As a Data Analytics Engineer, you will play a key role in shaping data-driven solutions by designing and implementing robust data systems. You'll work within a global team to develop end-to-end data pipelines that support analytics, forecasting, and reporting across diverse datasets.
What You’ll Do
- Build and maintain data processing tools in Python to support analysis, modeling, and forecasting workflows
- Design and optimize data pipelines using Python and Snowflake for efficient ingestion, transformation, and loading
- Create interactive web applications with Streamlit to visualize data and deliver insights
- Apply statistical and algorithmic methods to improve data operations and modeling accuracy
- Collaborate with technical and analyst teams worldwide to define requirements and deliver scalable solutions
- Test and deploy data systems in production environments with a focus on reliability and performance
What We’re Looking For
You should have a degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience in data engineering or analytics. Professional experience should include hands-on work with Python and SQL in database environments such as Snowflake, PostgreSQL, MySQL, or Oracle.
- BA/BS in Computer Science, Mathematics, Statistics, or Data Engineering, or 3–5 years of relevant experience
- 1–2 years in a technical role involving data systems, with experience supporting team objectives
- Strong fluency in Python and SQL, with experience in cloud-based data platforms
Work Environment
This role offers a hybrid work model with flexibility in scheduling. You can work remotely or from an office location based on team needs and personal preference. The position includes generous time-off benefits, including five weeks of vacation plus additional corporate holidays.
Benefits & Culture
The organization values collaboration, intellectual curiosity, and rigorous problem-solving. You’ll be supported in long-term career growth and meaningful contributions to data innovation. Benefits include a flexible cafeteria plan for wellness, pension, or lifestyle spending, meal allowances, and access to a Multisport card.
Equal employment opportunity is a core principle. Qualified applicants will receive consideration without regard to race, color, religion, gender, or national origin. Employment verification is required, and the organization participates in E-Verify.
