Senior Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer SQL based in United States.

• Design, build, and support non-interactive batch, distributed, and real-time data pipelines that are highly available, accurate, and scalable.
• Develop fault-tolerant, self-healing, and adaptive data processing and computational pipelines.
• Apply deep data engineering expertise to complex technical programs, providing consultation and leading implementation efforts.
• Develop, maintain, and continuously improve documentation for assigned systems, data solutions, and projects.
• Optimize and tune SQL queries operating over billions of rows within distributed query environments.
• Perform root cause analysis on software and business-process issues and implement sustainable, permanent resolutions.
• Work across data engineering, analytics, and data science initiatives to translate technical requirements into reliable production solutions.
• Use automation, cloud services, and infrastructure-as-code practices to improve the reliability and maintainability of data platforms.

• 1+ years of relevant industry experience in data engineering, analytics, data science, or a closely related discipline, or a Bachelor's/Master's degree in Engineering, Mathematics, Statistics, Computer Science, or another quantitative field.
• Strong hands-on SQL Server expertise, particularly T-SQL and query-intensive workloads, with an emphasis on direct SQL rather than ORM-based development.
• Working knowledge of PostgreSQL, including the ability to read data from replicated environments.
• Proficiency in Python and FastAPI for developing data-oriented applications and services.
• Experience with scikit-learn, including techniques such as percentile calculations and outlier detection.
• Understanding of acceptance and likelihood models, including carrier-acceptance-probability logic and related analytical approaches.
• Experience consuming data from Kafka, without necessarily requiring experience building Kafka infrastructure.
• Ability to read and understand C# code sufficiently to extract business and application logic.
• Familiarity with AWS services such as S3, RDS, Secrets Manager, and CloudWatch.
• Working knowledge of Terraform and the ability to confidently navigate infrastructure-as-code configurations.
• Strong understanding of data management, distributed processing, cloud technologies, automation, and data pipeline architecture.
• Ability to troubleshoot complex systems, conduct structured root cause analysis, and communicate technical concepts clearly.
• Strong analytical thinking, attention to detail, and the ability to work independently while collaborating effectively with technical and business stakeholders.
• Candidates who do not meet every listed qualification are still encouraged to apply, particularly those who bring transferable experience, strong learning agility, and diverse perspectives.

• $110,000–$155,000 annual salary, depending on experience and geographic location.
• Full-time position based in the United States.
• Remote and hybrid work options, depending on location.
• Career advancement opportunities and international mobility programs.
• Professional development and ongoing learning opportunities.
• Access to modern tools, training, and industry experts.
• Benefits tailored to the employee's location, with full details provided during the hiring process.
• An inclusive and collaborative workplace focused on creativity, autonomy, professional growth, and meaningful impact.
• Reasonable accommodations are available throughout the application and interview process.