Mid-level Data Engineer
SunnyData is hiring a Mid-level Data Engineer for a remote role open to applicants in Uruguay. Level rates it ; you can apply on SunnyData.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions scikit-learn, Databricks and Spark among its tools and skills.
- Level classes it as a mid-level role.
- SunnyData has 28 other open roles on Level.
AI in this role
Design and build data engineering pipelines and solutions to support business intelligence and AI/ML applications.
Are you ready to jump start your career in the exciting and innovative data engineering field?
At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Data Engineer, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights.
The Impact You Will Have
Be part of a team responsible for supporting new and existing customers in their data engineering needs.
Guide customers to make the best technical decisions to achieve their goals.
Actively work across multiple customer accounts which you would need to track and report on their progress.
Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.
Analyze data sources to determine their value and recommend them to include in analytical processes.
Incorporate core data management competencies including data governance, data security and data quality.
Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
Test data movement, transformation code, and data components.
What We Look For
Highly motivated individual with a continuous learning mindset. Excellent time management and prioritization skills.
Strong English verbal and written communication skills.
Familiarity with public cloud platforms AWS, Azure or GCP.
Nice to have: Experience in one or more of the following
Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Nice to have: Databricks data engineering or machine learning certification.
Education:
Bachelor’s Degree in Computer Science or Engineering related field.
Our Commitment to Diversity and Inclusion:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
Why Join SunnyData?
Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.
How we rate this
Mid-level Data Engineer at SunnyData rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where cloud platforms was part of your work. What did you do?
- Walk me through how you've used scikit-learn in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Data Governance, Cloud Platforms, and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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