Data Engineer

Ethereum Technologies; McLean (VA); Hybride; USD 120 000 - 180 000; Plein temps

Résumé du poste

Ethereum Technologies in McLean, VA is seeking a senior data engineer to design, build and optimize scalable data pipelines. You will work with AWS services, Snowflake, PySpark, SQL and Databricks to deliver reliable data products for business stakeholders.

This role requires hands-on production support, strong observability practices, and on-site collaboration three days per week in McLean, with opportunities to influence data strategy across teams.

Qualifications

• 6+ years of data engineering experience.
• Hands-on experience with AWS data engineering services.
• Expertise in 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.

Responsabilités

• 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.

Connaissances

Dashboard development

Observability

Production support

Outils

AWS data services

PySpark

AWS Glue

Snowflake

SQL

Databricks

Description du poste

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• 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.

Required Qualifications:

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.