Software Engineer - Data Science Full-Stack

About the Role

Taskify is seeking a skilled Software Engineer - Data Science Full-Stack with a full-stack data perspective to join our dynamic Data team. You will build and maintain robust data pipelines powering Data Science, Engineering, and Product teams, ensuring data reliability, availability, and timeliness across the organization.

What You’ll Do

• Develop, optimize, and maintain scalable ETL/ELT pipelines from diverse sources.
• Design and implement dbt models and transformations for clean, production-ready schemas.
• Build fault-tolerant data workflows using Fivetran, dbt, SQL, and Python.
• Collaborate with engineers, data scientists, and business stakeholders to ensure data accuracy.
• Own data quality end-to-end, from ingestion to consumption.
• Continuously monitor and enhance pipeline performance and scalability.

What We’re Looking For

• Expertise in data engineering with skills in SQL, Python, and modern data stack tools.
• Experience in large-scale ETL/ELT pipeline design and maintenance.
• Solid understanding of data modeling, schema design, and transformation best practices.
• Knowledge of data governance, monitoring, and quality assurance frameworks.
• Ability to work cross-functionally with engineering, product, and operations teams.
• Bonus: Experience supporting machine learning workflows or analytics platforms.

Why Join Taskify

Enjoy a remote-first culture offering flexibility and autonomy while working alongside diverse, high-caliber teams, driving innovation and impacting data infrastructure powering AI and next-generation products. Taskify promotes an inclusive environment welcoming all qualified applicants with reasonable accommodations available.

Key skills/competency

• Data engineering
• SQL
• Python
• ETL/ELT
• dbt
• Fivetran
• Data pipelines
• Data modeling
• Data governance
• Collaboration