Senior Data Engineer - PostgreSQL & Azure Data Factory (Remote)

VettedBench; United States; Remote; USD 2,300 - 18,000; Full time

Benefits offered by this job

Remote work

Job summary

VettedBench is seeking an experienced Senior Data Engineer with 8–9 years of PostgreSQL, ETL pipelines, and data processing expertise. The ideal candidate will design and manage scalable batch and event‑driven data solutions and lead a small team in a remote role.

Responsibilities include building and tuning data pipelines, PostgreSQL performance optimization, data quality assurance, and collaborating with cross‑functional teams to deliver end‑to‑end data platforms.

Qualifications

• 8–9 years of experience in data engineering.
• Strong PostgreSQL and ETL development expertise.
• Mandatory Azure Data Factory experience.
• Experience leading a team.
• Excellent problem‑solving and communication skills.

Responsibilities

• Design, develop, and optimize data pipelines.
• Tune PostgreSQL performance and data models.
• Mentor engineers and lead technical initiatives.
• Collaborate with cross‑functional teams to deliver end‑to‑end data solutions.
• Ensure data quality, consistency, and reliability across pipelines.

Skills

PostgreSQL

ETL pipelines

Data processing

Azure Data Factory

Leadership

Communication

Problem solving

Tools

Azure Data Factory

SQL

Job description

We are looking for an experienced Senior Data Engineer with 8–9 years of robust experience in PostgreSQL, ETL data pipelines, and data processing. The ideal candidate will have strong hands‑on expertise in building and managing scalable data solutions (both batch and event‑driven architectures) and mandatory experience with Azure Data Factory (ADF). If you have prior experience leading a team and are looking for a high‑impact remote role, we want to hear from you! Key Responsibilities Design, develop, and optimize complex data pipelines using PostgreSQL and ETL processes. Build, manage, and maintain scalable data integration and transformation workflows. Develop and optimize ETL workflows utilizing Azure Data Factory (ADF). Work extensively on both batch and event‑driven data processing architectures. Perform PostgreSQL database performance tuning, query optimization, and data modeling. Ensure data quality, consistency, reliability, and pipeline performance across the board. Act as a Technical Lead—mentoring team members, driving technical initiatives, and collaborating with cross‑functional teams to deliver end‑to‑end data solutions. Required Skills & Qualifications Experience: 8–9 years of overall experience in Data Engineering. Core Tech Stack: Strong hands‑on expertise in PostgreSQL and extensive experience in ETL development/data pipeline engineering. Cloud/ETL Tool: Strong hands‑on experience with Azure Data Factory (ADF) is Mandatory. Architecture: Hands‑on experience in batch and event‑driven data processing and managing scalable data workflows. Leadership: Prior team leadership or technical lead experience is Mandatory. Optimization: Strong database optimization, performance tuning, and troubleshooting skills. Excellent problem‑solving and communication skills. Candidate Preferences Immediate joiners are highly preferred. Candidates displaying a strong combination of hands‑on development and team‑leading experience.

Pay: ₹19,000.00 - ₹150,000.00 per month

Work Location: Remote