Remote Senior Data Engineer (20h/wk) — SQL, PySpark, Databricks

Bitechnologies Llc; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Bitechnologies Llc is seeking an experienced Senior Data Engineer with 8+ years of data engineering to join the team on a part-time, remote basis. This role requires 20 hours per week and welcomes offshore candidates from India and other countries.

The ideal candidate will design, build, and optimize large-scale data pipelines using SQL, PySpark, Databricks, and Azure Data Factory, ensuring data quality, performance, and reliability across cloud-based architectures.

Qualifications

• 8+ years of experience in Data Engineering or related roles.
• Advanced proficiency in SQL, including complex queries, stored procedures, and performance optimization.
• Strong hands-on experience with PySpark and Azure Databricks for large-scale data processing.
• Extensive experience with Azure Data Factory (ADF) for building and maintaining ETL/ELT pipelines.
• Solid understanding of data warehousing, data modeling, and cloud-based data architectures.
• Experience troubleshooting pipeline failures, optimizing performance, and ensuring data integrity.
• Strong analytical, problem-solving skills.
• Ability to work independently.

Responsibilities

• Design, develop, and optimize scalable data pipelines.
• Implement ETL/ELT processes and troubleshoot data integration issues.
• Ensure data quality and performance across cloud-based architectures.

Skills

SQL

PySpark

Azure Databricks

Azure Data Factory

Job description

Bitechnologies Llc is seeking an experienced Senior Data Engineer with 8+ years of data engineering to join the team on a part-time, remote basis. This role requires 20 hours per week and welcomes offshore candidates from India and other countries.

The ideal candidate will design, build, and optimize large-scale data pipelines using SQL, PySpark, Databricks, and Azure Data Factory, ensuring data quality, performance, and reliability across cloud-based architectures.