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Senior Data Engineer at SimplyAnalytics. Location Information: Canada. The Company. SimplyAnalytics is a powerful spatial analytics and data visualization application used by thousands of business, marketing, and social science researchers in the United States and Canada. It comes pre-packaged with 200,000+ data variables and allows our users to create maps, charts, tabular reports, and crosstabs. We are passionate about creating outstanding software, and we believe in test driven development, continuous integration, and code review. As a smaller company, each of our developers has an important role to play - at SimplyAnalytics, you are not just another cog in the wheel, you are an integral member of our team. You will be working on valuable features and making key decisions that impact the direction of the product and our users. In addition, we provide an excellent work-life balance, with 100% remote work, 20 personal days off, flexible work hours, a collaborative work environment, and quarterly “professional development days” to explore and share your interests with the rest of the team. . The Role. We're looking for a Senior Data Engineer to process datasets, manage our existing data workflows, develop and maintain ETL pipelines, and conduct data related QA. You will be creating and maintaining production-quality in-house tools within a large shared code base, and the data you curate will be used by thousands of university students, researchers, and marketing professionals. We use PHP and Python for development, Postgres/PostGIS for data storage, and Dask and Dagster for data orchestration. We also use modern software development practices such as static typing and analysis, as well as automated testing. The ideal candidate is a self-starter, has a high level of attention to detail, is comfortable asking questions, enjoys working with talented colleagues, and has an interest in analytics and data visualization. We are a 100% remote company. Our employees can live anywhere in Canada. This is a full-time salaried position. When applying, please include a human written cover letter (do not submit an AI generated cover letter if you would like us to consider your application). . Responsibilities:. Design, develop, and test data processing related tools and features. Process datasets through our data pipelines. Write high-quality, clean, scalable, maintainable code. Contribute ideas for new data processing tools or improvements to existing tools. Assist colleagues through code-review, collaboration, and troubleshooting. Required:. 5+ years of professional software development work experience. 3+ years of experience working with large Python codebases. 3+ years of experience working with large PHP codebases. Comfortable using Linux CLI. Experience with PostgreSQL. Advanced relational database and data manipulation skills. Ability to maintain our full data processing stack in PHP and Python. Experience with Docker. Bonus:. Experience with geospatial demographic, business, marketing, or health data. Experience with PostGIS. Experience with data orchestration platforms (e.g., Dagster, Airflow, or Prefect). Experience with Mypy or other static analyzers. Experience with AWS