Software Engineer Data Science Full-Stack

Job Overview

Taskify is seeking a skilled Software Engineer with a full-stack data perspective to join our dynamic Data team. In this role, 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 like MongoDB, Airtable, PostHog, and production databases.
• Design and implement dbt models and transformations to create clean, production-ready schemas.
• Build fault-tolerant data workflows using tools such as Fivetran, dbt, SQL, and Python.
• Collaborate with engineers, data scientists, and business stakeholders to ensure data accuracy and usability.
• Own end-to-end data quality and reliability from ingestion to consumption.
• Monitor, improve pipeline performance, and scale data processes continuously.

What We’re Looking For

• Expertise in data engineering including SQL, Python, and modern data tools (Fivetran, dbt, Snowflake or equivalent).
• Experience in designing and maintaining large-scale ETL/ELT pipelines across heterogeneous data sources.
• Solid understanding of data modeling principles, schema design, and data 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 with supporting machine learning workflows or analytics platforms.

Why Join Taskify

Taskify offers a remote-first culture with flexibility and autonomy, the opportunity to work with diverse high-caliber teams, and the chance to impact data infrastructure powering cutting-edge AI and technology solutions. Inclusive environment with reasonable accommodations available.

Key skills/competency

• ETL/ELT
• SQL
• Python
• dbt
• Fivetran
• Data Pipelines
• Data Modeling
• Data Governance
• Schema Design
• Collaboration