Software Engineer Data Science Full-Stack @ Taskify
placeHybrid
attach_money $120,000
businessHybrid
schedulePart Time
Posted 11 hours ago
Your Application Journey
Interview
Email Hiring Manager
****** @taskify.com
Recommended after applying
Job Details
About the Software Engineer Data Science Full-Stack Role
Taskify is seeking a skilled Software Engineer with a full-stack data perspective to join our dynamic Data team. In this critical role, you will build and maintain robust data pipelines powering Data Science, Engineering, and Product teams. Your work will ensure 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, and PostHog.
- Design and implement dbt models and transformations to standardize complex datasets.
- 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 availability.
- Own data quality and reliability from ingestion through consumption.
- Continuously monitor, improve pipeline performance, and ensure scalability.
What We’re Looking For
- Proven expertise in data engineering with strong SQL, Python, and modern data tools.
- Experience designing and maintaining large-scale ETL/ELT pipelines.
- Solid understanding of data modeling, schema design, and best practices.
- Knowledge of data governance, monitoring, and quality assurance frameworks.
- Comfortable working cross-functionally with engineering, product, and operations teams.
- Bonus: Experience in supporting machine learning workflows or analytics platforms.
Why Join Taskify
Benefit from a remote-first culture offering flexibility and autonomy. Work alongside diverse, high-caliber teams driving innovation and have a genuine impact on data infrastructure powering AI and next-generation products. Taskify fosters an inclusive environment welcoming all qualified applicants with reasonable accommodations available.
Key skills/competency
- ETL
- dbt
- SQL
- Python
- Fivetran
- Data Modeling
- Data Governance
- Pipeline Monitoring
- Data Quality
- Collaboration
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Customize your resume: Highlight full-stack data skills and experiences.
- Review Taskify culture: Understand their remote-first and innovative mindset.
- Showcase project work: Demonstrate real-world ETL and data pipeline projects.
- Prepare for interviews: Emphasize collaboration and technical problem-solving.
📝 Interview Preparation Advice
Technical Preparation
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Review ETL pipeline design.
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Practice SQL and Python coding.
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Study dbt model implementation.
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Familiarize with Fivetran and Snowflake.
Behavioral Questions
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Describe a time you solved a pipeline issue.
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Explain cross-team collaboration methods.
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Share a challenge in data quality maintenance.
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Discuss managing competing data priorities.
Frequently Asked Questions
What qualifications does Taskify seek for the Software Engineer Data Science Full-Stack role?
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How important is cross-functional collaboration at Taskify for this role?
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What technical tools should candidates master for the Software Engineer Data Science Full-Stack position at Taskify?
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Does Taskify value remote work in their Software Engineer Data Science Full-Stack role?
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Are there opportunities to work on machine learning workflows at Taskify?
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