Data Engineer

Anvik Technologies; Virginia; On-site; USD 120,000 - 180,000; Full time

Job summary

Anvik Technologies Inc. in McLean, VA is seeking a senior data engineer to design and build scalable, AWS-based data pipelines and dashboards. The role includes Snowflake data storage, production data workflows, and on-site work three days per week at McLean, VA or Riverwoods, IL.

You will monitor workflows, improve observability, and collaborate with business and technology teams to deliver reliable data products across platforms.

Qualifications

• 6+ years of data engineering experience.
• Hands-on experience with AWS data engineering services.
• Proficient with PySpark, AWS Glue, Snowflake, SQL and Databricks.
• Experience building and supporting enterprise-scale data pipelines.
• Knowledge of dashboards, 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 via PagerDuty.
• Collaborate with business and technology teams to deliver reliable data products.

Skills

AWS data engineering

PySpark

Snowflake

SQL

Databricks

Data pipelines

Dashboards

Observability

Production support

Tools

PagerDuty

Job description

Locations: McLean, VA ,Riverwoods, IL (Chicago area)

Duration: +12 Months contract

Interview: Video

Visa: USC, GC, GC/EAD, H4/EAD

Job Description:

Project Overview

You’ll build and support scalable, AWS-based data solutions that enable emerging consumer and business data needs.

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.

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.

Preferred Qualifications

• Experience with PagerDuty and production incident response.
• Background in payments, financial services, or other large-scale data environments.