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Senior Data Engineer
Amplify Brooklyn, NY
$90k-116k (estimate)
Full Time | Elementary & Secondary Education 1 Month Ago
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Amplify is Hiring a Senior Data Engineer Near Brooklyn, NY

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, visitamplify.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.

As an engineer at Amplify, you will join a versatile 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.

"Amplify's COVID-19 vaccination policy requires all staff to provide proof of vaccination for in-person meetings unless an approved exemption is provided."

What You'll Do

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, Marketing and Sales teams by:

  • using REST APIs for sourcing/sending data to SaaS like Salesforce and Hubspot
Help school administrators build great schools by:
  • respecting privacy and ensuring security while offering useful insights by making sensible choices in tech stack, database design, and encryption
  • helping school principals understand how teachers are instructing and how students are learning by architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots
  • analyzing performance and squashing tricky bugs using tools like Snowflake, Matillion, SQL, Python, Looker, 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, brownbags, 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 scientists to store, aggregate, and calculate captured students' work
  • Contributing to leading industry data standards, such as Caliper Analytics or xAPI
  • Improving our deployment and testing automation data pipelines
Basic Requirements
  • BS in Computer Science, Data Science, or equivalent
  • 5 years of professional software development or data engineering experience
  • 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
  • Proven ability to architect, implement, and optimize high throughput data pipelines
  • Experience deploying production systems in the cloud (AWS, GCP, Azure)
  • Strong communication skills in writing, conversation, and maybe silly gifs
Extra Credit For
  • Experience with tools we use every day:
  • Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB), Parquet, Postgres
  • ETL/BI: Matillion, Looker,Airflow, dbt
  • Cloud Infrastructure: Terraform, AWS Lambda, API Gateway, AWS Kinesis
  • Experience in setting up infrastructure for data tools such as DBT and Airflow
  • Proven passion and talent for teaching fellow engineers and non-engineers
  • Experience with encryption at rest, including multiple approaches and tradeoffs
  • 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 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 $135,000 - $165,000. This role is eligible to receive an annual discretionary bonus that rewards individual and company performance.

We celebratediversityand 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 adiversecandidate 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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Elementary & Secondary Education

SALARY

$90k-116k (estimate)

POST DATE

03/23/2023

EXPIRATION DATE

09/18/2023

WEBSITE

amplifyinc.org

HEADQUARTERS

NEWARK, NJ

SIZE

50 - 100

TYPE

Private

CEO

DOMINIQUE LEE

REVENUE

$10M - $50M

INDUSTRY

Elementary & Secondary Education

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The job skills required for Senior Data Engineer include Communication Skills, Collaboration, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

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Create architecture for real-time, big data applications with minimal maintenance effort.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

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Earn a bachelor’s degree related to data engineering and begin working on projects.

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Consider pursuing additional professional engineering or big data certifications.

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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

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Step 3: View the best colleges and universities for Senior Data Engineer.

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