and utilization.
Ensuring data privacy and compliance with relevant regulations.
Analyzing and improving performance and squashing tricky bugs using tools like: Snowflake, Airflow, dbt, SQL, Python, Looker, Terraform, and Datadog
Learn every day by:
immersing oneself in agile rituals and using our infrastructure
leading collaboration, pull request-ing, and mentoring on a multi-functional team
participating in cross-team share-outs, brown bags, and workshop series
becoming an expert in the data models and standards within Amplify and the educational industry in order to deliver quality and consistent solutions
Example Projects You Might Work On
Building well-tested and optimized ETL data pipelines for both full and delta extraction
Collaborating with data analysts and learning scientists to gather, design, and implement ETL and Data Warehousing requirements
Contributing to leading industry data standards (Caliper Analytics or xAPI), communities or open source projects (dbt)
Build and support a machine learning model pipeline from development through production deployment
Required Qualifications:
BS in Computer Science, Data Science, or equivalent
2+ years of professional software development, site reliability, devops, or data engineering experience
Strong CS and data engineering fundamentals
Proven fluency in SQL and a development language such as Python
Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support
Understanding of different data formatting (JSON, CSV, XML) and data storage techniques (3NF, EAV Model, Star Schema, Data Lake)
Strong communication skills in writing and conversation
Preferred Qualifications:
Experience with MLOps tooling such AWS Sagemaker, GCP Vertex AI and frameworks like Pytorch or Tensorflow
Experience with tools we use every day:
Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)
ETL/BI: Cube, dbt, Fivetran, Looker
Cloud Infrastructure: AWS/GCP/Azure, Terraform
Experience with tools we don't use, but should
Proven passion and talent for teaching fellow engineers and non-engineers
Proven passion 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 401(k) plan, 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 $135,000 - $155,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.
Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.
Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.
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If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.
Amplify is an E-Verify participant.
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