Azure Data Engineer - Scalable Pipelines & Quality

The Dignify Solutions, Llc; Bellevue (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

The Dignify Solutions, LLC is seeking an experienced Data Engineer to design and implement scalable data pipelines for extraction, transformation, and loading in a Bellevue, WA environment. You will integrate data from diverse sources, ensure data quality, and support analytics and BI initiatives.

Applicants should have a Bachelor’s degree and 8+ years in data engineering, with strong Python/SQL and experience with modern cloud data platforms such as Azure.

Qualifications

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration with stakeholders.
• Experience with data modeling, ETL/ELT, data warehousing, analytics, BI, and governance.

Responsibilities

• Design and develop scalable data pipelines for data extraction, transformation, integration, and loading.
• Integrate data from databases, warehouses, APIs, and external systems while ensuring data integrity and consistency.
• Perform data cleansing, transformation, aggregation, filtering, and enrichment.
• Implement data quality checks and validation processes.
• Optimize pipelines and processing workflows for performance, scalability, and efficiency.
• Monitor data systems, troubleshoot performance issues, and optimize.
• Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions.
• Support data modeling, ETL/ELT, MDM, data warehousing, analytics, BI, and governance initiatives.

Skills

Analytical thinking

Communication

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field

Tools

Python

SQL

C#

Java

Job description

The Dignify Solutions, LLC is seeking an experienced Data Engineer to design and implement scalable data pipelines for extraction, transformation, and loading in a Bellevue, WA environment. You will integrate data from diverse sources, ensure data quality, and support analytics and BI initiatives.

Applicants should have a Bachelor’s degree and 8+ years in data engineering, with strong Python/SQL and experience with modern cloud data platforms such as Azure.