S5 Stratos
Senior Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 20, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Data Engineer
Requirements and responsibilities
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Details
- Develop and automate large scale, high-performance data processing systems (batch and/or streaming)
- Translate business needs into data models: implement data strategies, build data flows and develop conceptual data models.
- Implement deployment and infrastructure automation strategies.
- Build data support for our experimentation efforts, solving problems from statistical test automation to building real-time M/L pipelines
- Automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.
- Promote data modeling standardization, define, and drive adoption of the standards.
- Build analytics and reporting tools that utilize the data pipeline to provide results and business value to make data-driven decisions.
- Maintain and improve upon our existing ETL pipeline
- Perform routine maintenance tasks and upgrades of our server architecture
- Work with stakeholders to assist with data-related technical issues and support data infrastructure needs.
- Apply best practices for testing and deployment in an agile environment.
- Contribute to shared Data Engineering tooling & standards to improve engineering productivity across the company
- Expert-level understanding of relational databases (columnar and row-based)
- Expertise in SQL is a must.
- Prior experience working with Tier-1 technology consulting firms is a huge plus
- Proven hands-on experience building complex ETLs in a business environment with large-scale, complex datasets
- Scripting experience in python and bash shell required
- Fully proficient in pipeline building and job automations
- Proficiency with Git
- Experience building RESTful APIs
- Experience with error handling and data validation
- Experience working in GCP or other cloud platforms
- Bachelors in Computer Science, Engineering or similar
- Must be eligible to work in the US.
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