Cloud Data Engineer — ETL Pipelines, SQL & Python (Hybrid)

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

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.