Data Engineer
Worldwide
We are seeking a Data Engineer to design, build, and maintain scalable data pipelines that power analytics and machine learning across the organization. In this role, you will develop and optimize ETL/ELT processes, integrate data from diverse sources, and ensure the reliability, quality, and integrity of data across our systems. You will collaborate closely with data scientists, analysts, and software engineers to deliver clean, well-structured datasets and robust data infrastructure. The ideal candidate has strong proficiency in SQL and Python, hands-on experience with cloud platforms and modern data tools (such as Airflow, and databricks), and a solid understanding of data warehousing and modeling concepts. A successful Data Engineer is detail-oriented, thrives in a fast-paced environment, and is passionate about turning raw data into trusted, actionable assets.
- More than 30 hrs/weekHourly
- 6+ monthsDuration
- IntermediateExperience Level
$26.00
Hourly- Remote Job
- Ongoing projectProject Type
Skills and Expertise
Activity on this job
- Proposals:50+
- Interviewing:0
- Invites sent:0
- Unanswered invites:0
About the client
- United StatesLake Forest8:52 PM
- $90K total spent2 hires, 1 active
- 2,224 hours
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