Data Engineer: Build Scalable Data Pipelines

Silversmith Capital Partners; United States; On-site; USD 85,000 - 110,000; Full time

Job summary

MeridianLink is seeking a Data Engineer to design and build scalable data pipeline architecture. This role collaborates closely with data architects and analysts to ensure reliable data delivery and support business initiatives.

The successful candidate will have strong experience with Python, SQL, and tools like Apache Spark and Azure Databricks. This opportunity allows the individual to enhance a modern data platform while leveraging best practices in software engineering.

Qualifications

• 2–4 years of professional experience in Data Engineering or related roles.
• Strong hands-on experience with Python and SQL for data pipelines.
• Experience with Apache Spark and Azure Databricks.

Responsibilities

• Design and maintain scalable data pipelines and data products.
• Collaborate with stakeholders to deliver scalable data solutions.
• Ensure data quality and performance through validation and monitoring.

Skills

Python

SQL

Apache Spark

Data Engineering

ETL/ELT

Tools

Azure Databricks

GitLab

Sisense

Job description

MeridianLink is seeking a Data Engineer to design and build scalable data pipeline architecture. This role collaborates closely with data architects and analysts to ensure reliable data delivery and support business initiatives.

The successful candidate will have strong experience with Python, SQL, and tools like Apache Spark and Azure Databricks. This opportunity allows the individual to enhance a modern data platform while leveraging best practices in software engineering.