Data Analytics Engineer (Remote)
Toronto, ON
Applications have closed
We value high impact work, ownership, self-awareness and being focused on customer success. If these values match who you are, we hope you'll learn more about working at Mattermost and apply!
Mattermost is a data-driven organization, and we are looking for a best-in-class Data Analytics Engineer to operate, maintain and enhance our internal self-service data warehouse. You will be responsible for managing our Snowflake data warehouse, building and maintaining ETL and data ingestion processes, and providing assistance to other teams within the company who input data into the warehouse and carry out analytics with the data it holds.
Responsibilities include:
- Design, deploy, own and maintain best-in-class data infrastructure (Snowflake, Airflow, dbt, EKS, etc.)
- Manage the development and operation of high-volume data pipelines to enable the business to make data-driven decisions.
- Partner with the Analytics team to build data models that are actionable for the business
- Drive strategic and architectural decisions around the evolution of our data warehouse and pipelines.
- Write complex SQL queries and ETL pipelines.
- Collaborate with Product and Engineering teams to ensure that new products and features are instrumented to capture product usage data/telemetry
- Provide assistance to other teams within the company supplying data to the warehouse or consuming it for analytics.
- Design schemas and guide usage of the data warehouse to maintain it as a high quality source of insights.
- Effectively work while remote, with the ability to travel 2-3 times per year for week-long off-site meetings with team members
Required Background/Skills:
- Bachelor's degree in Computer Science, Data Science, Mathematics or related fields, or significant professional Data Analytics Engineering experience
- 3+ years experience as a Data Engineer
- 3+ years experience using Python
- Strong SQL Skills
- Experience building and managing a data lake in an enterprise setting
- Experience applying Software Engineering best practices to Data Analytics, including CI/CD, version control, infrastructure as code, etc.
- Experience in Schema Design, Data Modelling and Metadata management
- Comfortable working with a variety of different tools and scripting languages and flexible in your choice of key technologies in the data analytics stack.
- Ability to work independently in a small, globally-distributed remote team.
- Strong written and verbal communication skills and a proven ability to work with engineers, data analysts and non-technical stakeholders across all departments of an organisation.
Nice to haves:
- Experience developing software and scripts in Go and Javascript.
- Experience with Snowflake, Apache Airflow, dbt and Rudderstack.
- Experience with data visualisation tools such as Looker.
- Experience working in open source communities.
Australia - Canada - Chile - Finland - Georgia - Germany - India - Mauritius - Philippines - Poland - South Africa - Turkey - Ukraine - Uganda - United Kingdom - United States
We are constantly working towards adding more countries/regions to this list, but first we need to make sure we are compliant with local laws and regulations, which takes time.
Mattermost is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people from all walks of life. We don't discriminate against staff or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Tags: Airflow CI/CD Computer Science Data Analytics Data pipelines Engineering ETL JavaScript Looker Mathematics Open Source Pipelines Python Security Snowflake SQL Travel
Perks/benefits: Flex hours Flex vacation
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs