Data Engineer

Quantum Technologies. LLC; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced Senior Data Engineer to design, build, and maintain scalable data pipelines on AWS. You will work with Snowflake, PySpark, Databricks, and dashboards to enable data-driven decision making across business units.

The role requires onsite presence three days per week in McLean, VA, with potential flexibility for Riverwoods, IL. You will collaborate with cross-functional teams to improve data reliability and observability.

Qualifications

• 6+ years of data engineering experience.
• Hands-on with AWS data services.
• Experience with PySpark, AWS Glue, Snowflake, SQL, and Databricks.
• Build and support enterprise-scale data pipelines.
• Dashboard development and observability knowledge.
• Onsite three days per week in McLean, VA or Riverwoods, IL.

Responsibilities

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

Skills

Data engineering

AWS data services

PySpark

Snowflake

Databricks

SQL

Dashboard development

Monitoring & observability

Production support

Tools

AWS Glue

Snowflake

Job description

• 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.