Since being founded in 2011, Prodigy Education has grown from 3,000 local users to more than 100 million registered users worldwide. As one of the fastest-growing EdTech startups in North America, Prodigy connects students, parents, teachers, and school districts with resources with the goal of promoting a lifelong love of learning. Anyone with an internet connection is welcome to create a free account for Prodigy’s popular Math Game for grades 1 to 8. Prodigy Education also provides online math tutoring via certified teachers who adapt their style and lessons to teach students in the way they learn best. For more information visit www.prodigygame.com.
Our passion is our mission - to help every student in the world love learning!
Here at Prodigy, we are working hard to achieve our mission of helping every child in the world to LOVE learning. Our data team is responsible for all aspects of data ingestion, storage, transformation, and analysis using modern tools and environments such as Spark, Databricks, dbt, Airflow, Snowflake, Periscope, Kafka, and AWS. You will be working alongside our data engineering, data science, and data analysis teams to help build and manage all of our data pipelines and high-quality datasets, focusing on our Financial and Payments domains.Your Impact:
- Create and manage key business data pipelines and high-quality datasets
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data acquisition and data-related technical issues, and other analytics needs.
- Work cross-functionally to explore and propose solutions to business problems that can be addressed using insights from data
- Create and optimize data tools for analytics and data scientist team members that assist them in building our product into an innovative industry leader.
- Support the development of new solutions for batch, real-time data, and analytics use cases that align with business requirements
- Maintain and troubleshoot the infrastructure built for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Identify, design, and implement process improvements: automate manual processes, optimize data delivery, improve data reliability, efficiency, and quality, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into student learning, customer acquisition, operational efficiency, and other key metrics.
- Aid in improving our data architecture and keeping our current architecture up to modern standards and best practices
Who You Are:
- At least 3 years of experience in data engineering.
- Working familiarity with a variety of different storage mechanisms including SQL amp; NoSQL databases, Data Warehouses, and Data Lakes.
- Experience working with AWS Cloud platforms and related systems
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience with big data tools: Databricks, Spark, dbt, etc - and how they fit into an overall data architecture.
- Experience with data pipeline and workflow management tools, such as Airflow
- Experience with real-time data processing andstream-processing systems: Kafka, Spark-Streaming, etc.
- Experience in requirements analysis, design, implementation, and testing of software solutions, especially data related, using Python, Scala, and/or other programming languages
- A successful history of manipulating, processing, and extracting value from large disconnected datasets, especially related to Financial, Marketing, and Sales data.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience implementing backend Data APIs using NodeJS, Python, or other programming languages
- Strong project management, organizational, and communication skills.
- University degree in Engineering, Computer Science, Stats, Mathematics. A graduate degree in Data Science related discipline is a strong asset
Our Core Technologies:
- Data tools: Kinesis, Lambda, Kubernetes, ECS, dbt
- Storage: S3, Snowflake, Delta, Postgres Aurora,DynamoDB
- Coding World amp; Libs: Python, Javascript (NodeJS), Spark
- Platforms: AWS, Persicope, Databricks, Snowflake
What We Offer:
- A culture of transparency, where team members are involved in important conversations
- Full health benefits from day one (1) for you and your family, fully covered!
- We are a profitable company, with eligibility to participate in stock options for all full-time permanent employees
- Learning and development budget for all full-time employees to use towards career growth and development opportunities
- We recognize 9-5 is not for everyone! We offer flexible w