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#5 Senior Data Engineer- Costa Rica, LATAM

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Design, build and own scalable data pipelines and ingestion processes

  • Architect ELT/ETL patterns across batch, incremental and CDC pipelines

  • Own Snowflake environment design, warehouse sizing, cost and performance tuning

  • Establish data governance, access controls and security protocols

  • Define data quality standards, lineage documentation and compliance requirements

From the employer’s posting
Design, build, and own scalable data pipelines and ingestion processes
Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines
Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning
Establish and enforce data governance frameworks, access controls, and security protocols
Define and maintain data quality standards, lineage documentation, and compliance requirements

What you’ll bring

All qualifications

Core experience

  • 7+ years of hands-on experience in data engineering, with a strong professional track record in place of formal credentials.
  • Hands-on experience with dbt, Airflow, or dbt Cloud.
  • Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns.
  • Experience working in a consultancy or multi-client environment.
  • Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse.
  • Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context.
Qualification wording
7+ years of hands-on experience in data engineering, with a strong professional track record in place of formal credentials.
Hands-on experience with dbt, Airflow, or dbt Cloud.
Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns.
Experience working in a consultancy or multi-client environment.
Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse.
Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context.
Apply at Blue Trust

Posting record

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Open 4 monthsWe first saw this posting 138 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 19, 2026138 days ago
Recorded sightings
35
Last seen by us
Nov 4, 2026
Employer says posted
Jun 17, 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

Time since we first saw it

Day 138

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Blue Trust is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
Hiring record

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
  • SQL
  • AWS
  • Azure
  • dbt
  • GCP
  • Snowflake
  • Airflow
Where the posting names them
Senior Data EngineerThis is a senior-level role focused on the design, development, and ownership of data solutions built primarily on Snowflake Data Cloud. You will lead the architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards across the platform.Key ResponsibilitiesData Pipeline & Engineering - Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools. - Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines.
- Proven, deep expertise with Snowflake- including performance optimisation, cost management, security features, and data architecture. - Solid working knowledge of SQL and at least one scripting language, preferably Python. - Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns.
- Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning. - Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions. - Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools.
- Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse. - Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context. Nice to Have
- Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions. - Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools. Governance & Security
Nice to Have - Hands-on experience with dbt, Airflow, or dbt Cloud. - Exposure to data governance frameworks and security best practices within cloud environments.
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth. We don't just strategize — we execute.
We don't just strategize — we execute. Senior Data EngineerThis is a senior-level role focused on the design, development, and ownership of data solutions built primarily on Snowflake Data Cloud. You will lead the architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards across the platform.Key ResponsibilitiesData Pipeline & Engineering - Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools.
Platform & Cloud Engineering - Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning. - Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions.
Governance & Security - Establish and enforce data governance frameworks, access controls, and security protocols- with particular focus on Snowflake-native capabilities such as row-level security, dynamic data masking, and data sharing. - Define and maintain data quality standards, lineage documentation, and compliance requirements.
- 7+ years of hands-on experience in data engineering, with a strong professional track record in place of formal credentials. - Proven, deep expertise with Snowflake- including performance optimisation, cost management, security features, and data architecture. - Solid working knowledge of SQL and at least one scripting language, preferably Python.

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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

View original posting ↗

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.

With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.

We don't just strategize — we execute.


Senior Data EngineerThis is a senior-level role focused on the design, development, and ownership of data solutions built primarily on Snowflake Data Cloud. You will lead the architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards across the platform.Key ResponsibilitiesData Pipeline & Engineering
  • Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools.
  • Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines.
  • Lead the development of data models using Dimensional Modeling, Data Vault, or Lakehouse approaches.
  • Define and implement data transformation logic, data quality validations, and business rules.
Platform & Cloud Engineering
  • Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning.
  • Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions.
  • Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools.
Governance & Security
  • Establish and enforce data governance frameworks, access controls, and security protocols- with particular focus on Snowflake-native capabilities such as row-level security, dynamic data masking, and data sharing.
  • Define and maintain data quality standards, lineage documentation, and compliance requirements.
Requirements
  • 7+ years of hands-on experience in data engineering, with a strong professional track record in place of formal credentials.
  • Proven, deep expertise with Snowflake- including performance optimisation, cost management, security features, and data architecture.
  • Solid working knowledge of SQL and at least one scripting language, preferably Python.
  • Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns.
  • Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse.
  • Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context.
Nice to Have
  • Hands-on experience with dbt, Airflow, or dbt Cloud.
  • Exposure to data governance frameworks and security best practices within cloud environments.
  • Experience working in a consultancy or multi-client environment.
We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.

Employment type

Bench hiring

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