Data Engineer

Robotics Technologies LLC; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Robotics Technologies LLC is seeking an experienced data engineer to design, build, and operate scalable data pipelines and cloud-based solutions. You will leverage AWS services, Snowflake, and Databricks to support enterprise data workflows and provide dashboards for cross-functional teams.

The role requires strong production experience, a focus on observability, and the ability to work onsite three days per week in McLean, VA or Riverwoods, IL.

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.

Responsibilities

• 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.

Skills

Data engineering

Production experience

Tools

PySpark

AWS Glue

Snowflake

SQL

Databricks

AWS data services

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.