# Data Engineer - Snowflake at Tiger Analytics

> Remote · Canada · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/workable%3Atiger-analytics%3AB5419340A9 (read 2026-11-05).

## Facts (observed)

- Company: [Tiger Analytics](https://alderhq.app/companies/tiger-analytics)
- Location text: Toronto, Ontario, Canada
- Where it can be done from (inferred): Remote · Canada (evidence: "Remote role open worldwide")
- Posted: 2026-03-17 (234 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/B5419340A9
- Skills listed (inferred): Python, AWS, Spark, Snowflake, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Toronto, n 6): p25 CAD 111k, median CAD 123k, p75 CAD 133k

## Description (the employer's text)

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

### Requirements

- 12+ years of overall industry experience specifically in data engineering with a heavy focus on the AWS Cloud stack and AI.
- 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
- Advanced proficiency in Python, SQL, and PySpark.
- Creating and optimizing complex data processing and data transformation pipelines using python
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Deep experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark.
- Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
- Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience supporting and working with cross-functional teams in a dynamic environment
### Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Atiger-analytics%3AB5419340A9 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.