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GoFasti

Data Engineer

GoFasti

. Own data workflows end to end, including ingestion, storage, orchestration, transformation, validation, and delivery .

Posted 9/24/2026full-timeRemoteMid-LevelSenior💰 $2,000 - $2,500 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data workflows, including ETL and ELT pipelines, while ensuring data quality and integrity. Proficient in cloud storage solutions and capable of collaborating effectively with cross-functional teams to address technical challenges.

Highest-signal resume keywords
Python ProgrammingSQL Query OptimizationETL And ELT Pipeline DevelopmentAWS (Amazon S3, AWS Lambda)Data Model Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline TroubleshootingWorkflow OrchestrationData TransformationData Quality ChecksRelational Database ManagementData IngestionData Storage ManagementData ValidationData DeliveryData Documentation
Soft Skills
Clear CommunicationProblem-SolvingCollaboration
Tools & Technologies
Apache AirflowPostgreSQLAmazon RedshiftClickHouseSFTP
Industry Keywords
Cloud StorageData WorkflowsData QualityMarketing AnalyticsFirst-Party Customer Data

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSCloudETLPostgresPythonSQL

About the role

Key responsibilities & impact
  • Own data workflows end to end, including ingestion, storage, orchestration, transformation, validation, and delivery
  • Build and maintain 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
  • Own custom datasets supporting large clients and company partnerships, including 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
  • 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 access controls and secure data handling practices throughout the data lifecycle

Requirements

What you’ll need
  • English proficiency
  • 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 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
  • Experience with AWS, particularly Amazon S3 and AWS Lambda (plus)
  • Experience with Apache Airflow or a comparable orchestration platform (plus)
  • Experience with PostgreSQL, Amazon Redshift, or ClickHouse (plus)
  • Experience managing custom datasets or integrations supporting enterprise customers or business partnerships (plus)
  • Familiarity with marketing analytics or first-party customer data (plus)

Benefits

Comp & perks
  • Remote work
  • Full-time contract through a payroll platform