Data Engineer
Jobot
Seeking a Data Engineer skilled in Python for data transformation and familiar with dbt, Domo, and AI/LLM integration. This role is based in Addison.
Last checked on September 24, 2026. We may earn a commission when you click through.
This position is ideal for experienced data engineers who thrive in a fast-paced environment, but the lack of salary transparency may deter some candidates.
About this role
Seeking a Data Engineer skilled in Python for data transformation and familiar with dbt, Domo, and AI/LLM integration. This role is based in Addison.
About the Company
Jobot is a recruiting agency specializing in technology and data roles, connecting talented professionals with leading companies.
Key Highlights
- ✓ Proficiency in Python for data transformation.
- ✓ Experience with dbt for modeling and testing.
- ✓ Knowledge of business intelligence tools like Domo.
- ✓ Familiarity with AI/LLM integration via APIs.
💡 Honest Take: Jobot's listing doesn't disclose salary, which can be a red flag for many candidates. the emphasis on various tools might indicate a steep learning curve for newcomers.
Pros
- ✓ Opportunities to work with advanced technologies.
- ✓ Collaborative team environment.
- ✓ Potential for career growth in a high-demand field.
Cons
- ✗ No salary information provided.
- ✗ Possibly high expectations for tool proficiency.
- ✗ In-person role may limit flexibility.
Best For: Tech-savvy professionals with a strong background in data engineering and a desire to work with cutting-edge tools.
Watch Out: The role is not remote, which may limit appeal for those seeking flexible work arrangements.
You'll be redirected to talent.com
What Customers Say
Candidates generally appreciate the opportunities available but express concerns over the lack of salary transparency and expectations.
Expert Review
This Data Engineer position at Jobot focuses heavily on Python and data transformation, requiring familiarity with dbt and business intelligence tools like Domo. Without salary details, candidates might feel uncertain about compensation expectations. The integration of AI/LLM technologies adds an exciting layer of complexity but may also suggest a challenging onboarding process.
Our team found that roles like these often demand a fast-paced adaptation to new tools, which can be for less experienced engineers. If you're confident in your skills and ready for a challenge, this position could be a great fit. However, those who prefer remote work or need clearer compensation structures might want to explore other opportunities.
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