Data Engineer Salary at Kik BETA

How much does a Kik Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Kik is $130,469, which translates to approximately $63 per hour. Salaries for Data Engineer at Kik typically range from $118,400 to $140,464, 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:
kik.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
Software & Networking

Kik Interactive Inc. founded in 2009 and headquartered in Santa Monica, is the maker of Kik, a chat platform with chat-based services.

See similar companies related to Kik

What Skills Does a person Need at Kik?

At Kik, 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

FDH Aero
Commerce , CA

FDH Aero is seeking a Data Engineer to join our team and play a vital role in designing, developing, and maintaining scalable data solutions. The ideal candidate should have experience working with SQL, Azure Data Factory, and Microsoft Azure while possessing a strong foundation in ETL (Extract, Transform, Load) processes and data warehousing concepts. They should also be proficient in leveraging Power BI and data visualization to deliver meaningful insights to business stakeholders. Responsibilities: Develop and optimize SQL queries for data extraction, transformation, and loading Design, develop, and maintain data pipelines using Azure Data Factory (ADF) Implement ETL processes and data integration workflows to ensure efficient data movement and transformation Utilize data warehousing concepts to structure and manage large datasets efficiently Develop Power BI dashboards and reports to provide business insights and support informed decision-making Design and implement data models to


Sponsored
4/21/2025 12:00:00 AM
Apex Systems
Glendale , CA

Apex Systems is seeking an experience Sr Security Data Engineer that will managing complex data structures and delivering scalable and efficient data solutions. If you are interested in this position, please reach out to Rich at [email protected] Glendale, CAOnsite 2x Days a week / Open to 4 x week should requirements shift 18 Month contract (potential to convert or extend TBD) Targeted Pay Rate: $90+/hr Key Responsibilities: Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines Build tools and services to support data discovery, lineage, governance, and privacy Collaborate with other software/data engineers and cross-functional teams Build and maintain APIs to expose data to downstream applications Develop real-time streaming data pipelines Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Graph Database, Kafka Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform C


Sponsored
4/21/2025 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
4/20/2025 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
4/20/2025 12:00:00 AM
Cooley LLP
Los Angeles , CA

Lead Data Engineer Cooley is seeking a Lead Data Engineer to join the Data Science & Engineering team. Position summary: As the leading technology law firm in the world, Cooley is determined to become a leader in the digital practice of law. Reporting to the Director of Data Science and Engineering, the Lead Data Engineer will focus on designing, developing, and maintaining a data lake and scalable data pipelines and architectures in support of Cooley's data-driven goals. This role will be instrumental in establishing the foundational data lake infrastructure and supporting downstream AI and analytics initiatives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: Design, develop, and implement scalable data pipelines to ingest, transform, and store structured and unstructured data Analyze, optimize, and tune existing data pipelines for performance, reliability, and efficiency Lead collaboration with stakeholders to understan


Sponsored
4/18/2025 12:00:00 AM
RIT Solutions, Inc.
Glendale , CA

Required Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field; or 8 years of equivalent work experience 3-4 years of additional work experience beyond degree requirements Machine Learning (ML) and Deep Learning (DL): Proficiency in geospatial and computer vision analysis. Experience with ML/DL models/algorithms (classification, regression, NLP, computer vision). Knowledge of secure AI architectural patterns. Programming Skills: Proficiency in Python (and PySpark preferred). SQL expertise for data querying and manipulation. Familiarity with Docker and MLOps practices. Cloud Platforms (AWS and Azure): Experience with AWS services for data engineering (e.g., S3, Glue, Redshift, Lambda). Familiarity with transitioning platforms from Azure to AWS. Data Engineering: Building and optimizing data pipelines (ETL/ELT processes). Experience with large-scale data ingestion and transformation. Experience with Agile methodologies


Sponsored
4/18/2025 12:00:00 AM
Yeah! Global
Los Angeles , CA

About the job Data Engineer - Los Angeles Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employers location. Job Summary:Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes. Key Responsibilities: Design, develop, and maintain scalable and efficient data pipelines. Integrate, clean, and organize raw data from various sources into structured formats. Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs. Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency. Optimize database


Sponsored
4/17/2025 12:00:00 AM
Syntricate Technologies
Thousand Oaks , CA

Data Engineer with Pharma Domain Thousand Oaks, CA Contract 3+ years of experience in the data warehouse space •3+ years of experience with one or more programming languages, Python, Scala, or Java. •5+ Experience architecting and building ETL pipelines; Hands-on experience with SQL •Experience with Semantic Layer technologies •Experience with data modelling, performance tuning, and experience on relational and graph databases. •Experience working with Apache Spark, Apache Airflow •Hands-on development experience with Databricks •Experience with Software engineering best-practices, including but not limited to version control, CI/CD, automated testing •Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc.) Regards, shutosh Pasbol ssistant Manager | Syntricate Technologies Inc. Direct: (781)-552-4332| Fax: 781-649-0786 Email: shutosh@syntricatetechnologies.com | Web: www.syntricate


Sponsored
4/17/2025 12:00:00 AM

Check more jobs information at Kik

Job Title Average Kik Salary Hourly Rate
2 Senior iOS Developer $113,184 $54
3 Shipping Specialist $42,624 $20
4 Assistant $55,518 $27
5 Developer $113,801 $55
6 Managing Director $854,394 $411
7 Production and Assembly $36,911 $18
8 Project Manager $117,020 $56
9 Seller $31,665 $15
10 Senior Buyer $92,313 $44
11 Account Manager $81,702 $39
12 Administrative Assistant $53,911 $26
13 Customer Service Manager $101,140 $49

Hourly Pay at Kik

The average hourly pay at Kik for a Data Engineer is $63 per hour. The location, department, and job description all have an impact on the typical compensation for Kik positions. The pay range and total remuneration for the job title are shown in the table below. Kik may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $130,469 look to you?

FAQ about Salary and Jobs at Kik

1. How much does Kik pay per hour?
The average hourly pay is $63. 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 Kik?
According to the data, the highest approximate salary is about $140,464 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 Kik?
According to the data, the lowest estimated salary is about $118,400 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.