[Remote] Sr Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. NWEA® is a division of Houghton Mifflin Harcourt that supports students and educators through various services. As a Senior Analytics Engineer, you will work across multiple engineering teams to design and build reusable components and frameworks to support ML models and manage data for analysis.ResponsibilitiesModel raw data into clean, tested, and reusable datasets, making it easier for other stakeholders to view and understand data in a data warehouse or database. Since data models are created around business needs, the job of analytics engineers is to define the rules and requirements for the formats and attributes of dataTranslate user and product requirements into data model requirements to execute against and make critical decisions regarding the business rules and how they’re implementedBuilds ETL pipelines that can efficiently process very large datasetsDesign, implement and maintain online and offline feature stores to support ML training and inference. Senior Analytics Engineers will be responsible for managing low latency (online) and high latency (offline) systemsDevelop and maintain data and design documentation to ensure that everyone on the team uses the same definitions and language and is executing against the same architectural vision. This involves providing identifiable and understandable descriptions of data and data system components as well as exposing them in a way for all consumers to easily comprehend. Senior analytics engineers create design and data documents and utilize them to communicate effectively with stakeholders and drive innovationDraft and maintain documents that describe how the data flows from data sources to consumption by visualizing them with directed acyclic graphs (DAGs). From a technical user perspective, the lineage helps them to determine the root cause of an error in the whole data flowDefine metrics and implement tests to guarantee data meets operational and analytics needs. Responsible for implementing data quality standards —how data should be formatted, shown, and used across the organizationDevelop and maintain automation, scheduling and monitoring of processes designed to gather data from disparate sources and preparing them for data analysisUse CI/CD processes throughout the data model development lifecycle to develop higher quality code and data models without disruption to productionSkillsOver 4 years of hands-on experience in data engineering, analytics, or data science, with a strong focus on supporting data pipelines for machine learning models deployed in production environmentsBachelor's degree in statistics, mathematics, computer science, software engineering, or related field. Master's degree is a plusProficient in SQL and PythonPractical experience to handle various data orchestration tasks is requiredData modeling: Experience developing data models for specific business processes. Familiarity with common data modeling techniques including Star Schema (Kimball's), One Big Table (OBT) and Data VaultExtensive hands-on experience with tools for building data pipelines like Snowflake, Amazon Redshift, and Google BigQuery; ETL tools like AWS Glue, Talend, or others; Business Intelligence tools like Tableau, Looker, or equivalentComfortable with software engineering best practices: version control (git), writing unit testing, code review, and CI/CDDemonstrates exceptional interpersonal and communication skills, facilitating seamless collaboration throughout the organization. Proficient in understanding and anticipating stakeholder needs, effectively engaging with key stakeholders to convey the value of analytics initiatives and align them with business objectives. Committed to fostering and maintaining positive, productive relationships with colleagues and customersExperience with the ML lifecycle is preferred, in particular feature storesExperience with cloud-based development and infrastructure as code principlesCompany OverviewWe are a K-12 learning company that empowers educators. It was founded in undefined, and is headquartered in Boston, Massachusetts, US, with a workforce of 1001-5000 employees. Its website is http://www.hmhco.com.