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Staff Data Engineer (Scala\Spark)

CyberCoders

Seattle (WA)

Remote

USD 160,000 - 200,000

Full time

11 days ago

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Job summary

An innovative startup in the AdTech space seeks a Staff Data Engineer to design and implement robust data infrastructure. This remote-first company offers an exciting opportunity to work with top-notch professionals, building core data pipelines and optimizing AWS resources. You'll collaborate closely with cross-functional teams and the Data Science group to ensure timely delivery of scalable solutions. If you're passionate about data engineering and want to make a significant impact in a dynamic environment, this role is perfect for you!

Benefits

100% Remote work

Medical, Dental, Vision Benefits

401k

Flexible PTO

Equity with tremendous UPSIDE

Qualifications

5+ years of experience in data engineering.
Proven experience building data infrastructure using Spark with Scala.

Responsibilities

Design and implement robust data infrastructure using Spark with Scala.
Collaborate with teams to design data solutions that meet business needs.

Skills

Spark

Scala

SQL

AWS

Education

Bachelor's degree in Computer Science

Tools

AWS

1 week ago Be among the first 25 applicants

This range is provided by CyberCoders. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $200,000.00/yr

Job Title: Staff Data Engineer

Location: Remote USA

Salary: $160,000 - $200,000 DOE

Requirements: Spark, Scala, Computer Science Degree or Related Field

We are a fully funded startup in the AdTech space. We are a remote first company, as well. This role will be designing and implementing robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to build out our core data pipelines in Spark & Scala.

Top Reasons to Work with Us

100% Remote-first Company
Recently received Funding
Work with Top Notch People

What You Will Be Doing

Design and implement robust data infrastructure using Spark with Scala.
Collaborate with our cross-functional teams to design data solutions that meet business needs.
Build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models.
Leverage and optimize AWS resources.
Collaborate closely with the Data Science team.
Successful design and implementation of scalable and efficient data infrastructure.
Timely delivery and optimization of ETL processes.
Seamless integration with Data Science for machine learning pipelines.

What You Need for this Position

5+ yrs of experience in data engineering.
Proven experience building data infrastructure using Spark with Scala.
Familiarity with data lakes, cloud warehouses, and storage formats.
Strong proficiency in AWS services.
Expertise in SQL for data manipulation and extraction.
Bachelor's degree in Computer Science or a related field.

What's In It for You

Competitive Compensation
Equity with tremendous UPSIDE (you are still early enough)
100% REMOTE work
Medical, Dental, Vision Benefits
401k
VERY Flexible PTO

Benefits

Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:

Email Your Resume In Word To

taylor.mcalister@cybercoders.com

Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : TM4-1849219L836 -- in the email subject line for your application to be considered.***

Taylor McAlister - Sr. Executive Recruiter

For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

This job was first posted by CyberCoders on 04/16/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.

CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Advertising Services

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