Software Engineer Data Science Full-Stack @ Taskify
placeHybrid
attach_money $120,000
businessHybrid
schedulePart Time
Posted 9 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @taskify.com
Recommended after applying
Job Details
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
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Research Taskify's culture: Study their mission, team, and recent projects.
- Tailor your resume: Highlight data engineering and full-stack skills.
- Showcase ETL expertise: Emphasize SQL, Python, and pipeline projects.
- Prepare technical answers: Review dbt, Fivetran, and data workflows.
- Network on LinkedIn: Connect with current Taskify employees.
📝 Interview Preparation Advice
Technical Preparation
circle
Review SQL and Python coding challenges.
circle
Study modern ETL/ELT pipeline best practices.
circle
Practice dbt model development and troubleshooting.
circle
Familiarize with Fivetran and Snowflake integrations.
Behavioral Questions
circle
Describe cross-team problem-solving experiences.
circle
Explain how you manage project deadlines.
circle
Share examples of adapting to new tech.
circle
Discuss handling high-pressure work scenarios.
Frequently Asked Questions
What technical skills does Taskify expect for Software Engineer Data Science Full-Stack?
keyboard_arrow_down
How important is cross-functional collaboration at Taskify for this role?
keyboard_arrow_down
Can prior experience in machine learning workflows benefit a Software Engineer Data Science Full-Stack applicant at Taskify?
keyboard_arrow_down
What does a remote work setup look like for Taskify?
keyboard_arrow_down