Data Engineer
Skills
Code ReviewData LakesData ModelingData PipelinesData ScienceData WarehousingDatabases
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years as Data Engineer or similar role
- Strong fundamentals in data-related disciplines (warehousing, modeling, science)
- Knowledge of ELT methodologies
- Experience with relational, document, or graph databases
- Experience with data lakes and data warehouses
- High standards in evaluating technical trade-offs and balanced solutions
- Strong problem-solving skills and attention to detail
- Ability to work in a fast-paced environment
- Leadership and mentoring experience
- Self-motivated with strong organizational skills
- Positive and solution-oriented mindset
- Thrive in a fully remote organization
- Communicate clearly and effectively in verbal and written form
Nice to have
- Startup environment experience
- Proficiency with Snowflake, dbt, Fivetran, Prefect, Streamlit, Tableau
- Understanding of cloud computing technologies (S3, EC2, Lambda, Glue, Athena, Quicksight)
- Proven track record of building Dimensional Models
- Customer-first mindset and automation seeker
- Experience in building data pipelines using dbt and Python
- Love for data and making it consumable and meaningful
Day to day
- Be part of an autonomous team of engineers to build, enhance, and maintain the Tackle Data Platform
- Solve moderately complex technical problems
- Generate reporting and analytics to support business processes
- Own your domain and code from start to finish, taking pride in what you build
- Mentor less experienced Data Engineers and learn from more experienced colleagues
- Participate in thorough code reviews and troubleshoot complex issues
- Be curious and strive to understand how your contributions tie into the larger picture
- Welcome different perspectives in every interaction
Hiring process
- Phone screen
- 3 video chat interviews
- Take home test or additional steps if required