1151 - Data Engineer

Location: Remote

Department: Engineering, Industry & Production

We need an English-proficient Data Engineer, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Own data workflows end to end, including 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 maintain ETL and ELT pipelines using workflow orchestration and event-driven processing.

• Manage data across cloud storage, data warehouses, and analytical databases.

• Design and optimize data models, schemas, queries, and transformations for reliable, efficient processing.

• Own custom datasets supporting large clients and company partnerships, maintaining a clear understanding of their sources, business definitions, lineage, and downstream dependencies.

• Partner with Customer Success, Operations, and Engineering to clarify requirements, investigate discrepancies, and communicate technical constraints and data behavior.

• Implement and maintain data quality checks, automated tests, monitoring, and alerts to ensure datasets are accurate, complete, and delivered on time.

• Troubleshoot production issues across transfers, pipelines, and databases; identify root causes and implement lasting fixes.

• Maintain documentation covering data flows, dataset definitions, architectural decisions, and operational recovery procedures.

• Evaluate technical approaches through research and prototypes, explaining tradeoffs in reliability, performance, cost, and maintainability.

• Apply appropriate access controls and secure data handling practices throughout the data lifecycle.

Requirements:

• 2+ years of experience as a Data Engineer.

• Experience building, maintaining, and troubleshooting production data 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.

• Experience with cloud object storage and file-based data transfers, including familiarity with SFTP.

• Experience designing data models and working with relational databases, including schemas, indexes, and query performance.

• Ability to trace data from its source through transformations to downstream outputs and explain both its technical behavior and business meaning.

• Ability to independently investigate problems, evaluate solutions, and support technical recommendations with evidence.

• Clear communication skills and experience collaborating with technical and nontechnical teams.

It's a plus:

• 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 supporting enterprise customers or business partnerships.

• Familiarity with marketing analytics or first-party customer data.

Compensation:

• The salary range offered for this position varies from (USD) $2,000 - $2,500 per month, depending on seniority and skillset.

• This position is for a full time contract, through a payroll platform.

• The talent will work remotely allocated at our client.

Here are the steps for this process:

Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.