Remote Data Pipeline Engineer — Scale Data Infrastructure

UpRecruit; Los Angeles (CA); Remote; USD 130,000 - 150,000; Full time

Job summary

A data solutions firm is seeking a Data Pipeline Engineer to enhance core data infrastructure while handling data ingestion and integration issues. You will maintain and optimize SQL-based ETL workflows, develop reliable connections with third-party SaaS platforms, and ensure data quality and scalability. The ideal candidate will have 3–6+ years of relevant experience, strong SQL and PostgreSQL skills, and familiarity with ETL tools. This full-time position is remote, offering competitive compensation and growth potential.

Qualifications

• 3–6+ years of experience in data engineering or ETL roles.
• Deep SQL and PostgreSQL expertise including schema design.
• Strong understanding of REST APIs, authentication, and integrations.

Responsibilities

• Maintain and improve data ingestion pipelines.
• Troubleshoot schema mismatches and API limits.
• Build and optimize ETL workflows in PostgreSQL.

Skills

Data engineering

SQL

PostgreSQL

REST APIs

Git/GitHub Actions

ETL tools

Tools

Hotglue

dbt

Airflow

Fivetran

Job description

A data solutions firm is seeking a Data Pipeline Engineer to enhance core data infrastructure while handling data ingestion and integration issues. You will maintain and optimize SQL-based ETL workflows, develop reliable connections with third-party SaaS platforms, and ensure data quality and scalability. The ideal candidate will have 3–6+ years of relevant experience, strong SQL and PostgreSQL skills, and familiarity with ETL tools. This full-time position is remote, offering competitive compensation and growth potential.