Data Engineer (Mid-Level): Cloud ETL, Snowflake & BI

Zyxware Technologies; Washington (District of Columbia); On-site; USD 80,000 - 120,000; Full time

Job summary

A tech services company is seeking a Mid-Level Data Engineer to design and manage data pipelines, ensuring effective data governance. Responsibilities include developing ETL workflows leveraging AWS and Azure, optimizing performance, and enabling reporting with tools such as Power BI and Tableau. The ideal candidate will have 3-5 years of experience, a relevant degree, and strong skills in SQL. Join us to drive data analytics initiatives and collaborate with stakeholders on data solutions.

Qualifications

• 3–5 years of experience in data engineering or data management.
• Hands-on experience with AWS and Azure cloud platforms.
• Experience working with Snowflake and Oracle for data warehousing.

Responsibilities

• Design and implement data pipelines to support analytics.
• Develop ETL/ELT workflows using AWS Glue and Azure Data Factory.
• Optimize data pipelines with Python, PySpark, and SQL.

Skills

Data engineering

SQL proficiency

Problem-solving

ETL tools

Cloud platforms expertise

Education

Bachelor’s degree in computer science or engineering

Tools

AWS

Azure

Snowflake

Power BI

Tableau

Job description

A tech services company is seeking a Mid-Level Data Engineer to design and manage data pipelines, ensuring effective data governance. Responsibilities include developing ETL workflows leveraging AWS and Azure, optimizing performance, and enabling reporting with tools such as Power BI and Tableau. The ideal candidate will have 3-5 years of experience, a relevant degree, and strong skills in SQL. Join us to drive data analytics initiatives and collaborate with stakeholders on data solutions.