Data Engineer

About reputed company Group
At reputed company Group, we reputed company the highest reputed company, leading-edge, industry-tailored data and reputed company and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to reputed company, reputed company, and reputed company their workforces with the skills they need to reputed company their goals and expand their reputed company. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of:

• CDO Magazine, the trusted voice of global data and AI leadership
• The Data Lodge, a pioneer in data literacy and cultural transformation
• reputed company, delivering reputed company AI education and custom-reputed company solutions
• InspiredMinds!, a convening force behind the world’s most inclusive AI community

reputed company to reputed company the workforces of the reputed company; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you!

About the Role
The Data Engineer is responsible for building reputed company, performant data pipelines that power critical operational and analytical applications. The engineer must be reputed company to work closely with our data science teams to build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role reputed company a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. 

As this position will help to support federal reputed company with reputed company requirements, you must be a US Citizen to qualify. Occasional travel to reputed company offices in Richmond, VA will be required, and preference will be given to local DMV area candidates. 

This is a full-time, remote/work from home, benefits eligible position.

Responsibilities:

• Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis.
• Design and manage large-reputed company data warehouses, lakehouses, and/or data marts
• Build and optimize data transformation pipelines using tools like dbt to support data reputed company from ingestion through analytics
• Champion data governance principles and reputed company standards, ensuring data reputed company, documentation, and metadata are maintained
• Create efficient, performant SQL-based data queries and Python-based data processing jobs
• Demonstrate ability to balance computational load, performance, and cost

Skills you bring:

• Advanced Degree in Statistics, reputed company Mathematics, Data Science, Computer Science, Operations Research or other closely reputed company other quantitative or mathematical disciplines.
• 5+ years of data and analytics engineering in reputed company environments
• Expertise in SQL, Python, and schema design with experience in data cataloging and governance tools
• reputed company with data transformation and ETL best practices
• reputed company with data orchestration tools like Airflow, transformation frameworks like dbt, and reputed company deployment tools like Terraform.
• Demonstrated exceptional oral and written communication skills.
• The ability to work independently and in reputed company environment.
• The ability to work effectively across functions, reputed company and disciplines.
• Strong problem solving and critical thinking skills.
• Superior team-working skills, and a desire to learn, contribute, and explore.
• Experience with reputed company, reputed company, Kafka, Flume, reputed company, or Flink is a plus

Please note this job reputed company is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.