DataOps Engineer Salary in United States during 2024

Salary details

The average DataOps Engineer salary lies between USD 73,008 and USD 170,640 in the United States. 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: 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 | 51 jobs Python | 40 jobs Pipelines | 39 jobs Engineering | 36 jobs Security | 32 jobs Data pipelines | 32 jobs AWS | 31 jobs SQL | 30 jobs Terraform | 29 jobs CI/CD | 28 jobs DevOps | 27 jobs Kubernetes | 24 jobs Computer Science | 23 jobs ETL | 22 jobs Architecture | 20 jobs Docker | 20 jobs Snowflake | 17 jobs Data quality | 17 jobs Testing | 16 jobs Big Data | 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 Salary bonus | 9 jobs Insurance | 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 DataOps Engineers

The salary for a DataOps Engineer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. Larger companies or those in high-demand industries such as finance or technology may offer more competitive packages, including comprehensive benefits like health insurance, retirement plans, and professional development opportunities.

Steps to Increase Salary

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 or organization, which often come with higher pay.
• Industry Transition: Consider moving to industries that pay higher for DataOps roles, such as finance, healthcare, or tech giants.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.

Educational Requirements

Most DataOps Engineer positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some employers may prefer candidates with a master's degree, especially for senior roles. A strong foundation in programming, data management, and systems architecture is essential.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications for DataOps Engineers include:

• Certified Kubernetes Administrator (CKA)
• AWS Certified DevOps Engineer
• Google Professional Data Engineer
• Microsoft Certified: Azure DevOps Engineer Expert
• Certified Data Management Professional (CDMP)

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in data management, DevOps, or related fields. Experience with cloud platforms, data pipelines, and automation tools is highly valued. Demonstrated experience in managing data workflows and optimizing data processes is crucial for this role.

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