Data Engineer

Job Title: Data Engineer – Cloud Data Pipelines Company: Aaratech Inc.

Employment Type

Full-Time, W2 (deployed to client projects) Experience: 2-3 years Compensation: $70,000 – $80,000 per year Work Mode: On-Site / Hybrid Work Authorization At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship. Job Summary Aaratech Inc. is seeking a Data Engineer to help build and maintain data pipelines on cloud platforms.

You will develop ETL/ELT workflows, bring data together from multiple systems, and help keep the data that powers reporting and analytics accurate and reliable.

What You Will Do

• Build and maintain ETL/ELT data pipelines using tools such as Azure Data Factory, SSIS, or AWS Glue.
• Pull data together from multiple sources — databases, files, APIs — into clean, usable datasets.
• Write SQL to transform, join, and validate data.
• Use Python scripts to automate routine data tasks.
• Monitor pipelines and help troubleshoot issues when data does not land as expected.
• Work with analysts and business teams to understand what data they need and deliver it.
• Document your pipelines so others can understand and maintain them.

What We Are Looking For

• Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience.
• 2+ years working with data — ETL development, data integration, SQL development, or database work all count.
• Good SQL skills: comfortable with joins, aggregations, and writing queries against real-world data.
• Experience with at least one ETL tool (Azure Data Factory, SSIS, Informatica, Talend, or similar).
• Basic familiarity with data warehouse concepts (tables, schemas, fact/dimension basics).
• Some Python scripting exposure, or a strong desire to learn it.
• Clear communicator and reliable problem-solver.

Tools You Will

Work With

• Cloud: Azure (Data Factory, Synapse) or AWS (Glue, Redshift) — experience with either is fine.
• Databases & warehouses: SQL Server, PostgreSQL, Snowflake, or Databricks.
• Languages: SQL and Python.
• Version control: Git.
• Reporting tools your data will feed: Power BI or Tableau.

Nice to Have (Not Required)

• Any exposure to dbt, Airflow, or Databricks notebooks.
• Awareness of CI/CD or basic DevOps concepts.
• Experience with Power BI or Tableau.
• Certifications such as Azure Data Engineer Associate (DP-203), AWS Data Engineer Associate, or SnowPro Core — helpful but not required.

About Aaratech

Inc. Aaratech Inc. is a technology-driven organization delivering innovative solutions across data & analytics, cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations build scalable cloud data platforms, optimize data workflows, and enable data-driven decision-making through modern engineering practices.