Data Engineer Salary at Thorn BETA

How much does a Thorn Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Thorn is $119,571, which translates to approximately $57 per hour. Salaries for Data Engineer at Thorn typically range from $107,718 to $130,527, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
thorn.org
Size:
25 - 50 Employees
Revenue:
$10M - $50M
Industry:
Edu., Gov't. & Nonprofit

Thorn: Digital Defenders of Children, previously known as DNA Foundation, is an international anti-human trafficking organization that works to address the sexual exploitation of children. The primary programming efforts of the organization focus on Internet technology and the role it plays in facilitating child pornography and sexual slavery of children on a global scale. The organization was founded by American actors Demi Moore and Ashton Kutcher.

See similar companies related to Thorn

What Skills Does a person Need at Thorn?

At Thorn, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

Chipotle Mexican Grill
Newport Beach , CA

CULTIVATE A BETTER WORLD Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone. LOCATION This position will be based onsite at our Newport Beach, CA office. Remote work is not available for this role. THE OPPORTUNITY The Manager will oversee Data Engineering teams and will be a thought leader for enterprise data solutions and delivery across the company. This role will lead, manage, and continue to build the enterprise data engineering function and strategy at Chipotle along with mentoring and coaching teams of data engineers. This high impact role will have an opportunity to lead a team to build our enterprise data so


Sponsored
4/9/2025 12:00:00 AM
Litmus7
Los Angeles , CA

Job Location - LA, CA - ONSITE - NO REMOTE Job Description: Data Engineering Architect We are seeking an experienced Data Engineering Architect to design and implement scalable data solutions for our organization. The ideal candidate will have deep expertise in cloud data warehousing, ETL/ELT processes, data modeling, and business intelligence. Responsibilities: • Design and architect end-to-end data solutions leveraging AWS Redshift, Apache Airflow, dbt, and other modern data tools • Develop data models and implement data pipelines to ingest, transform, and load data from various sources into our Redshift data warehouse • Create and maintain Apache Airflow DAGs to orchestrate complex data workflows and ETL processes • Implement data transformations and modeling using dbt to ensure data quality and consistency • Design and optimize Redshift clusters for performance, scalability, and cost-efficiency • Collaborate with data analysts and scientists to expose data through Tableau dashboard


Sponsored
4/8/2025 12:00:00 AM
Insight Global
Los Angeles , CA

Title: Data Engineer (CRM Dynamics and Data Pipelines) Duration: Direct hire, permanent Location: Mon, Wed, and Thurs on-site in Woodland Hills, CA Pay Range: $140-170k annually Job Description: The Data Engineer will work with all business domains (CRM, Marketing, Digital Marketing, Finance…), IT professionals, product owners, globally, to develop and maintain data pipelines and integrations. The Data Engineer will be responsible for designing, implementing, and optimizing data pipelines both upstream and downstream of CRM Dynamics, leveraging Databricks, ADLS Gen 2, and Azure cloud platforms like Synapse and ADF. Qualifications: Proven experience (5-7 years) in data engineering, data integration, or a related role. Strong knowledge of data pipeline design, implementation, and optimization. Experience with Databricks, ADLS Gen 2, Azure Synapse, and Azure Data Factory (ADF). Familiarity with CRM Dynamics’ Dataverse, MS Synapse link integrations and data integrations. Excellent oral and


Sponsored
4/8/2025 12:00:00 AM
LTIMindtree
Irvine , CA

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Senior Data Integration ETL Engineer Lead Work Location USA (Irvine, CA) (Onsite/Hybrid) Job Description: Design implement


Sponsored
4/7/2025 12:00:00 AM
Diverse Lynx
Culver City , CA

Data Engineer Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.


Sponsored
4/5/2025 12:00:00 AM
SynergisticIT
Los Angeles , CA

Since 2010 SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The Tech Job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs. The Job market is Hyper Competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Please see the below links to know more about Synergisticit and some useful tips https://www.synergisticit.com/candidate-outcomes/ https://synergisticit.wistia.com/medias/o5gmv7i9eu https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD https://synergisticit.wistia.com/medias/k6t6a1n4kb Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT We regularly interact with


Sponsored
4/5/2025 12:00:00 AM
Amazon
Santa Monica , CA

Description The Rewarded Ads team is building a new and exciting product offering that enable advertisers to offer rewards to consumers when they shop on Amazon. This is an exciting direction in the Advertising world as it creates a win-win for both the advertiser and consumers. We are seeking a seasoned data engineer to help us complete this vision. It is a great opportunity for someone looking to influence and help shape the technology direction of a young and growing organization. You will help with the delivery of our data solutions that powers the internal dashboard, product insights, external advertiser reports, recommendation engine and more. An ideal candidate should have deep expertise in the creation, management, and business use of large datasets, across a variety of data platforms. They should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to do the data analysis to answer business questions and


Sponsored
4/5/2025 12:00:00 AM
Heluna Health
Los Angeles , CA

We have a diverse team of healthcare IT experts devoted to solving real-world healthcare problems. We're looking for a driven, smart, creative, and fun candidate who shares our passion for optimizing the intersection of consumer health, engagement, technology, and innovation. LANES is a community-based Qualified Health Information Organization (QHIO) whose mission is to improve health care delivery by building a platform that enables cost-effective and secure electronic exchange of patient medical records among public and private health care providers and health plans in the larger Los Angeles County region. LANES seeks to make personal health information available when and where it is needed for patient care, safely and securely. LANES uses the Mirth technology, AWS cloud, Google Big Query and FHIR, to link healthcare organizations and to maintain the core technology infrastructure of the Health Information Organization. LANES created a unique new opportunity for a talented and motiva


Sponsored
4/5/2025 12:00:00 AM

Check more jobs information at Thorn

Job Title Average Thorn Salary Hourly Rate
2 Field Representative $59,166 $28
3 Instructional Designer $87,162 $42
4 Product Manager $142,120 $68
5 Product Trainer $64,796 $31
6 Project Engineer $90,591 $44
7 Senior Data Engineer $96,874 $47
8 Staff Data Scientist $110,137 $53
9 Staff Engineer $103,790 $50
10 Support Engineer $70,925 $34
11 Team Lead, Technical $98,673 $47
12 Account Manager $74,878 $36
13 Data Scientist $110,137 $53

Hourly Pay at Thorn

The average hourly pay at Thorn for a Data Engineer is $57 per hour. The location, department, and job description all have an impact on the typical compensation for Thorn positions. The pay range and total remuneration for the job title are shown in the table below. Thorn may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $119,571 look to you?

FAQ about Salary and Jobs at Thorn

1. How much does Thorn pay per hour?
The average hourly pay is $57. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Thorn?
According to the data, the highest approximate salary is about $130,527 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Thorn?
According to the data, the lowest estimated salary is about $107,718 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.