Stealth AI Company
Senior Data Engineer
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About The Role
We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making across the organization. The ideal candidate has strong expertise in SQL, Python, DBT, Fivetran, Airflow, and Snowflake, along with experience developing robust data architectures and optimizing data workflows in a modern cloud environment.
As a Senior Data Engineer, you will collaborate closely with Data Analysts, Analytics Engineers, Data Scientists, and business stakeholders to ensure high-quality, reliable, and accessible data across the organization.
Key Responsibilities
- Design, develop, and maintain scalable ELT/ETL pipelines using Python, Fivetran, DBT
- Build and optimize data models within Snowflake to support analytics and reporting
- Develop and maintain reusable, well-documented DBT models, tests, and data transformations.
- Monitor and improve data pipeline performance, reliability, and scalability.
- Implement data quality frameworks, validation checks, and automated testing processes.
- Manage workflow orchestration and scheduling using Airflow.
- Partner with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
- Design and maintain data warehouse architecture, ensuring best practices for governance, security, and performance.
- Troubleshoot data issues and proactively identify opportunities for process improvement.
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Required Qualifications
- 3+ years of experience in Data Engineering, Analytics Engineering, or a related field.
- Advanced SQL skills with experience optimizing complex queries and large-scale datasets.
- Strong Python programming experience for data processing and automation.
- Hands-on experience with DBT, including data modeling, testing, documentation, and deployment.
- Experience implementing and managing data pipelines using Fivetran or similar ELT tools.
- Strong experience with Apache Airflow for workflow orchestration.
- Expertise in Snowflake architecture, performance tuning, and data warehouse design.
- Experience working with cloud-based data platforms and modern data stack technologies.
- Strong understanding of data warehousing concepts, and ELT best practices.
- Experience with Git-based version control and CI/CD practices.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Experience with AWS, Azure, or Google Cloud Platform.
- Familiarity with data governance, data lineage, and metadata management tools.
- Experience supporting BI platforms such as Tableau, Power BI, or Looker.
- Knowledge of Infrastructure as Code (Terraform or similar tools).
- Experience with streaming or near real-time data pipelines.
- Experience in Agile/Scrum development environments.
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Success Metrics
- Reliable, scalable, and maintainable data pipelines.
- High data quality and trustworthiness across analytics platforms.
- Reduced pipeline failures and improved operational efficiency.
- Timely delivery of data solutions that enable business decision-making.
- Strong collaboration across engineering, analytics, and business teams.
Technical Stack
- SQL
- Python
- DBT
- Fivetran
- Apache Airflow
- Snowflake
- Git
- Cloud Platforms (AWS, Azure, or GCP)
What We Offer
- Opportunity to work on a modern cloud-based data platform.
- Collaborative and data-driven culture.
- Career growth and leadership opportunities.
- Competitive compensation and benefits package.
By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
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