Data Engineer Salary in Colombia during 2023

Salary details

The average Data Engineer salary lies between USD 60,000 and USD 88,000 in Colombia. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Oct. 28, 2024

Top 20 Job Tags for Data Engineer roles

The three most common job tag items assiciated with Data Engineer job listings are Python, Engineering and SQL. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Python | 5352 jobs Engineering | 5125 jobs SQL | 5036 jobs Pipelines | 4382 jobs AWS | 3582 jobs Spark | 3309 jobs ETL | 3273 jobs Architecture | 3229 jobs Data pipelines | 3202 jobs Computer Science | 2748 jobs Big Data | 2603 jobs Agile | 2547 jobs Azure | 2406 jobs Java | 2258 jobs Machine Learning | 2077 jobs GCP | 1967 jobs Airflow | 1937 jobs Security | 1845 jobs Scala | 1799 jobs Kafka | 1784 jobs

Top 20 Job Perks/Benefits for Data Engineer roles

The three most common job benefits and perks assiciated with Data Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 4076 jobs Health care | 2146 jobs Flex hours | 2037 jobs Startup environment | 1894 jobs Team events | 1476 jobs Flex vacation | 1326 jobs Competitive pay | 1293 jobs Equity / stock options | 1110 jobs Parental leave | 1062 jobs Salary bonus | 1046 jobs Insurance | 997 jobs Medical leave | 711 jobs Wellness | 645 jobs 401(k) matching | 508 jobs Home office stipend | 375 jobs Fitness / gym | 286 jobs Gear | 275 jobs Unlimited paid time off | 265 jobs Conferences | 199 jobs Relocation support | 148 jobs

Salary Composition

In Colombia, the salary composition for a Data Engineer in the AI/ML/Data Science field can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary is often complemented by performance-based bonuses, which can vary from 10% to 20% of the base salary, depending on the company's performance and individual contributions. Additionally, some companies offer stock options or equity, especially in tech startups or larger tech firms, as a form of long-term incentive. Benefits such as health insurance, retirement plans, and professional development allowances are also common, adding to the overall remuneration package.

Increasing Salary

To increase your salary further from a Data Engineer position, consider the following steps:

• Skill Enhancement: Continuously update your technical skills, especially in emerging technologies and tools relevant to data engineering, such as cloud platforms (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data warehousing solutions (Snowflake, Redshift).

• Advanced Education: Pursuing a master's degree or specialized certifications in data science, machine learning, or related fields can make you more competitive and open up higher-paying opportunities.

• Networking and Industry Engagement: Attend industry conferences, workshops, and meetups to expand your professional network. Engaging with the community can lead to new job opportunities and insights into higher-paying roles.

• Leadership and Management Skills: Developing skills in project management and leadership can position you for roles with greater responsibility and higher pay, such as a Data Engineering Manager or Lead Data Engineer.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in mathematics and statistics is also beneficial, as it underpins many data engineering tasks.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for Data Engineers include:

• Google Professional Data Engineer
• AWS Certified Big Data – Specialty
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Professional (CCP) Data Engineer

These certifications validate your skills in specific platforms and tools, making you more attractive to employers who use these technologies.

Experience Requirements

Typically, a Data Engineer role requires 2-5 years of experience in data engineering or a related field. Experience with data modeling, ETL processes, and working with large datasets is crucial. Familiarity with programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases are also commonly required.

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