Cloud Data Engineer
StratifyIQ Analytics LLC- Khost, Obeh
- On-site
- Negotiable
Full-Time
Deadline: 25 Dec, 2025
- Posted: 2 months ago
- Vacancy: 2
About the Company:
StratifyIQ Analytics is a U.S.-based predictive analytics and data intelligence company. From real-time dashboards to automated forecasting, we help enterprises turn raw data into powerful insights that support informed decision-making.
Location:
Austin, Texas, United States
Employment Type:
Full-Time
Experience Level:
3–5 Years
Job Role:
Develop and optimize cloud data pipelines, ensuring secure and efficient data delivery for advanced analytics teams.
Key Responsibilities:
Design and maintain cloud-based ETL pipelines.
Manage data lakes, warehouses, and cloud storage environments.
Oversee automated dataflows and large-scale cloud migrations.
Collaborate with BI and ML teams to deliver accurate, clean datasets.
Ensure compliance, governance, and data security standards.
Requirements:
Bachelor’s in Computer Science, Cloud Engineering, or a related field.
3–5 years of hands-on experience in cloud or data engineering.
Experience with AWS, Azure, or Google Cloud.
Strong skills in SQL, Python, and ETL frameworks.
Knowledge of CI/CD and DevOps tools is a plus.
What We Offer:
Competitive salary and annual performance bonuses.
Growth opportunities and training for cloud certifications.
Supportive, innovation-driven workplace environment.
Access to advanced cloud tools and AI technologies.
How to Apply:
Click “Apply Now” to join StratifyIQ Analytics as a Cloud Data Engineer and help power next-generation data ecosystems.