Data Engineer

GoFasti

. Work closely with product teams to help define and execute technical criteria .

Posted 10/20/2026full-timeRemoteMid-LevelSenior💰 $3,000 - $4,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining production data ingestion pipelines, utilizing cloud data warehouses and workflow orchestrators. Proficient in SQL and Python, with a focus on data quality, automation, and preparing data for AI applications.

Highest-signal resume keywords

Data Pipeline DesignSQL ProficiencyCloud Data Warehouse ExperienceWorkflow Orchestrator ExperienceData Quality Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionSQLPythonNode.jsTypeScriptAirflowSnowflakeTerraformCI/CDData Preparation for AI

Soft Skills

Strong Communication SkillsAutonomous Work

Tools & Technologies

DatabricksDelta SharingDagsterStep FunctionsAgentic AI Coding Tools

Industry Keywords

Energy DataUtilities DataSustainability Data

Tech Stack

Tools & technologies

AirflowAWSCloudJavaScriptNode.jsPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Work closely with product teams to help define and execute technical criteria
Architect and maintain robust data ingestion pipelines feeding the application and analytics
Design well-modeled, layered tables with clean schemas that transform raw data into analytics-ready data
Onboard client data from varied sources, including Databricks via Delta Sharing, and integrate it with existing services and workflows
Make pipelines reliable and automated through data quality tests, monitoring, safe reprocessing, and schema change handling
Build a documented, well-tested data foundation for the application, analytics, and future AI use cases

Requirements

What you’ll need

Mid-to-senior data engineer with end-to-end ownership of production data pipeline design, working as an autonomous individual contributor
Experience designing and building production ingestion pipelines from APIs, files, and shared-data sources
Experience using a workflow orchestrator such as Airflow, Dagster, or Step Functions
Production experience with a cloud data warehouse; Snowflake preferred
Strong SQL
Production experience in Python preferred, or Node.js/TypeScript
AWS or another enterprise cloud platform
Daily use of agentic AI coding tools
Experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
Strong English and communication skills
dbt is a plus
Experience preparing data for AI/LLM use is a plus
Infrastructure as code, such as Terraform, is a plus
Exposure to energy, utilities, or sustainability data is a plus

Benefits

Comp & perks

Remote work
40 hours per week
Full-time contract through a payroll platform