Data Engineer

AARATECH; Salt Lake City (UT); Hybrid; USD 70,000 - 80,000; Full time

Job summary

Aaratech Inc. is seeking a Data Engineer to build and maintain data pipelines on cloud platforms. You will develop ETL/ELT workflows, bring data together from multiple systems, and help keep reporting and analytics accurate and reliable.

Responsibilities include building pipelines with Azure Data Factory or AWS Glue, writing SQL, scripting in Python, and documenting pipelines for sustainment. Collaboration with analysts and business teams is essential to deliver trusted data.

Qualifications

• Bachelor's degree or equivalent hands-on experience in a related field.
• 2+ years of work with data — ETL, data integration, SQL, or DB work.
• Strong SQL with joins, aggregations, and real-world data queries.
• Experience with at least one ETL tool (Azure Data Factory, SSIS, Informatica, Talend).
• Familiarity with data warehouse concepts and Python scripting.

Responsibilities

• Build and maintain ETL/ELT data pipelines using Azure Data Factory, SSIS, or AWS Glue.
• Pull data from databases, files, and APIs into clean datasets.
• Write SQL to transform, join, and validate data.
• Use Python to automate routine data tasks.
• Monitor pipelines and troubleshoot data landing issues.
• Collaborate with analysts to deliver required data and document pipelines.

Skills

SQL

Python

ETL development

Data integration

Data warehousing concepts

Communication

Education

Bachelor's degree in CS/IT or related field

Tools

Azure Data Factory

SSIS

Informatica

Talend

Job description

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.
• 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.