Data Engineer – Self Service Analytics, Real Time Data Platforms

Paramount

Data Engineer developing scalable data products and real-time platforms for Paramount. Designing and implementing data solutions that enable self-service access to data.

Posted 6/23/2026full-timeBurbank • California • 🇺🇸 United StatesJuniorMid-Level💰 $99,000 - $147,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowETLKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Help build scalable data products, semantic layers, and real-time data platforms
Develop solutions that power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences
Design, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines
Enable self-service analytics through governed and reusable business data models
Implement monitoring, observability, and operational best practices
Develop governed data access patterns for AI, conversational analytics, and MCP-based applications
Build AI-ready data products that support machine learning, GenAI, AI agents, and chatbot applications
Partner with Product, Analytics, BI, and Engineering stakeholders to deliver trusted data solutions
Design scalable data models optimized for analytics, real-time reporting, and AI use cases
Drive best practices for data quality, governance, metadata, and discoverability

Requirements

What you’ll need

2–4+ years of experience building and scaling ETL/ELT pipelines in production environments
Proven experience with workflow orchestration tools such as Airflow, Composer, or similar platforms
Working knowledge of distributed data processing concepts
Expert-level SQL skills for large-scale transformation and analytics
Experience designing scalable warehouse schemas and ML-ready data layers
Proven experience optimizing complex queries across multi-terabyte datasets
Proficiency in Python (or similar language) for data processing and ML pipeline integration
Experience with distributed processing frameworks such as Spark
Experience integrating data pipelines with ML platforms such as Vertex AI (preferred), Databricks ML, or equivalent
Experience building real-time data pipelines using Kafka, Pub/Sub, or similar technologies
Knowledge of feature streaming, low-latency data processing, and event-driven architectures
Excellent problem-solving skills with the ability to work in dynamic, high-velocity environments
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Benefits

Comp & perks

medical
dental
vision
401(k) plan
life insurance coverage
disability benefits
tuition assistance program
PTO
bonus eligible

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLELTSQLPythonSparkKafkaPub/Subdata modelingdata processingmachine learning

Soft Skills

problem-solvingcollaborationadaptabilitycommunicationanalytical thinkingattention to detailtime managementcritical thinkingcreativityteamwork

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Engineering