Senior Data Engineer

SimplyAnalytics; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a Senior Data Engineer to enhance their spatial analytics platform. In this exciting role, you will process datasets, manage data workflows, and develop ETL pipelines that will impact thousands of users. With a focus on collaboration and continuous improvement, you'll work with talented colleagues to create production-quality tools. Enjoy the flexibility of a fully remote position, excellent work-life balance, and opportunities for professional development. If you are passionate about data visualization and analytics, this role is perfect for you.

Benefits

Flexible work hours

20 personal days off

Quarterly professional development days

100% remote work

Qualifications

• 5+ years of professional software development experience.
• 3+ years with large PHP and Python codebases.
• Experience with data orchestration platforms.

Responsibilities

• Design and develop data processing tools and features.
• Process datasets through data pipelines.
• Write clean, scalable, maintainable code.

Skills

Software Development

Data Processing

PHP

Python

Data Manipulation

Linux CLI

Data Orchestration

Tools

PostgreSQL

Docker

Dask

Dagster

Job description

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, conduct data related QA, and supervise a team of data developers. 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 and work anywhere in Canada, the United States, Mexico, Central America, and South America. This is a full-time salaried position. When applying, please include a cover letter.

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 PHP codebases
• 3+ years of experience working with large Python codebases
• Comfortable using Linux CLI
• Experience with PostgreSQL
• Advanced relational database and data manipulation skills
• Experience with data orchestration platforms (e.g., Dagster, Airflow, or Prefect)
• 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 Mypy or other static analyzers
• Experience with AWS

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Internet Publishing