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Lifted, an Upwork Company

Data Engineer

RemoteLATAM· UTC-6…UTC-5
Published
Role
Data Engineering
Employment
Contract
Salary not disclosed
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Open to Anywhere in LATAM · UTC-6…UTC-5. Set where you work from to check your eligibility.

No BS summary

Data Engineer in LATAM for a full-time remote contract through March 31, 2027. Needs strong cloud data engineering with SQL, Python, AWS, Snowflake, Terraform, REST APIs, CI/CD, data quality, and production pipeline ownership. Must work a U.S.-based EST or CST schedule.

Core skills

SQLPythonSnowflake

Required skills

ELTETLdbt/Airflow/DagsterAWSAWS GlueAmazon AthenaAmazon AuroraCI/CDTerraformREST APIsGitGCPCRM data environmentsJira

Optional skills

ScalaFinOps Certified PractitionerFinOps Certified EngineerGCPDatadogSalesforce SOQLSalesforce Data CloudSalesforce data models

What you'll do

  • Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.
  • Build scalable datasets that support cloud cost visibility, attribution, usage analysis, and performance insights.
  • Design and implement data models and ingestion frameworks for large-scale telemetry and usage data.
  • Develop automation and tooling that enable cost-aware decision-making across Product, Engineering, and Finance teams.
  • Optimize data pipelines and systems for performance, reliability, and cost efficiency.
  • Perform query tuning and improve storage and compute strategies.
  • Build and maintain integrations with REST APIs and other data sources.
  • Implement and support CI/CD processes and Infrastructure as Code.
  • Ensure data quality, validation, auditability, and consistency across end-to-end data workflows.
  • Monitor, troubleshoot, and resolve production pipeline failures, data inconsistencies, and performance issues.
  • Partner with Engineering and Finance stakeholders on cloud cost optimization and usage-based insights.
  • Build and maintain production data pipelines across Snowflake, cloud data platforms, and Salesforce-related data environments.
  • Develop and optimize ETL/ELT workflows for transforming and integrating business data.
  • Model and maintain Go-to-Market data assets, including parent-company relationships, advertiser identity, lead enrichment, and revenue data.
  • Write and optimize SQL queries for reporting, analytics, and operational use cases.
  • Use Python to transform, validate, and automate data-processing workflows.
  • Support data quality, validation, schema management, and troubleshooting across data marts.
  • Identify and resolve data inconsistencies across source systems and downstream datasets.
  • Collaborate with engineers and product managers on technical deliverables.
  • Participate in Jira-based planning, tracking, and delivery workflows.

What they require

  • Strong data engineering foundation with proven experience building and maintaining end-to-end ELT or ETL pipelines in cloud environments.
  • Strong SQL and Python skills.
  • Experience with data workflow and orchestration tools such as dbt, Airflow, or Dagster.
  • Hands-on experience with the AWS data ecosystem, including AWS Glue, Amazon Athena, and Amazon Aurora.
  • Experience with Snowflake.
  • Strong data modeling experience.
  • Experience processing data at scale.
  • Experience with CI/CD and version control.
  • Hands-on Infrastructure as Code experience using Terraform.
  • Experience building or maintaining REST API integrations.
  • Demonstrated ability to optimize data pipelines for performance and cost.
  • Strong analytical and troubleshooting skills.
  • Experience with data validation, auditing, and production pipeline support.
  • Enterprise experience strongly preferred.
  • Preferred: FinOps Certified Practitioner or FinOps Certified Engineer certification.
  • Preferred: Experience with cloud cost optimization, tagging strategies, or cost-monitoring systems.
  • Preferred: Background in data platform engineering or shared infrastructure engineering.
  • Candidates must be located in LATAM.
  • Candidates must be available to work a U.S.-based EST or CST schedule.
  • Contract expected to continue through March 31, 2027.
  • Strong hands-on SQL experience, including complex queries and query optimization.
  • Strong production experience with Snowflake.
  • Strong Python scripting experience for data transformation and processing.
  • Experience developing and maintaining ETL or ELT data pipelines.
  • Experience with dbt, Airflow, or a comparable transformation or orchestration platform.
  • Hands-on experience with a GCP or AWS cloud data platform.
  • Familiarity with CRM data structures, including leads, contacts, accounts, and opportunities.
  • Experience supporting data quality, validation, or schema-management activities.
  • Ability to collaborate effectively with engineering and product stakeholders.
  • Preferred: Enterprise experience strongly preferred.
  • Preferred: Experience supporting Go-to-Market or revenue analytics.
  • Preferred: Experience with lead enrichment, identity resolution, campaign segmentation, or sales operations data.
  • Applicants must be located in LATAM.
  • Full-time commitment of 40 hours per week.
  • Required working hours are 9:00 a.m. to 5:00 p.m. U.S. Central Time.
  • Contract end date is March 31, 2027.

Lifted, an Upwork Company

One of Upwork's largest clients, an American multinational technology company, is in search of an M365 Administrator.

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