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Mid Data Engineer

Remote:

Full Remote

Contract:

Full time

Work from:

Brazil

Offer summary

Qualifications:

Solid understanding of SQL and data design principles, Experience with SQL, Snowflake, Airflow, and basic programming.

Key responsabilities:

Build and maintain data infrastructure
Implement SQL-first transformation workflows and deploy analytics code

WEX XLarge https://www.wexinc.com/

5001 - 10000 Employees

See more WEX offers

Job description

About the Team/Role

We’re the Data Platform team. We are the core data infrastructure and workflow group at the company, working with cutting-edge cloud data technologies. Our team works hard, covers for one another, and maintains work-life balance. We own our results and we take pride of ownership in everything we do.

As a Data Engineer at WEX, you’ll be responsible for building and maintaining the bridge between our data and the rest of the organization. You’ll work with stakeholders to understand business requirements and then implement SQL-first transformation workflows to deploy analytics code. You’ll help ensure the integrity, reliability, and usability of data for stakeholders, so they can make critical data-driven decisions. You’ll be part of a collaborative scrum team that consists of an Agility Engineer, Technical Program Manager, Data Engineers, QA, and DevOps. You’ll also be supported by a manager that is here to listen and help you grow.

A highly motivated individual who loves working as part of a high performing team
Someone who cares deeply for team results, checks your ego at the door, and takes pride in owning results
You can share one or more passion projects or have contributed to open-source projects in your own time.
You are constantly learning and upskilling, because that's who you are.
You are a critical thinker with strong analytical and problem-solving abilities.
You are self motivated and able to work independently with minimum supervision.

How you’ll make an impact

Our core stack for this position consists of dbt (data build tool) or another imperative tool , SQL, Snowflake, and Airflow. You possess the following skills and experiences:

Solid understanding of SQL to perform data transformation tasks.
Strong understanding of data design principles and dimensional data modeling.
Advanced SQL skills and understanding of query optimization strategies in Snowflake.
Fundamental understanding of DAGs and operators in Airflow, hands-on experience with action and sensor operators.
Solid understanding of basic programming concepts (in Python or similar modern languages).

Experience you’ll bring

Strong experience as an Data Engineer developing complex data models using dbt, macros or Jinja and building data pipelines
Exceptional analytical and problem-solving skills
BS in a technical or quantitative field; or you can make us feel intensely confident that you don’t need one.