Live opening · Posted 26 days ago

Staff Data Platform Engineer

TalentHop · United States (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 26 days ago
CompanyTalentHop
LocationUnited States (Remote)
Salary$200K/yr - $220K/yr · Vision, Medical, Dental, 401(k), +1 benefit
Work modeNo
SourceLinkedin
ListedPosted 26 days ago

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About the role

Description supplied by the original job listing.

This is a Fully Remote Job
About Our Client:
The organization operates in the sports technology industry, focusing on daily fantasy sports across major leagues like the NFL, NBA, and esports titles such as League of Legends and Counter-Strike. It addresses the challenge of integrating diverse sports data to provide dynamic fantasy sports experiences, with a team exceeding 550 employees committed to inclusivity and diverse backgrounds.
About the Opportunity:
The STAFF DATA PLATFORM ENGINEER will design and build a scalable data platform that supports core data engineering, analytics, and machine learning functions. This role is critical for enabling real-time, low-latency data services that enhance key business metrics and platform integrity, contributing directly to the organization's ability to deliver advanced data-driven sports betting and fantasy sports experiences.
Responsibilities:
Architect and develop scalable batch and streaming data platforms.
Build and maintain data catalog and lineage capabilities.
Implement automation, scaling, and robust data security controls.
Develop low-latency real-time data services for streaming use cases.
Ensure continuous deployment, monitoring, and observability of data pipelines.
Achieve and maintain 99.99% platform availability.
Collaborate with product, engineering, and data science teams to operationalize complex data solutions.
Requirements:
8+ years in platform engineering with experience in high-traffic data platforms.
Expertise in streaming architectures such as Kafka, Flink, or PubSub.
Skilled in containerization technologies including Docker and Kubernetes.
Experience with big data tools like Spark, Flink, Kafka, Kinesis, Airflow, OpenMetadata, Iceberg.
Proficient in Python and Go programming languages.
Strong cloud services experience, preferably GCP or AWS.
Excellent communication and stakeholder management skills.
Proven track record of end-to-end project contribution.
Pay Range and Compensation Package:
The typical salary range for this position is $200,000 to $220,000, with final pay dependent on location, skills, experience, and education.
Benefits & Perks:
Company-subsidized medical, dental, and vision insurance plans.
401(k) plan with company match.
Annual bonus.
Flexible paid time off supporting work/life balance.
Generous paid parental leave and disability benefits.
Workplace flexibility and modern scheduling.
Company-wide events and team outings.
Lifestyle enhancement programs.
Provided company equipment (Windows and Mac options).
Annual performance reviews with growth opportunities.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company's career page or ATS.

Work arrangement
No

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