Data Engineer
Remote (Uruguay)
Sparq
We design, build, deploy and support digital applications, products and experiences. Contact our Sparq team today.Team Sparq is committed to creating high-quality tech careers while helping clients accelerate their digital transformation journey. We are committed to being an inclusive workplace, maintaining a culture of equitable, diverse employment and advancement company-wide.
Why you will enjoy Mondays again:
- Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment
- Progressive career journey and opportunity for advancement
- Continuous development through training, mentorship and certification programs
- Exposure to modern technologies across various industries in an agile environment
- Remote work
A Day in the Life:
- Design and implement scalable, high-performance data pipelines using Redshift, dbt, Dagster, and Python.
- Collaborate with cross-functional stakeholders to gather requirements, define project scope, and develop efficient data models and transformations.
- Conduct code reviews to ensure quality, performance, and alignment with established engineering standards.
- Serve as a subject matter expert in Redshift, dbt, Dagster, and Python, staying current with emerging tools, frameworks, and best practices in the data engineering ecosystem.
- Troubleshoot, optimize, and enhance existing data pipelines and workflows to ensure data integrity, performance, and reliability.
- Maintain comprehensive technical documentation, including architecture diagrams, data flow designs, and implementation guides.
What it takes:
- Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client
- Commitment to understanding and exceeding client expectations
- Ability to perform project oversight and execution of deliverables
- Flexibility to adapt within a high-growth organization
- Ability to lead, mentor and motivate those around them
- Hunger for continuous learning and professional development
- Intellectual curiosity to provide creative solutions
- Full understanding of the software development life cycle
- Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc.
- Desire to work in a team environment
- Good interpersonal, written and verbal communication skills
Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Dagster Data pipelines dbt Engineering Pipelines Python Redshift SDLC
Perks/benefits: Career development Startup environment
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