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#126292 - Senior FinOps Data Engineer
Asunción, Asunción, Paraguay
Live, first seen by us 35 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
Before you apply
- Eligibility
Candidates must be located in LATAM. — eligibility source
Candidates must be located in LATAM.
Read the full posting
What you’ll work on
Full postingDesign, build, and maintain ELT and ETL pipelines in cloud environments
Build cost attribution datasets and pipelines for cloud cost optimization and committed-use discount modeling
Ingest and reconcile large-scale billing, usage, telemetry, and performance data
Implement data auditing, validation, and quality controls
Troubleshoot production pipeline failures and data inconsistencies
From the employer’s posting
Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.
Build and maintain pipelines and automation that provide cloud cost transparency, identify optimization opportunities, and support committed-use discount modeling and management.
Ingest and reconcile large-scale billing, usage, telemetry, and performance data from cloud platforms, APIs, and other sources.
Implement comprehensive data auditing, validation, reconciliation, and end-to-end quality controls.
Troubleshoot production pipeline failures, data inconsistencies, and performance issues.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with SQL, Python, Spark, and Scala.
- Experience working with FinOps teams or performing cloud cost-optimization duties.
- Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
- Experience working with Datadog API endpoints.
- Hands-on experience with GCP and Snowflake.
- Experience architecting and improving the long-term maintainability of end-to-end ELT and ETL data pipelines.
Qualification wording
Hands-on experience with SQL, Python, Spark, and Scala.
Experience working with FinOps teams or performing cloud cost-optimization duties.
Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
Experience working with Datadog API endpoints.
Hands-on experience with GCP and Snowflake.
Experience architecting and improving the long-term maintainability of end-to-end ELT and ETL data pipelines.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 202635 days ago
- Recorded sightings
- 172
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Lifted, an Upwork Company™ is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- AWS
- Datadog
- dbt
- GCP
- Snowflake
- Spark
- Terraform
- Airflow
- Dagster
Where the posting names them
Must-Have Skills - Hands-on experience with SQL, Python, Spark, and Scala. - Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
- SQL - Python - Spark
- Spark - Scala - AWS Glue
Required Tools and Platforms - SQL - Python
- Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster. - Hands-on AWS experience, including AWS Glue, Amazon Aurora, and Amazon Athena. AWS experience is required. - Hands-on experience with GCP and Snowflake.
- Scala - AWS Glue - Amazon Aurora
- FinOps Certified Practitioner or FinOps Certified Engineer certification. - Experience working with Datadog API endpoints. - Experience with Go.
- Hands-on experience with SQL, Python, Spark, and Scala. - Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster. - Hands-on AWS experience, including AWS Glue, Amazon Aurora, and Amazon Athena. AWS experience is required.
- Snowflake - dbt, Airflow, and/or Dagster - Terraform
- Amazon Athena - GCP - Snowflake
- Hands-on AWS experience, including AWS Glue, Amazon Aurora, and Amazon Athena. AWS experience is required. - Hands-on experience with GCP and Snowflake. - Experience architecting and improving the long-term maintainability of end-to-end ELT and ETL data pipelines.
- GCP - Snowflake - dbt, Airflow, and/or Dagster
- Python - Spark - Scala
- Build and maintain REST API integrations and infrastructure automation. - Support CI/CD development processes and Infrastructure as Code using Terraform. - Troubleshoot production pipeline failures, data inconsistencies, and performance issues.
- Exposure to CI/CD development processes and version control. - Infrastructure as Code experience using Terraform. - REST API programming and data-integration experience.
- dbt, Airflow, and/or Dagster - Terraform - CI/CD tooling
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Lifted, an Upwork Company™ posted this job before?
Yes. We’ve followed 2 other #126292 - Senior FinOps Data Engineer jobs there since September 2026. All 2 are still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
We are seeking a Senior FinOps Data Engineer to design, build, and maintain the data ingestion, automation, and analytical platforms that support cloud cost transparency, attribution, and optimization.
This role will work with large-scale billing, usage, telemetry, performance, and financial data. The work will enable Product, Engineering, Analytics, and Finance stakeholders to make faster, data-driven decisions and trust the underlying data. The ideal candidate is a current, hands-on data engineer who can build production data pipelines and cost-focused data products, improve their long-term maintainability, and clearly explain their technical decisions to both technical and non-technical audiences.
Key Responsibilities
- Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.
- Develop tooling and datasets for telemetry-driven cost attribution and performance-informed financial modeling.
- Build and maintain pipelines and automation that provide cloud cost transparency, identify optimization opportunities, and support committed-use discount modeling and management.
- Ingest and reconcile large-scale billing, usage, telemetry, and performance data from cloud platforms, APIs, and other sources.
- Design and mature data models, schemas, and ingestion frameworks that support reliable downstream analysis and reporting.
- Improve the maintainability, scalability, observability, and reliability of production data workflows.
- Implement comprehensive data auditing, validation, reconciliation, and end-to-end quality controls.
- Build and maintain REST API integrations and infrastructure automation.
- Support CI/CD development processes and Infrastructure as Code using Terraform.
- Troubleshoot production pipeline failures, data inconsistencies, and performance issues.
- Partner with Product, Engineering, Analytics, and Finance stakeholders to translate technical data into clear, actionable insights.
Qualifications
Must-Have Skills
- Hands-on experience with SQL, Python, Spark, and Scala.
- Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
- Hands-on AWS experience, including AWS Glue, Amazon Aurora, and Amazon Athena. AWS experience is required.
- Hands-on experience with GCP and Snowflake.
- Experience architecting and improving the long-term maintainability of end-to-end ELT and ETL data pipelines.
- Strong data modeling experience, including schema design and schema maturity.
- Experience processing, validating, and auditing data at scale.
- Exposure to CI/CD development processes and version control.
- Infrastructure as Code experience using Terraform.
- REST API programming and data-integration experience.
- Strong attention to detail, analytical ability, and production troubleshooting skills.
- Ability to explain technical concepts and personally delivered work clearly to non-technical audiences.
Nice-to-Have Skills
- Experience working with FinOps teams or performing cloud cost-optimization duties.
- FinOps Certified Practitioner or FinOps Certified Engineer certification.
- Experience working with Datadog API endpoints.
- Experience with Go.
Additional Information
Required Tools and Platforms
- SQL
- Python
- Spark
- Scala
- AWS Glue
- Amazon Aurora
- Amazon Athena
- GCP
- Snowflake
- dbt, Airflow, and/or Dagster
- Terraform
- CI/CD tooling
- Git or another version-control platform
- REST APIs
Location, Schedule, and Engagement
- Remote contract opportunity.
- Candidates must be located in LATAM.
- Full-time allocation of approximately 40 hours per week.
- Candidates must be available to work a U.S.-based EST or CST schedule.
- The contract is expected to continue through March 31, 2027.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Asunción, Asunción, Paraguay
Location, Schedule, and Engagement - Remote contract opportunity. - Candidates must be located in LATAM. - Full-time allocation of approximately 40 hours per week.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.