Data Engineer III: Scalable ETL & Cloud Pipelines

Bow Wave LLC; Arlington (VA); On-site; USD 90,000 - 140,000; Full time

Job summary

Bow Wave LLC in Arlington, VA is seeking a Data Engineer to design, develop, and maintain scalable ETL pipelines, ensuring data accuracy and performance across cloud platforms. You will collaborate with analysts and developers to translate requirements into robust data solutions, applying best practices in data warehousing and automating workflows for reliability and scalability.

You will work with cross-functional teams to optimize data structures, implement migration strategies, and ensure

Qualifications

• Bachelor's degree or equivalent in a related field.
• 2+ years of professional data engineering or ETL experience.
• Strong SQL skills with complex queries and performance tuning.
• Python proficiency for data manipulation and automation.
• Experience with ETL frameworks and orchestration tools.
• Understanding of data warehousing concepts.
• Experience with cloud data platforms (AWS Redshift, BigQuery, Azure SQL).

Responsibilities

• Design, develop, and maintain scalable ETL pipelines.
• Analyze data structures and mappings to optimize workflows.
• Monitor data accuracy and integrity across systems.
• Implement data migration strategies for modernization.
• Collaborate with analysts, data scientists, and developers.
• Monitor pipeline performance and improve reliability and scalability.
• Document data flows and transformation logic for maintainability.

Skills

ETL pipeline development

SQL

Python for data processing

Data modeling

Data warehousing concepts

Cross-functional collaboration

Documentation of processes

Education

Bachelor's degree

Tools

Apache Airflow

Talend

dbt

Git

Job description

Bow Wave LLC in Arlington, VA is seeking a Data Engineer to design, develop, and maintain scalable ETL pipelines, ensuring data accuracy and performance across cloud platforms. You will collaborate with analysts and developers to translate requirements into robust data solutions, applying best practices in data warehousing and automating workflows for reliability and scalability.

You will work with cross-functional teams to optimize data structures, implement migration strategies, and ensure