• 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. • 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

• Develop and maintain custom integrations and ETL processes between K-12 data and internal/external systems. • Design, implement, and optimize data pipelines. • Collaborate with stakeholders to understand data needs and deliver robust, scalable solutions. • Maintain technical documentation for systems, data models, and processes. • Monitor and troubleshoot data flow issues and respond to API changes. • Participate in cross-functional projects related to school operations, enrollment, attendance, and performance data. • Perform quality assurance (QA) on downstream data to ensure accuracy, consistency, and alignment with customer requirements.

• Maintain and optimize end-to-end ELT pipelines to ensure reliable, well-structured data flows into the warehouse. • Develop, test, and maintain scalable data models following modern data modeling and best practices. • Support data validation, testing, documentation, and governance across environments. • Contribute to metadata and lineage tracking, as well as standards for KPI modeling and data quality.

Data Engineer Location: US / Canada (Eastern Time) - Home based Job Type: Full-time, Permanent About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary Are you passionate about data and delivering solutions for clients that turn data into valuable, actionable information for their business? We are hiring Data Engineers with strong experience across the entire Cloud Data stack. The ideal candidate will have extensive experience in data pipelines (ELT/ETL), data replication, data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. This candidate will also have excellent problem-solving ability dealing with large volumes of data. How You'll Make Your Mark: Building scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Redshift, or Azure Data Warehouse/Synapse), data storage (S3, Azure Blob Storage, Delta Lakes, or AWS Lake Formation) and analytics platforms (i.e. Spark, Databricks, etc.) Creation of data pipelines and transformations Knowledge of ETL tools such as– Matillion, FiveTran, Informatica, Talend, SSIS, etc. Transformations – dbt Experience with elastic/open search Load historical data to a data warehouse Scripting in Python, Java Script or Shell Workflow Orchestrations using Apache Airflow, AWS Step Functions, etc. Familiarity with automated promotions, SCM tools, and CICD best practices Modeling and curation of data for visualization and predictive modeling users Design and implementation of AWS and/or Azure services such as Lambda, SNS, etc. Creating data integrations with scripting languages such as Python Writing complex SQL queries, stored procedures, etc. Summary of Requirements & Experience Experience working at a consulting company Experience with Data Vault architecture Matillion Associate Certification Snowflake SnowPro AWS Data & Analytics Specialty AWS Database Specialty AWS Solutions Architect Associate AWS Developer Associate AWS Glue Why work for us? Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.