Negotiable
Outside
Hybrid
USA
Summary: AaraTech Inc is looking for a Data Engineer to assist in the development of data pipelines, ETL processes, and data integration tasks across both cloud and on-premises systems. This position is tailored for early-career professionals eager to gain hands-on experience with modern data tools while supporting analytics and engineering teams. The role emphasizes collaboration and the maintenance of data workflows. Candidates will have the opportunity to work in a supportive environment that fosters growth and mentorship.
Key Responsibilities:
- Develop, maintain, and optimize ETL/ELT pipelines for data ingestion and transformation.
- Work with structured and unstructured data from multiple sources.
- Support data modeling, data integration, and schema design activities.
- Collaborate with analysts, data scientists, and developers to deliver reliable datasets.
- Perform data validation, quality checks, and troubleshoot pipeline issues.
- Assist in managing cloud data environments (AWS, Azure, or Google Cloud Platform).
- Maintain documentation for pipelines, workflows, and data processes.
- Monitor performance and help optimize queries and data workflows.
Key Skills:
- 1-2 years of experience as a Data Engineer or similar data-focused role.
- Strong experience with SQL and relational databases.
- Knowledge of Python for data processing and automation.
- Understanding of ETL tools, data pipelines, and data warehousing concepts.
- Exposure to cloud platforms (AWS, Google Cloud Platform, or Azure) and services like S3, BigQuery, or Azure Data Lake.
- Familiarity with Apache Spark, Airflow, or similar frameworks (preferred).
- Good problem-solving, debugging, and analytical skills.
- Ability to collaborate with cross-functional data and engineering teams.
Salary (Rate): undetermined
City: Washington
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Entry Level
Industry: IT
Company: AaraTech Inc
Experience: 1 2 Years
About the Role: AaraTech Inc is seeking a Data Engineer to support data pipeline development, ETL processes, and data integration tasks across cloud and on-prem systems. This role is ideal for early-career professionals who want hands-on experience building data workflows, working with modern data tools, and supporting analytics and engineering teams.
Key Responsibilities:
- Develop, maintain, and optimize ETL/ELT pipelines for data ingestion and transformation.
- Work with structured and unstructured data from multiple sources.
- Support data modeling, data integration, and schema design activities.
- Collaborate with analysts, data scientists, and developers to deliver reliable datasets.
- Perform data validation, quality checks, and troubleshoot pipeline issues.
- Assist in managing cloud data environments (AWS, Azure, or Google Cloud Platform).
- Maintain documentation for pipelines, workflows, and data processes.
- Monitor performance and help optimize queries and data workflows.
Skills & Qualifications:
- 1 2 years of experience as a Data Engineer or similar data-focused role.
- Strong experience with SQL and relational databases.
- Knowledge of Python for data processing and automation.
- Understanding of ETL tools, data pipelines, and data warehousing concepts.
- Exposure to cloud platforms (AWS, Google Cloud Platform, or Azure) and services like S3, BigQuery, or Azure Data Lake.
- Familiarity with Apache Spark, Airflow, or similar frameworks (preferred).
- Good problem-solving, debugging, and analytical skills.
- Ability to collaborate with cross-functional data and engineering teams.
Why Join AaraTech Inc?
- Excellent opportunity to grow your Data Engineering career.
- Work with modern data tools and cloud technologies.
- Supportive team environment with mentorship.
- Competitive salary and benefits.
- Remote-friendly with training and certification support.