Data Transformation Leader
3 weeks ago
that focuses on business outcomes. Our team ensures that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows.
The Senior Data Engineer will be responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions.
Estimated Salary: $150,000 - $200,000 per year.
Job Description:- Lead the Design and Build of Data Pipelines: Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets.
- Set Data Infrastructure Strategy: Define and execute the strategy for building and maintaining data warehouses, data lakes, and other data storage systems that support both operational and analytical needs.
- Experience: 5-7+ years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows.
- Hands-On Expertise: Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling.
- Competitive compensation package.
- Great Healthcare + Dental + Vision benefits.
- Flexible PTO policy.
- Culture of support, encouraging Life-Work balance.
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