Data Engineer Salary at Lyte BETA

How much does a Lyte Data Engineer make?

As of December 2024, the average annual salary for a Data Engineer at Lyte is $142,114, which translates to approximately $68 per hour. Salaries for Data Engineer at Lyte typically range from $129,005 to $152,957, 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:
lyte.com
Size:
25 - 50 Employees
Revenue:
$10M - $50M
Industry:
Software & Networking

Established in 2013, Lyte is a reservations technology platform that has reimagined event ticketing for artists, venues and fans. In an industry where the standard is "no refunds," and concert-goers have to compete with robots and brokers for the tickets they want, Lyte's mission is to fill every seat with real tickets at fair prices and make the entire experience delightful and simple. The company is based out of San Francisco, California.

See similar companies related to Lyte

What Skills Does a person Need at Lyte?

At Lyte, 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

Glocomms
San Francisco , CA

As the Founding Data Engineer, you will play a pivotal role in establishing and building out the data organization within the Finance and Strategy department. Your primary responsibilities will include building a data warehouse, developing customer reporting systems, transforming data, and leveraging AI to solve business problems. This role requires a self-starter with a strong background in Microsoft tools and a passion for data visualization. Key Responsibilities: Design, develop, and maintain a scalable data warehouse to support business intelligence and analytics needs. Create and implement data transformation processes to ensure data accuracy and consistency. Develop and maintain customer reporting systems using Power BI and other data visualization tools. Leverage AI and machine learning techniques to analyze data and provide actionable insights. Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Ensure data int


Sponsored
12/12/2024 12:00:00 AM
Replit
San Mateo , CA

About Replit Replit is on a mission to onboard the next billion software creators and AI has only accelerated things. It's the evolution of no code/low code: AI native coders. 30 million people have signed up to build applications, internal tools, and workflows on Replit - many of them with zero coding experience. Join the biggest change in technology since the arrival of the personal computer. Join us and help build software faster. About the role: As a Data Engineer, your job is to facilitate data analytics and measurement at scale at Replit. You'll work with product and business teams to help build data pipelines and transformations to enable us to understand and measure product usage. You'll also work to make our data scientists and analystsand the business decisions that depend on them more powerful and efficient. You will...: Build Spark pipelines using Databricks to help get product data into GCS and BQ from BigTable. Build Airflow pipelines leveraging data from Spark pipelines


Sponsored
12/11/2024 12:00:00 AM
xAI
San Francisco , CA

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title "Member of Technical Staff." We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. xAI does not have recruiters. Every application is reviewed directly


Sponsored
12/11/2024 12:00:00 AM
Harnham
San Francisco , CA

Data Engineer 1 Year Contract Hybrid (2 Days Onsite) $75-85/hr We are partnered with a leading beauty retailer, delivering innovative and personalized beauty experiences to their customers. We are looking for a highly skilled Data Engineer to join the team and help enhance our data platforms and analytics capabilities. You will work with cutting-edge technologies to process large volumes of data, integrate machine learning models, and build scalable data pipelines that will power our e-commerce platforms and improve customer experiences. Role Overview As a data engineer, you will play a key role in shaping and implementing our data strategy. You will be responsible for leading the development and deployment of data processing pipelines, driving machine learning model integration, and ensuring high-quality, scalable, and reliable data platforms. Key Responsibilities Drive the design, implementation, and optimization of data pipelines for heavy-volume data processing, including ETL workf


Sponsored
12/9/2024 12:00:00 AM
LatentView Analytics
San Bruno , CA

Description: We are looking for a Data Engineer with 5+ years of experience who will be responsible for developing, optimizing, and maintaining data pipelines and infrastructure. Your expertise in SQL and Python will be instrumental in managing and transforming data, while your familiarity with cloud technologies will be considered an asset as we explore opportunities to enhance data engineering processes. Responsibilities: Data Pipeline Development: Design, implement, and maintain end-to-end data pipelines to efficiently extract, transform, and load (ETL) data from diverse sources. Ensure data pipelines are reliable, scalable, and performance-oriented. SQL Expertise: Write and optimize complex SQL queries for data extraction, transformation, and reporting. Collaborate with analysts and data scientists to provide structured data for analysis. Cloud Platform Experience: Utilize cloud services to enhance data processing and storage capabilities. Work towards the integration of tools into


Sponsored
12/9/2024 12:00:00 AM
Syntricate Technologies
San Francisco , CA

Position-Data engineer Duration-Contract Location- San Francisco, C JD SQL and Snowflake experience along with understanding the data pipelines. Documentation of the data pipelines, metadata, data catalog experience is preferred Digital : Google Data Engineering Regards, Pallavi Verma Sr. Technical Recruiter | Syntricate Technologies Inc. Direct : 781-552-4333 | Email : pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com We're hiring! connect with us on LinkedIn nd visit our Jobs Portal Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by m


Sponsored
12/8/2024 12:00:00 AM
Facebook
Fremont , CA

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working


Sponsored
12/8/2024 12:00:00 AM
Saxon Global
Sunnyvale , CA

Walmart Rate: $60/hr C2C ANY VISA Location: Sunnyvale, CA **HYBRID 2 days per week** No H1Bs Spark, PySpark, Scala are the main skill sets GLIDER TO HIRE - NO INTERVIEWS!! Description: Designs, develops, and implements Scala, PySpark, Spark eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.


Sponsored
12/8/2024 12:00:00 AM

Check more jobs information at Lyte

Job Title Average Lyte Salary Hourly Rate
2 Assistant Manager $112,383 $54
3 Chief Financial Officer $485,203 $233
4 Data Architect $143,810 $69
5 DevOps Engineer $134,840 $65
6 Frontend Engineer $118,715 $57
7 HR Recruiter $83,177 $40
8 Manager, Product & Operations $138,316 $66
9 Senior Data Engineer $115,138 $55
10 Senior Product Manager $138,316 $66
11 Senior Sales Manager $195,349 $94
12 Chief Executive Officer $930,656 $447
13 Director, Business Development $225,712 $109

Hourly Pay at Lyte

The average hourly pay at Lyte for a Data Engineer is $68 per hour. The location, department, and job description all have an impact on the typical compensation for Lyte positions. The pay range and total remuneration for the job title are shown in the table below. Lyte may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $142,114 look to you?

FAQ about Salary and Jobs at Lyte

1. How much does Lyte pay per hour?
The average hourly pay is $68. 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 Lyte?
According to the data, the highest approximate salary is about $152,957 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 Lyte?
According to the data, the lowest estimated salary is about $129,005 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.