Senior Data Engineer

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

Role Description

We are seeking an experienced Senior Data Engineer with 8+ years of experience to join our team on a part-time, remote basis. This position requires 4 hours per day, 5 days per week (20 hours per week). We welcome qualified offshore candidates from India and other countries.

The ideal candidate will have strong hands‑on experience in SQL, PySpark, Databricks, and Azure Data Factory (ADF). Responsibilities include designing, developing, and optimizing scalable data pipelines, implementing ETL/ELT processes, troubleshooting data integration issues, and ensuring data quality and performance.

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.

Job Details

• Position: Senior Data Engineer
• Job Type: Part-Time (20 hours/week)
• Location: Remote / Offshore
• Experience: 8+ years
• Preferred Skills: SQL, PySpark, Databricks, Azure Data Factory

We are looking for a reliable, self‑motivated professional who can deliver high‑quality solutions with minimal supervision.