Data Engineer, Offline Identity (Open to Remote)
Conway, AR
$48K - $105K (Glassdoor Est.)
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Rating Highlights
Compensation & Benefits: 3.6
Culture & Values: 4.1
Career Opportunities: 3.9
Work/Life Balance: 4.1
Job & Company Insights
Job Type: Full-time
Job Function: data engineer
Industry: Business Service
Size: 1001 to 5000 Employees

General information

Agency: Kinesso

Job Function: Technology

Location: Conway, United States

Job Ref#: 1195

Description & Requirements

Position Summary

We are seeking a Data Engineer to join our identity engineering team.

In the ever-evolving world of ad tech and marketing, Kinesso operates at the forefront of meeting the needs of many of the world’s most compelling brands. Kinesso is building an agile team of exceptional engineers and data scientists based out of Conway, Arkansas. If you are interested in pushing the limits of existing technologies, developing best-in-class data products, and scaling applications globally, we would love to hear from you.

Job Responsibilities

  • Actively participate in the product development process as a member of the scrum team
  • Discuss technical solutions with the development team, communicate goals and facilitate execution.
  • Work with product team to identify and build scalable data pipelines, for consumption by downstream clients.
  • Develop and maintain data pipelines for processing large data flows.
  • Create monitoring and KPIs for data pipelines.
  • Participate in coding and contribute to the codebase.
  • Coordinate with QA team members and work together to achieve automated testing in support of continuous delivery capabilities.
  • Perform code reviews and provide feedback to developers.

Desired Skills & Experience
  • Experience with advanced SQL query construction and performance tuning
  • Experience with building ETL data pipelines using any toolset
  • Experience with Spark, Hadoop, map-reduce and distributed computing highly desired
  • Experience with Java, Python, or Scala in the construction of data pipelines highly desired
  • Experience with agile methodologies
  • Experience with using Snowflake, Redshift, and other large scale data warehousing tools - bonus
  • Experience with EMR, glue on AWS cloud infrastructure - bonus
  • Experience with Jenkins - bonus
  • Understanding of online and offline advertising landscape and technologies - bonus
  • Experience with practical Machine Learning applications - bonus

Employment Transparency
It is the policy of Kinesso, division of the Interpublic group, to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Kinesso, please email

About Us

Kinesso brings together the best minds in data, technology and media activation to deliver seamless data-driven marketing solutions. As a technology-enabler, Kinesso powers marketing systems through a proprietary suite of applications that integrate ad tech and martech. Kinesso’s application framework spans audience, planning, and activation, delivering insights and business outcomes for leading global brands.
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