Senior Data Analytics Engineer
aKUBE
contract
Posted on:
Location Type: Office
Location: Glendale • California • 🇺🇸 United States
Visit company websiteSalary
💰 $96 per hour
Job Level
Senior
Tech Stack
AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
- Architect and design scalable data products and foundational datasets.
- Develop and maintain high-quality, efficient code for data products.
- Collaborate with stakeholders to define data strategies and understand business requirements.
- Create specifications for data ingestion, transformation, and quality standards.
- Document and train teams on data product usage for automation and reporting.
- Build and optimize data pipelines to automate deployment of analytical and machine learning models.
- Monitor, evaluate, and improve statistical and ML models used in analytics products.
- Partner with data scientists and engineers to translate methodologies into production-ready solutions.
- Coordinate with cross-functional technology and business teams to ensure alignment and delivery.
Requirements
- Strong SQL and Python programming skills
- Experience with data pipeline development and orchestration tools (e.g., Airflow, dbt, or similar)
- Proficiency in cloud data platforms (AWS, GCP, or Azure)
- Knowledge of data modeling, ETL, and data warehousing concepts
- Experience integrating analytics and machine learning workflows
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondata pipeline developmentdata orchestrationdata modelingETLdata warehousingmachine learningstatistical modelingautomation
Soft skills
collaborationcommunicationstakeholder engagementdocumentationtrainingcross-functional coordination