Role overview
Build and maintain data pipelines and infrastructure.
Annual Salary β 2025
Junior Level
$55,920 - $74,560
Experience: 0-2 years
Middle Level
$74,560 - $111,840
Experience: 3-5 years
Senior Level
$111,840 - $167,760
Experience: 6+ years
Estimated Take-Home Pay
Expected monthly income after standard tax deductions (approx. 25%)
$5,825
Hourly Rate
$38.09 - $51.53 per hour
Based on 40-hour work week, rates may vary by region and company
Healthcare
Comprehensive medical, dental and vision insurance coverage for you and your family
Approx. $6,524 per year
Annual Bonus Range
Typical performance-based annual bonus range
$9,320 - $13,980
Equity Bonus
Company equity compensation based on local market standards and company policy
Up to $9,320
Total Housing Budget
Recommended monthly spending on rent/mortgage and utilities
Up to $1,600
Retirement Savings Target
Recommended monthly retirement account contribution
$1,200
Recommended Emergency Fund
Financial safety net for unexpected expenses and life events
$23,300 - 46,600
Monthly Savings Targets
Recommended amount to set aside each month for your financial security and future goals
Approx. $2,300
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Education Requirements
Bachelor's in Computer Science or related field
Professional Certifications
Training & Development
- Professional development funds for courses and conferences
- Structured career development path with clear milestones
- Access to advanced technical training resources
Required Skills
Core Skills
Trending Skills
Emerging Skills
Specifics
Work Environment
Tools
Collaboration
Time Zones
Benefits
Common Benefits
Additional Benefits
Market Trends
Demand
Stable
Growth Rate
20% annual growth
Remote Work
Availability: Very High
Trend: Enhanced remote training and development programs utilizing interactive online learning platforms
Job Platforms
Key Industries
Similar Positions
Other positions similar to Data Engineer:
Cross-Country Pay Scale
Explore Data Engineer salaries worldwide. Below you'll find a comparison of average annual compensation in different countries relative to the base rate in Costa Rica ($93,200).
Frequently Asked Questions
What is the average Data Engineer salary in Costa Rica?
The average salary for a Data Engineer in Costa Rica is $93,200 per year. Entry-level positions (Junior Level) start at $55,920 - $74,560, while experienced professionals (Senior Level) can earn up to $111,840 - $167,760.
What skills are required for a Data Engineer role?
Core skills include Python, SQL, ETL, Data Warehousing. Trending skills are Spark, Airflow, dbt, Snowflake, while emerging skills focus on Real-time Processing, Data Mesh.
What is the job market outlook for Data Engineers?
The job market shows high demand with 15% annual growth. Remote work opportunities are increasing, with high availability across various job platforms. Key industries include Automotive Tech, Digital Marketing, Robotics, Data Analytics, Telecommunications.
What benefits are typically offered to Data Engineers in Costa Rica?
Common benefits include Health Insurance, Paid Time Off, Remote Work Options, Professional Development. Additional benefits may include Stock Options, Performance Bonuses, Health and Wellness Programs, Home Office Setup.
What roles are similar to Data Engineer?
Similar positions to Data Engineer include Big Data Engineer, ETL Developer, Database Engineer, Analytics Engineer. These roles share many of the same responsibilities and required skills, though their focus areas may vary slightly by organization.
What is the hourly rate for Data Engineers in Costa Rica?
Based on a standard 40-hour work week, Data Engineers in Costa Rica typically earn between $38.09 and $51.53 per hour per hour. Rates may vary depending on location, experience level, and specific employer.
What are the core and trending skills for Data Engineers?
Core skills essential for Data Engineers include Python, SQL, ETL, Data Warehousing. The most in-demand trending skills currently are Spark, Airflow, dbt, Snowflake. Professionals looking to stay competitive should also keep an eye on emerging skills like Real-time Processing, Data Mesh.
About Salary Data
Our salary data is compiled from trusted sources including:
- U.S. Bureau of Labor Statistics - Official employment statistics
- Eurostat - European Union labor market data
- ILOSTAT - The leading source of labour statistics
- Glassdoor - Company salary reports
- Levels.fyi - Tech industry compensation data
- Indeed - Job market analysis
Additional market insights from:
Note: Salary ranges are approximate and may vary based on location, experience, skills, and other factors. Data is regularly updated to reflect current market conditions.