Integrations Data Engineer (LATAM) - 21163

somewhere; United States; Remote; USD 50,000 - 67,000; Full time

Job summary

somewhere is seeking an Integrations Data Engineer to own how customer data enters the platform and how it is modeled. Working as the backend seat of a two-person integration function, you will build new integrations and ETL pipelines from scratch while tackling the most complex pipeline challenges.

You will partner with a customer-facing data engineer to design robust data solutions, optimize PostgreSQL schemas, and ensure data integrity at scale in a remote LATAM environment.

Qualifications

• 3+ years in backend or data engineering.
• Strong Python and Django experience.
• Experience building API integrations and ETL pipelines for financial/data.
• Strong SQL and PostgreSQL data modeling and reconciliation.
• Fluent technical English across distributed teams.

Responsibilities

• Architect and maintain API integrations and ETL pipelines for customer/financial data.
• Design data models in PostgreSQL for integrity and performance at scale.
• Collaborate with customer-facing data engineer to fix bottlenecks and improve reliability.
• Set best practices for data ingestion, pipeline health, and backend processing.

Skills

Python

Django

SQL

PostgreSQL

ETL

APIs

English

Job description

Job title:

IntegrationsData Engineer

Location:

LATAM (Remote)

Type:

Full-Time

Compensation:

$4,500–$6,000 USD

About the company

The company builds the decision intelligence platform for independent wealth management. We are expanding our four-person Success Engineering team to deepen data reliability and scale our integration infrastructure.

Role Overview

You will own how customer data enters the platform and how it is modeled. As the deeper backend seat of a two-person integration function—paired directly with a customer-facing data engineer—you will build newintegrationsand custom ETL pipelines from scratch while taking point on our most complex pipeline challenges.

Key Responsibilities

• Architect, build, and maintain complex APIintegrationsand custom ETL pipelines for customer and financial data.
• Design and optimize data models in PostgreSQL, ensuring data integrity, reconciliation, and high performance at scale.
• Partner with the customer-facing data engineer to resolve backend integration bottlenecks and elevate data infrastructure reliability.
• Establish best practices for data ingestion, pipeline health, and backend data processing.

Must-Haves

• Experience:3+ years in backend or data engineering operating at a strong technical bar.
• Core Tech:Strong hands-on proficiency with Python and Django.
• ETL & APIs:Proven experience building custom APIintegrationsand end-to-end ETL pipelines for financial or customer data.
• Database Mastery:Strong SQL and PostgreSQL depth at volume, including schema design, data modeling, and reconciliation.
• Communication:Fluent technical English (written and spoken) to collaborate effectively across distributed teams.

Nice-to-Haves

• Background in SaaS or Fintech (wealth management domain knowledge is a major plus).
• Domain familiarity with portfolios, holdings, transactions, and corporate actions.
• Hands-on experience working with custodial feeds, CRMs, or market-data provider APIs.
• Prior ownership of large-scale data migrations.
• Exposure to NoSQL, columnar, or time-series databases.
• Experience setting up pipeline monitoring, logging, and automated alerting systems.