> Markdown version of [/jobs/ext/4022765-data-engineer](https://www.wearedevelopers.com/jobs/ext/4022765-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DATA ENGINEER - **Company:** AARATECH Inc. - **Location:** Maryland City, MD, United States - **Experience:** Experienced - **Contract:** Contract - **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Batch Processing, Cloud Computing, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Dimensional Modeling, Python (Programming Language), Cloud Services, SQL Databases, Transaction Data, Scripting, Data Ingestion, Data Pipelines - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/7cf0143b-8a95-470a-94e5-f125c6f8bb39 ## About the Role * 2-3 years of experience in data engineering or analytics * Strong SQL skills * Basic Python knowledge * Understanding of ETL concepts * Exposure to cloud platforms * Strong analytical mindset * Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation, Data Validation, Data Quality Checks, Retail & E-Commerce Data, Transactional Data Processing, Data Warehousing Concepts, Dimensional Modeling Basics, Cloud Data Platforms (AWS Basics), S3, Redshift Exposure, Batch Processing, Schema Design Basics, Documentation, Collaboration with BI Teams ## Description AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career data professionals., * 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