Salary for Mid-level / Intermediate Data Operations Engineer during 2024

Salary details

The average mid-level / intermediate Data Operations Engineer salary lies between USD 100,000 and USD 130,591 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 1, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Operations Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Operations Engineer job listings are DataOps, SQL and Pipelines. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

DataOps | 20 jobs SQL | 16 jobs Pipelines | 14 jobs Engineering | 13 jobs Python | 11 jobs Data pipelines | 10 jobs Data quality | 9 jobs ETL | 8 jobs Architecture | 8 jobs Computer Science | 8 jobs Big Data | 7 jobs Testing | 7 jobs Spark | 6 jobs AWS | 6 jobs Agile | 6 jobs Privacy | 5 jobs Kafka | 4 jobs Tableau | 4 jobs Kubernetes | 4 jobs Airflow | 4 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Operations Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Operations Engineer job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 13 jobs Health care | 10 jobs Competitive pay | 6 jobs Wellness | 4 jobs Equity / stock options | 3 jobs Flex hours | 3 jobs Flex vacation | 3 jobs Startup environment | 3 jobs Team events | 3 jobs Medical leave | 3 jobs Conferences | 2 jobs Salary bonus | 2 jobs Home office stipend | 2 jobs Parental leave | 1 jobs Travel | 1 jobs Fitness / gym | 1 jobs Insurance | 1 jobs

Salary Composition

The salary for a Mid-level Data Operations Engineer typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

The composition can vary by region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries but also have a higher cost of living. In contrast, companies in smaller cities might offer lower base salaries but compensate with more substantial bonuses or stock options. Larger companies often provide more comprehensive benefits packages, while startups might offer more equity.

Increasing Salary

To increase your salary from a Mid-level Data Operations Engineer position, consider the following steps:

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can make you more competitive.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams, as leadership experience can lead to higher-paying roles.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more.

Educational Requirements

Most Mid-level Data Operations Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Data Science, Information Technology, or Engineering. Some positions might prefer candidates with a master's degree, especially if the role involves complex data analysis or machine learning tasks. A strong foundation in mathematics and statistics is also beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Data Management Professional (CDMP)
• AWS Certified Data Analytics
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Data Analyst

These certifications demonstrate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a Mid-level Data Operations Engineer is expected to have 3-5 years of experience in data-related roles. This experience should include hands-on work with data management, data warehousing, and data processing tools. Experience with cloud platforms, data integration, and ETL processes is often required. Familiarity with programming languages such as Python, SQL, and R is also essential.

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