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salary information

Salary Information for a Data Engineer in United States

Median salary:

This data reflects Total Cash for a Level 3 Data Engineer at a mid-size company. To get more detailed information on total compensation for the role of Data Engineer in United States, including base pay, total cash, and equity by job level, region and company size, please join OpenComp.

25th percentile
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Behind the numbers

What is the adjusted total comp for a Data Engineer in United States?

Total Comp (TC)
Cost of Living (COL) Index
COL-Adjusted TC
Median Home Price

Total Comp (TC)

Cost of Living (COL) Index
COL-Adjusted TC

Median Home Price

What are the responsibilities of a Data Engineer in United States?

Prepares the �big�data� infrastructure to be analyzed by�Data�Scientists. Design, build, integrate�data�from various resources, and manage big�data through coding and programming.

What are the characteristics of a level 3 Data Engineer?

A level 3 Data Engineer in United States is a seasoned professional with competence, creativity in wide range of technical areas. They resolves most issues and problems effectively. Average experience 5.5 years.

Data Engineer

Benchmark Role

Individual Contributor

Job Type

Data Engineering

Job Family

Technology

Job Area

Quality of Life for a US Resident Earning $151,640 Annually

An annual income of $151,640 puts an individual or household well above the median income in the United States, offering a comfortable standard of living. Here's a breakdown of how this income aligns with various aspects of life relative to the broader US context:

Cost of Living

  • General Cost: The cost of living varies significantly across different regions in the US, driven by factors such as housing, utilities, transportation, and groceries.
  • Essential Expenses: While $151,640 provides ample financial flexibility for essentials such as food, utilities, and transportation, living in high-cost areas (like San Francisco or New York City) may require more careful budget management compared to less expensive regions.

Housing Market

  • Home Prices: The median home price in the US is considerably lower than in high-demand urban areas. This income level comfortably supports home ownership in many parts of the country, although in certain expensive markets, it might cover a smaller property or require careful financial planning.
  • Affordability: With this salary, individuals can generally afford a mortgage on a moderately priced home, but those in expensive cities may find themselves allocating a larger portion of their income to housing.

Quality of Life

  • Discretionary Income: After covering essentials, this income allows for a significant amount of discretionary spending on travel, dining, entertainment, and hobbies.
  • Savings and Investments: Earning $151,640 facilitates robust savings, retirement planning, and potential investments in stocks or real estate.

Access to Healthcare

  • Healthcare Options: Many employers offer comprehensive healthcare plans that are affordable for someone earning this salary. Out-of-pocket expenses like copays and deductibles remain manageable.
  • Quality of Care: Access to quality healthcare remains excellent, especially in urban areas with larger, well-equipped medical centers.

Quality of K-12 Schools

  • Public Schools: Much like housing, the quality of public schools varies by district. Higher-income areas often boast better-funded schools with more resources.
  • Private Education: The income allows for the option of private schooling, which offers an alternative to public education and generally features smaller class sizes and additional programs.

Overall, an annual income of $151,640 allows for a comfortable lifestyle with room for discretionary spending, robust savings, and investment opportunities. While affording a desirable location in more expensive areas might

See salary information for the Data Engineer role elsewhere in the United States

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OpenComp aggregates multiple data sources to provide accurate salary data for United States, specifically for a Level 3 Data Engineer. The primary source is real-time, crowd-sourced salary information collected through direct integrations with hundreds of customer-connected HRIS platforms.

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