DataOps Engineer Salary in 2024

Salary details

The average DataOps Engineer salary lies between USD 73,008 and USD 170,640 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: Nov. 17, 2024

Top 20 Job Tags for DataOps Engineer roles

The three most common job tag items assiciated with DataOps Engineer job listings are DataOps, Python 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 | 50 jobs Python | 39 jobs Pipelines | 38 jobs Engineering | 35 jobs Security | 32 jobs Data pipelines | 32 jobs AWS | 30 jobs SQL | 29 jobs Terraform | 28 jobs CI/CD | 27 jobs DevOps | 26 jobs Kubernetes | 24 jobs Computer Science | 22 jobs ETL | 21 jobs Docker | 20 jobs Architecture | 19 jobs Data quality | 17 jobs Snowflake | 16 jobs Big Data | 15 jobs Airflow | 15 jobs

Top 20 Job Perks/Benefits for DataOps Engineer roles

The three most common job benefits and perks assiciated with DataOps Engineer job listings are Career development, Health care and Startup environment. 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 | 31 jobs Health care | 16 jobs Startup environment | 14 jobs Flex hours | 13 jobs Team events | 13 jobs Competitive pay | 11 jobs Equity / stock options | 10 jobs Parental leave | 9 jobs Insurance | 8 jobs Salary bonus | 8 jobs Flex vacation | 6 jobs Medical leave | 6 jobs Gear | 3 jobs Fitness / gym | 3 jobs Home office stipend | 3 jobs Wellness | 2 jobs Paid sabbatical | 2 jobs 401(k) matching | 1 jobs Transparency | 1 jobs Signing bonus | 1 jobs

Salary Composition for a DataOps Engineer

The salary composition for a DataOps Engineer can vary significantly based on factors such as region, industry, and company size. Generally, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed annual income and typically constitutes the largest portion of the total compensation package. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses.

• Performance-Based Bonus: Bonuses are often tied to individual performance, team performance, or company profitability. In tech-heavy industries, bonuses can range from 10% to 20% of the base salary.

• Additional Remuneration: This may include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement contributions, and paid time off. Larger companies might offer more comprehensive benefits packages.

Steps to Increase Salary from a DataOps Engineer Position

To increase your salary from a DataOps Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to DataOps, such as cloud platforms, containerization, and orchestration tools.

• Advanced Certifications: Obtain advanced certifications in data management, cloud computing, or specific tools like Kubernetes or AWS.

• Leadership Roles: Aim for leadership or managerial roles within your team, which often come with higher pay.

• Industry Transition: Consider moving to industries that pay higher salaries for DataOps roles, such as finance or healthcare.

• Networking and Visibility: Increase your professional network and visibility by attending industry conferences, contributing to open-source projects, or publishing articles.

Educational Requirements for a DataOps Engineer

Most DataOps Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, or Data Science. Some employers may prefer candidates with a master's degree, especially for senior roles. Relevant coursework includes data management, software engineering, and systems architecture.

Helpful Certifications for DataOps Engineers

Certifications can enhance your credibility and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Kubernetes Administrator (CKA)
• AWS Certified Solutions Architect
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate

These certifications validate your skills in cloud platforms and data management, which are crucial for a DataOps role.

Experience Required for a DataOps Engineer

Typically, employers look for candidates with 3-5 years of experience in data engineering, software development, or IT operations. Experience with data pipelines, cloud services, and DevOps practices is highly valued. Familiarity with tools like Jenkins, Docker, and Terraform can also be beneficial.

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