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Mid Data Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design 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

From the employer’s posting
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

What you’ll bring

All qualifications

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
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.
Apply at Encora

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

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 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Encora is hiring

25 open jobs

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

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
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
  • dbt
  • Fivetran
  • MongoDB
  • Power BI
  • Snowflake
  • Tableau
  • Airflow
Where the posting names them
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.

Your next step

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Already applied? Track this application

Has Encora posted this job before?

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.

  1. Place not statedCame down after 1 day, first seen Jun 25
  2. Place not statedCame down after 8 days, first seen Oct 8
  3. Place not statedStill up after 27 days, first seen Oct 8
  4. Place not statedCame down after 0 days, first seen Oct 8
  5. Place not statedCame down after 8 days, first seen Oct 8
  6. Place not statedCame down after 5 days, first seen Oct 22
  7. Place not statedStill up after 13 days, first seen Oct 22
  8. This jobUp 1 day so far, first seen Nov 4

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.

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 ↗

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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Location & working pattern

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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