1174 - Data Engineer

GoFasti; United States; Remote; USD 33,000 - 45,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Job summary

GoFasti is seeking a mid-to-senior data engineer to own the production data pipelines from design to operation. You will onboard data from diverse sources (APIs, files, shared platforms) and transform it into analytics-ready datasets with clear schemas, supporting applications, analytics, and future AI use cases.

You will ensure pipeline reliability with data quality checks, monitoring, and safe reprocessing, while collaborating with product teams to meet technical criteria.

Qualifications

• Mid-to-senior data engineering experience with autonomous ownership of production pipelines from design through operation.
• Experience building ingestion from APIs, files, or shared data sources with a workflow orchestrator (Airflow, Dagster, Step Functions).
• Production experience with a cloud data warehouse; Snowflake is preferred.
• Strong SQL and production programming in Python or Node.js/TypeScript (Python preferred).
• Experience with AWS or another enterprise cloud platform.
• Daily use of agentic AI coding tools and scaling AI workflows across a team and into CI/CD.

Responsibilities

• Define and maintain ingestion pipelines for application and analytics workflows.
• Transform raw data into layered, analytics-ready tables with clear schemas.
• Onboard data from APIs, files, and shared data sources and connect to existing services.
• Improve pipeline reliability with data quality checks, monitoring, safe reprocessing, and handling schema changes.
• Document and test the data foundation to support current products and future AI applications.
• Collaborate with product teams to clarify and implement technical criteria.

Skills

Data engineering

SQL

Python

Airflow / Dagster / Step Functions

AWS

Communication

Tools

dbt

Terraform

Semantic layers

Job description

Role overview

Own the design and operation of production data pipelines that support an application, analytics, and future AI use cases. The work spans onboarding data from varied sources, shaping it into reliable, well-modeled datasets, and coordinating with product teams on technical needs.

Responsibilities

• Define and maintain ingestion pipelines that serve application and analytics workflows.
• Transform raw data into layered, analytics-ready tables with clear schemas.
• Onboard data from sources such as APIs, files, and shared data platforms, and connect it to existing services.
• Improve pipeline reliability through data quality checks, monitoring, safe reprocessing, and handling schema changes.
• Document and test the data foundation so it can support current products and future AI applications.
• Work with product teams to clarify and carry out technical criteria.

Requirements

• Mid-to-senior data engineering experience, including autonomous ownership of production pipelines from design through operation.
• Experience building ingestion from APIs, files, or shared data sources with a workflow orchestrator such as Airflow, Dagster, or Step Functions.
• Production experience with a cloud data warehouse; Snowflake is preferred.
• Strong SQL and production programming experience in Python or Node.js/TypeScript; Python is preferred.
• Experience with AWS or another enterprise cloud platform.
• Daily use of agentic AI coding tools, plus experience scaling shared AI workflows across a team and into development and CI/CD.
• Strong English and communication skills.

Nice to have

• Experience with dbt, infrastructure as code such as Terraform, or preparing data for AI/LLM use through semantic layers, metadata, or retrieval-ready datasets.
• Familiarity with energy, utilities, or sustainability data.

Benefits and work setup

• Remote, full-time contract for candidates based in Latin America, with a 40-hour workweek.
• Listed monthly compensation is USD $3,000–$4,000, depending on experience and skills.