1151 - Data Engineer

GoFasti; United States; Remote; USD 22,000 - 28,000; Full time

Benefits offered by this job

Fully remote

Payroll processing through client

Job summary

GoFasti is seeking a Data Engineer for a remote, full-time contract role. You will own the complete lifecycle of data workflows for large datasets, collaborating with client teams and non-technical stakeholders.

The role emphasizes end-to-end pipeline work, documentation, and proactive data quality checks. You will work with cloud storage, SFTP, and data warehouses, delivering reliable ETL/ELT pipelines and robust data models while maintaining strong communication with partnerships and Success

Qualifications

• 2+ years of experience as a Data Engineer working on production pipelines.
• Strong Python skills for data processing, automation, and integrations.
• Strong SQL skills including complex transformations, query optimization, and diagnosing data discrepancies.
• Practical understanding of ETL and ELT patterns, workflow orchestration, and pipeline recovery techniques.
• Experience with cloud object storage and file-based data transfers, including SFTP.
• Ability to trace data from source through transformations to downstream consumers and explain both behavior and business meaning.

Responsibilities

• Own data workflows end to end, covering ingestion, storage, orchestration, transformation, validation, and delivery.
• Build and maintain reliable inbound and outbound data transfers using cloud storage, secure file transfer protocols, and other integration methods.
• Develop and operate ETL and ELT pipelines using workflow orchestration and event-driven processing patterns.
• Manage data across cloud storage, data warehouses, and analytical databases, designing and optimizing models, schemas, and queries.
• Implement data quality checks, automated tests, monitoring, and alerts so datasets are accurate, complete, and delivered on time.
• Investigate and resolve production issues across pipelines and databases, performing root-cause analysis and shipping durable fixes.
• Document data flows, dataset definitions, architectural decisions, and operational recovery procedures.
• Partner with Customer Success, Operations, and Engineering to clarify requirements, investigate discrepancies, and explain data behavior.

Skills

Python scripting

SQL querying

Data processing

Automation

Integrations

Cloud data thinking

Tools

Airflow

AWS

PostgreSQL

Redshift

ClickHouse

SFTP

Job description

Role overview

This is a remote, full-time contract Data Engineer position based in Latin America, embedded with a client team through a Talent-as-a-Service arrangement. The engineer will own the full lifecycle of data workflows for custom datasets that support large customers and business partnerships. It is a hands-on role suited to someone who enjoys end-to-end pipeline work, close collaboration with non-technical stakeholders, and clear technical writing.

Responsibilities

• Own data workflows end to end, covering ingestion, storage, orchestration, transformation, validation, and delivery.
• Build and maintain reliable inbound and outbound data transfers using cloud storage, secure file transfer protocols, and other integration methods.
• Develop and operate ETL and ELT pipelines using workflow orchestration and event-driven processing patterns.
• Manage data across cloud storage, data warehouses, and analytical databases, designing and optimizing models, schemas, and queries.
• Implement data quality checks, automated tests, monitoring, and alerts so datasets are accurate, complete, and delivered on time.
• Investigate and resolve production issues across pipelines and databases, performing root-cause analysis and shipping durable fixes.
• Document data flows, dataset definitions, architectural decisions, and operational recovery procedures.
• Partner with Customer Success, Operations, and Engineering to clarify requirements, investigate discrepancies, and explain data behavior.

Requirements

• 2+ years of experience as a Data Engineer working on production pipelines.
• Strong Python skills for data processing, automation, and integrations.
• Strong SQL skills including complex transformations, query optimization, and diagnosing data discrepancies.
• Practical understanding of ETL and ELT patterns, workflow orchestration, and pipeline recovery techniques.
• Experience with cloud object storage and file-based data transfers, including SFTP.
• Ability to trace data from source through transformations to downstream consumers and explain both behavior and business meaning.

Nice to have

• Experience with AWS, particularly Amazon S3 and AWS Lambda.
• Experience with Apache Airflow or a comparable orchestration platform.
• Experience with PostgreSQL, Amazon Redshift, or ClickHouse.
• Experience managing custom datasets or integrations for enterprise customers or partnerships.
• Familiarity with marketing analytics or first-party customer data.

Benefits and work setup

• Fully remote work, allocated to a client team based in Latin America.
• Full-time contract engagement through a payroll platform, with a monthly compensation range of approximately USD $2,000 to $2,500 depending on seniority and skillset.
• Hiring process includes a screening interview with the staffing team, profile review by the client, and a client interview before onboarding.