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Lead Data Engineer

  • Lead Data Engineer job type Posted on: Oct 14, 2026
  • Lead Data Engineer experience level Openkyber
  • Lead Data Engineer employment type Atlanta, Georgia
  • Lead Data Engineer salary Salary: $147,600 per year
  • Lead Data Engineer employment type Onsite
  • Lead Data Engineer salary Full-time

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Job Title :

Lead Data Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

#WeAreParamount on a mission to unleash the power of content... you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

Overview:

The Data Engineering team is seeking a Data Engineer - Self-Service Analytics & Real-Time Data Platforms. In this role, you will help build scalable data products, semantic layers, and real-time data platforms. These platforms enable trusted, governed, and self-service access to data. You will develop solutions that power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences.

Key Responsibilities:
  • Design, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines processing large-scale datasets.
  • Develop semantic layers, metrics frameworks, and curated data products enabling self-service analytics.
  • Implement monitoring, observability, and operational best practices.
  • Build AI-ready data products supporting machine learning, GenAI, AI agents, and chatbot applications.
  • Collaborate with Product, Analytics, BI, and Engineering stakeholders for trusted data solutions.
Technical Skills Required:
  • 2-4+ years experience building ETL/ELT pipelines; expertise in Airflow, Composer.
  • Expert-level SQL for large-scale transformation and analytics.
  • Proficiency in Python or similar, and distributed processing with Spark.
  • Experience with real-time data pipelines (Kafka, Pub/Sub) and dashboards (Superset).
  • Familiarity with cloud-native architectures, especially Google Cloud Platform.
Qualifications:
  • Bachelor's or Master's degree in CS, Engineering or related field.
  • Solid foundation in modern data engineering, distributed systems, cloud architectures.
  • Strong problem-solving skills and ability to work in fast-paced environments.

Paramount Streaming, part of Paramount Global, leads direct-to-consumer services including Pluto TV and Paramount+ with extensive streaming content and services.

Hiring Salary Range: $98,400.00 - $147,600.00, dependent on factors including location, experience, and education. Benefits include medical, dental, vision, 401(k), life insurance, disability, tuition assistance and PTO. Bonus eligible.

Paramount is an equal opportunity employer committed to inclusion and diversity. Reasonable accommodations available on request.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

93642-38381

Employment:

Full-time

Salary:

$147,600 per year

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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#WeAreParamount on a mission to unleash the power of content... you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

Overview:

The Data Engineering team is seeking a Data Engineer - Self-Service Analytics & Real-Time Data Platforms. In this role, you will help build scalable data products, semantic layers, and real-time data platforms. These platforms enable trusted, governed, and self-service access to data. You will develop solutions that power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences.

Key Responsibilities:
  • Design, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines processing large-scale datasets.
  • Develop semantic layers, metrics frameworks, and curated data products enabling self-service analytics.
  • Implement monitoring, observability, and operational best practices.
  • Build AI-ready data products supporting machine learning, GenAI, AI agents, and chatbot applications.
  • Collaborate with Product, Analytics, BI, and Engineering stakeholders for trusted data solutions.
Technical Skills Required:
  • 2-4+ years experience building ETL/ELT pipelines; expertise in Airflow, Composer.
  • Expert-level SQL for large-scale transformation and analytics.
  • Proficiency in Python or similar, and distributed processing with Spark.
  • Experience with real-time data pipelines (Kafka, Pub/Sub) and dashboards (Superset).
  • Familiarity with cloud-native architectures, especially Google Cloud Platform.
Qualifications:
  • Bachelor's or Master's degree in CS, Engineering or related field.
  • Solid foundation in modern data engineering, distributed systems, cloud architectures.
  • Strong problem-solving skills and ability to work in fast-paced environments.

Paramount Streaming, part of Paramount Global, leads direct-to-consumer services including Pluto TV and Paramount+ with extensive streaming content and services.

Hiring Salary Range: $98,400.00 - $147,600.00, dependent on factors including location, experience, and education. Benefits include medical, dental, vision, 401(k), life insurance, disability, tuition assistance and PTO. Bonus eligible.

Paramount is an equal opportunity employer committed to inclusion and diversity. Reasonable accommodations available on request.

For applications and inquiries,

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