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Costa Rica
Actively hiring, first seen by us todayDesign and maintain scalable ETL/ELT pipelines into Snowflake
Develop and optimize Snowflake data models and MongoDB structures
Implement data quality checks, observability, lineage, and security controls
Automate deployments through CI/CD and infrastructure-as-code
Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms into Snowflake.
Develop and optimize Snowflake data models and MongoDB structures, ensuring performance, scalability, and cost efficiency.
Implement data quality checks, observability, lineage tracking, monitoring, and security controls across data pipelines and databases.
Automate deployments through CI/CD and infrastructure-as-code while collaborating with analysts, BI developers, and product teams
Experience with Snowflake Snowpark or Cortex and SnowPro certification.
Familiarity with DevOps tools such as Jenkins, SonarQube, GitHub/GitLab, and Jira.
Knowledge of DORA metrics, DevOps practices, and engineering performance metrics.
Experience with Power BI or Tableau.
Required Skills & Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 5+ years of hands-on experience in Data Engineering.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. 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.
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Job Title: Mid Data Engineer Key Skills: Snowflake, MongoDB, SQL, Python, dbt, ETL/ELT, Data Modeling, Data Warehousing, CI/CD, Data Observability, Power BI, Tableau, AI-Assisted Development Experience: 5+ YOE
- 3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning. - Advanced SQL and Python skills, including experience with data manipulation and scripting. - Strong knowledge of ETL/ELT design patterns, batch and incremental loads, CDC, error handling, and retries.
- Strong knowledge of ETL/ELT design patterns, batch and incremental loads, CDC, error handling, and retries. - Experience with dbt and data integration tools such as Airflow, Informatica, Talend, or Fivetran. - Knowledge of dimensional modeling, data warehousing, data lakes/lakehouses, governance, metadata, and lineage.
- Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms into Snowflake. - Develop and optimize Snowflake data models and MongoDB structures, ensuring performance, scalability, and cost efficiency. - Implement data quality checks, observability, lineage tracking, monitoring, and security controls across data pipelines and databases.
- Strong hands-on experience with Snowflake architecture, including virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, and performance optimization. - 3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning. - Advanced SQL and Python skills, including experience with data manipulation and scripting.
- Experience with Snowflake Snowpark or Cortex and SnowPro certification. - MongoDB or Snowflake certifications. - Familiarity with DevOps tools such as Jenkins, SonarQube, GitHub/GitLab, and Jira.
- Exposure to AI/ML data preparation or AI-assistant usage analytics. - Experience with Power BI or Tableau. Posted On: 3-11-2026
Key Responsibilities - Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms into Snowflake. - Develop and optimize Snowflake data models and MongoDB structures, ensuring performance, scalability, and cost efficiency.
- 5+ years of hands-on experience in Data Engineering. - Strong hands-on experience with Snowflake architecture, including virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, and performance optimization. - 3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning.
Preferred Skills: - Experience with Snowflake Snowpark or Cortex and SnowPro certification. - MongoDB or Snowflake certifications.
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Yes. We’ve followed 7 other Mid Data Engineer jobs there since June 2026. 5 came down, usually after about 5 days. 2 are still up.
If this one keeps the same pace, it may come down around November 9.
Large employers often post one title for several teams, so these can be separate openings.
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.
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 Title: Mid Data Engineer
Key Skills: Snowflake, MongoDB, SQL, Python, dbt, ETL/ELT, Data Modeling, Data Warehousing, CI/CD, Data Observability, Power BI, Tableau, AI-Assisted Development
Experience: 5+ YOE
Location: Costa Rica
Mode: Hybrid
We at Coforge are hiring Mid Data Engineer (#006fu00000QeELXAA3-11) with the following skill set.
Key Responsibilities
Design and maintain scalable ETL/ELT pipelines integrating data from APIs, databases, event logs, and AI development platforms into Snowflake.
Develop and optimize Snowflake data models and MongoDB structures, ensuring performance, scalability, and cost efficiency.
Implement data quality checks, observability, lineage tracking, monitoring, and security controls across data pipelines and databases.
Automate deployments through CI/CD and infrastructure-as-code while collaborating with analysts, BI developers, and product teams to deliver reliable data solutions.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of hands-on experience in Data Engineering.
Strong hands-on experience with Snowflake architecture, including virtual warehouses, Snowpipe, Streams & Tasks, Time Travel, and performance optimization.
3+ years of hands-on experience with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning.
Advanced SQL and Python skills, including experience with data manipulation and scripting.
Strong knowledge of ETL/ELT design patterns, batch and incremental loads, CDC, error handling, and retries.
Experience with dbt and data integration tools such as Airflow, Informatica, Talend, or Fivetran.
Knowledge of dimensional modeling, data warehousing, data lakes/lakehouses, governance, metadata, and lineage.
Experience with pipeline monitoring, observability, alerting, and production incident management.
Familiarity with CI/CD, Git, infrastructure-as-code, and enterprise security controls such as RBAC, masking, and encryption.
Preferred Skills:
Experience with Snowflake Snowpark or Cortex and SnowPro certification.
MongoDB or Snowflake certifications.
Familiarity with DevOps tools such as Jenkins, SonarQube, GitHub/GitLab, and Jira.
Knowledge of DORA metrics, DevOps practices, and engineering performance metrics.
Exposure to AI/ML data preparation or AI-assistant usage analytics.
Experience with Power BI or Tableau.
Posted On: 3-11-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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Costa Rica
Location: Costa Rica Mode: Hybrid We at Coforge are hiring Mid Data Engineer (#006fu00000QeELXAA3-11) with the following skill set.
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