Senior Data Engineer — AWS/Snowflake/PySpark | Onsite 3x/wk

Valiant Technologies LLC; McLean (VA); Hybrid; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Hybrid work schedule

Onsite 3 days/week

Zusammenfassung

Valiant Technologies LLC is seeking a data engineer to design, build, and optimize scalable data pipelines on AWS. You will develop cloud-based data solutions, leverage Snowflake for storage and processing, and create dashboards for cross-platform data consumption.

The role emphasizes monitoring, observability, and incident response in production environments. The ideal candidate has 6+ years of data engineering experience with PySpark, AWS Glue, Snowflake, SQL, and Databricks, and is

Qualifikationen

• 6+ years of data engineering experience.
• Strong hands-on expertise with AWS data engineering services.
• Proven experience with PySpark, AWS Glue, Snowflake, SQL, and Databricks.
• Experience building and supporting enterprise-scale data pipelines.
• Knowledge of dashboard development, monitoring, and observability solutions.
• Comfort working in production environments and supporting critical data workflows.
• Ability to work onsite three days per week in McLean, VA or Riverwoods, IL.

Aufgaben

• Design, develop, and optimize scalable data pipelines.
• Build data solutions for evolving consumer and business requirements.
• Develop and maintain cloud-based data engineering solutions on AWS.
• Use Snowflake for enterprise data storage and processing.
• Create dashboards and support data consumption across platforms.
• Implement and enhance monitoring, observability, and operational excellence practices.
• Monitor production workflows and respond to incidents, including through PagerDuty.
• Collaborate with business and technology teams to deliver reliable data products.

Kenntnisse

AWS data services

PySpark

Snowflake

SQL

Databricks

Dashboard development

Monitoring/observability

Tools

AWS Glue

PagerDuty

Jobbeschreibung

Valiant Technologies LLC is seeking a data engineer to design, build, and optimize scalable data pipelines on AWS. You will develop cloud-based data solutions, leverage Snowflake for storage and processing, and create dashboards for cross-platform data consumption.

The role emphasizes monitoring, observability, and incident response in production environments. The ideal candidate has 6+ years of data engineering experience with PySpark, AWS Glue, Snowflake, SQL, and Databricks, and is