About the role
About Us
At Cast & Crew, we’ve empowered creativity and supported the global entertainment industry for decades. Together with our family of brands - Backstage, CAPS, Checks & Balances, Final Draft, Media Services, Sargent-Disc, and The TEAM Companies – we operate as a combined entertainment technology and services provider offering industry standard screenwriting accounting software, digital payroll products, data & reporting, and a host of creative tools. The industry continues to move faster than ever, and the need for our expertise, our technology, and our people has never been greater. We are a production’s best ally every step of the way. #OneCastOneCrew
At Cast & Crew, engineers own the systems they build and operate. Our platforms support mission-critical workflows across the entertainment industry, where reliability, scalability, and accountability matter. We hire engineers who take ownership, solve problems end-to-end, automate wherever possible, and continuously raise the bar for engineering excellence.
Summary
Cast & Crew is seeking an experienced Senior Data Engineer to design, build, and operate scalable data platforms that power mission-critical applications, analytics, reporting, and AI-driven solutions across the entertainment production ecosystem.
This role focuses on building reliable, cloud-native data pipelines that ingest, transform, secure, and serve operational data for internal engineering teams, business intelligence, and customer-facing applications. You will work across structured and semi-structured data, enabling modern analytics, AI workloads, and real-time event processing.
You will collaborate closely with software engineers, platform engineers, product teams, and data consumers while leveraging AI-assisted development tools to accelerate delivery and improve engineering productivity.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field
5+ years of experience building production data platforms and pipelines
Strong Python development experience
Strong SQL development and query optimization skills
Experience designing and maintaining ETL/ELT pipelines
Experience working with relational databases (PostgreSQL, MySQL, Aurora)
Experience working with NoSQL databases (DynamoDB, MongoDB, document databases)
Experience building data lakes and cloud-native data architectures
Experience with Snowflake, BigQuery, Redshift, or similar cloud data warehouses
Experience with AWS cloud services including S3, Lambda, EventBridge, DynamoDB, ECS/EKS, and IAM
Experience building event-driven and streaming data solutions
Experience working with Kafka, SNS/SQS, Kinesis, or similar messaging technologies
Experience with data orchestration tools such as Airflow, Prefect, or Dagster
Experience with Git and modern CI/CD pipelines (Azure DevOps, GitHub Actions, or similar)
Experience building highly available, scalable production systems
Strong understanding of data modeling, partitioning, indexing, and performance optimization
Experience monitoring and operating production data platforms
Nice to Have
Experience with Apache Spark or distributed processing frameworks
Experience with Debezium, CDC, or change data capture architectures
Experience with Iceberg, Delta Lake, or modern lakehouse technologies
Experience with OpenSearch or Elasticsearch
Experience supporting AI and machine learning data platforms
Experience building feature stores or vector databases
Experience with document processing (OCR, Textract, PDF extraction)
Experience in media, payroll, financial systems, or enterprise SaaS platforms
Experience using AI-assisted development tools such as Claude Code or GitHub Copilot
What You Will Build
Enterprise-scale data ingestion and transformation pipelines
Cloud-native data platforms supporting analytics and operational workloads
Real-time event-driven data processing solutions
Data models supporting reporting, AI, and customer-facing applications
Secure, scalable integrations between enterprise systems
Automated monitoring, testing, and deployment pipelines for data infrastructure
What Success Looks Like
Highly reliable and scalable production data pipelines
High-quality, trusted data powering operational and analytical systems
Low-latency, automated data movement across enterprise platforms
Engineering best practices including automation, observability, and testing
Strong collaboration with software engineering and platform teams
Continuous improvement through AI-assisted development and automation
Special Work Conditions
Sedentary – Involves sitting most of the time but may involve walking or standing for brief periods of time. Some positions may entail exerting up to 15 lbs. of force occasionally and/or a negligible amount of force to lift, carry, push, or pull.
What We Offer
Cast & Crew provides a comprehensive package of employee benefits including: Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more! Note: Cast & Crew benefits are subject to eligibility requirements.
Cast & Crew is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
CA residents
Your personal information may be collected in connection with certain services provided by Cast & Crew or its affiliated companies. A summary of your California privacy rights can be found at:
Compensation is commensurate with various factors including, but not limited to, relevant experience, qualifications, skills, training, licensure, certifications, geographic cost of labor, and other business and organizational needs. Compensation range for candidates in other locations may differ based on the cost of labor in that location. The compensation range for this position is: $135,000.00 - $165,000.00 per year.Originally posted on Himalayas