Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 10,703 similar postings that came down. Coming down is not always a hire.
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 10,703 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.
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.
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.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Costa Rica
Location: Costa Rica Mode: Hybrid We at Coforge are hiring Mid Data Engineer (#006fu00000QeELXAA3-11) with the following skill set.
No clear work-authorization passage found. Eligibility is unconfirmed.