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AaraTechnologies Inc

DATA ENGINEER

Pay: $65,000–$75,000/yr

Posted: 5 weeks ago

Location: Virginia Beach, VA (Hybrid)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 10/11/2026

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What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$111,628 / year median in Virginia

+6% projected growth

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Job Description

DATA ENGINEER

Hybrid in Virginia Beach, VA, US • Posted 4 hours ago • Updated 4 hours ago Contract W2 Contract Independent On-site $65,000 - $75,000/yr Fitment Dice Job Match Score™ 🎯 Assessing qualifications... Job Details Skills Communication Data Engineering Data Processing Collaboration Data Quality Data Validation Amazon Web Services Documentation Extract Transform Load SQL Data Warehouse ELT Python Business Intelligence Reporting Communication Data Engineering Data Processing Collaboration Data Quality Data Validation Amazon Web Services Documentation Extract Transform Load SQL Data Warehouse ELT Python Business Intelligence Reporting Summary Data Engineer Banking (2-3 Years Experience)

Company:

AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and validating banking and transaction data. You will collaborate with analytics teams to support reporting and compliance needs. Ideal for early-career data professionals. Key Responsibilities Support

ETL / ELT

data pipelines Write SQL queries and basic Python scripts Assist with data ingestion and transformation Perform data quality checks Support data warehouse activities Collaborate with BI teams Maintain technical documentation Required Qualifications 2-3 years of experience in data engineering or analytics Strong SQL skills Basic Python knowledge Understanding of ETL concepts Exposure to cloud platforms Analytical mindset Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Banking & Financial Data, Transaction Data Processing, Data Warehousing Concepts, AWS Basics, Data Quality, Data Validation, Compliance Awareness, Documentation, Collaboration with BI Teams Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

91121805

Position Id:

9053499 Posted 4 hours ago