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Data Pipeline Engineer

$130k-150k/hr•Full-timeRemote

location_onSouth Westlake Avenue, Westlake South, Westlake, Los Angeles, Los Angeles County, California, 90006, United States

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Job Description

About the Role

Our client is seeking a **Data Pipeline Engineer to hire a Data Pipeline Engineer to own and enhance the core data infrastructure that powers their product ecosystem. This role is highly impactful, a position that is highly impactful for the organization. You will maintain ingestion pipelines, troubleshoot complex integration issues, optimize SQL workflows, and build reliable connections between internal systems and key third-party SaaS platforms.

This position is ideal for a data engineer who loves solving messy data problems, improving reliability, and building clean, scalable data models. You’ll work closely with product leadership, engineering, and external tools to ensure the data foundation is robust and ready for high-volume growth.

Work location

Work model: Remote

South Westlake Avenue, Westlake South, Westlake, Los Angeles, Los Angeles County, California, 90006, United States

Los Angeles, California

Open in Google Maps(34.05977, -118.27315)

Key Responsibilities

  • check_circleMaintain and improve data ingestion pipelines using Hotglue and Heroku
  • check_circleTroubleshoot schema mismatches, API limits, and connection issues
  • check_circleManage staging datasets including anonymization
  • check_circleSupport DevOps tasks including CI/CD workflows
  • check_circleBuild and optimize SQL-based ETL/ELT workflows in PostgreSQL
  • check_circleDefine and implement core customer-facing metrics
  • check_circleEnsure reliability and scalability across multi-tenant
  • check_circleDevelop third-party SaaS integrations like HubSpot

Requirements

  • verified3–6+ years of experience in data engineering, integrations, or ETL-focused roles
  • verifiedDeep SQL and PostgreSQL expertise
  • verifiedExperience with ETL tools such as Hotglue, dbt, Airflow, Fivetran
  • verifiedStrong understanding of REST APIs, OAuth authentication, rate limiting, and webhook-driven integrations
  • verifiedFamiliarity with Git, GitHub Actions, and modern CI/CD workflows
  • verifiedExperience working with SaaS data models and multi-tenant architectures

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Frequently asked questions about Data Pipeline Engineer at UpRecruit

What does a Data Pipeline Engineer at UpRecruit do?expand_more
A Data Pipeline Engineer at UpRecruit is responsible for the following: Maintain and improve data ingestion pipelines using Hotglue and Heroku; Troubleshoot schema mismatches, API limits, and connection issues; Manage staging datasets including anonymization; and Support DevOps tasks including CI/CD workflows.
What are the requirements for this Data Pipeline Engineer role?expand_more
UpRecruit is looking for candidates who meet the following requirements: 3–6+ years of experience in data engineering, integrations, or ETL-focused roles; Deep SQL and PostgreSQL expertise; Experience with ETL tools such as Hotglue, dbt, Airflow, Fivetran; Strong understanding of REST APIs, OAuth authentication, rate limiting, and webhook-driven integrations; Familiarity with Git, GitHub Actions, and modern CI/CD workflows; and Experience working with SaaS data models and multi-tenant architectures.
What is the salary range for Data Pipeline Engineer at UpRecruit?expand_more
The advertised salary range for Data Pipeline Engineer at UpRecruit is $130k-150k/hr.
Where is the Data Pipeline Engineer role at UpRecruit located?expand_more
Data Pipeline Engineer at UpRecruit is based in South Westlake Avenue, Westlake South, Westlake, Los Angeles, Los Angeles County, California, 90006, United States. This is a remote role.
Is this Data Pipeline Engineer job remote, hybrid, or on-site?expand_more
UpRecruit has listed this Data Pipeline Engineer role as remote.
How much experience is required for this Data Pipeline Engineer role?expand_more
Data Pipeline Engineer at UpRecruit typically requires 3+ years of relevant experience at the senior level.
What skills do you need for the Data Pipeline Engineer role at UpRecruit?expand_more
Key skills for Data Pipeline Engineer at UpRecruit include data engineering; sql; postgresql; etl; elt; hotglue; heroku; and dbt.
What category does the Data Pipeline Engineer role belong to?expand_more
Data Pipeline Engineer at UpRecruit is part of the Information Technology job category on Recrutus.