
501 - 1000 employees
âď¸ SaaS
đą Media
đĽ HR Tech
đ° Private equity on 2013-03
SaaS ⢠Media ⢠HR Tech
Cast & Crew is a provider of cloud-based software and services that support the full production lifecycle for the entertainment industry. The company offers production accounting and AP software (PSL+), digital onboarding and timekeeping tools (Start+, Hours+), collaboration and content tools (Studio+), reporting/data integrations, and a full-service payroll and financial services suite including residuals, workers' compensation, tax-incentive guidance, and related production HR resources. Cast & Crew serves film, television, streaming and live entertainment productions, delivering B2B SaaS products plus specialized payroll and workforce support for production employers and crews.
đĽ 12 minutes ago
đşđ¸ United States â Remote
đľ $135k - $165k / year
â° Full Time
đ Senior
đ° Data Engineer
đť Ghost score 0%
Airflow
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
DynamoDB
ElasticSearch
ETL
Kafka
MongoDB
MySQL
NoSQL
Postgres
Python
Spark
SQL
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501 - 1000 employees
âď¸ SaaS
đą Media
đĽ HR Tech
đ° Private equity on 2013-03
SaaS ⢠Media ⢠HR Tech
Cast & Crew is a provider of cloud-based software and services that support the full production lifecycle for the entertainment industry. The company offers production accounting and AP software (PSL+), digital onboarding and timekeeping tools (Start+, Hours+), collaboration and content tools (Studio+), reporting/data integrations, and a full-service payroll and financial services suite including residuals, workers' compensation, tax-incentive guidance, and related production HR resources. Cast & Crew serves film, television, streaming and live entertainment productions, delivering B2B SaaS products plus specialized payroll and workforce support for production employers and crews.
⢠Design, build, and operate scalable data platforms supporting mission-critical applications, analytics, reporting, and AI-driven solutions ⢠Build reliable, cloud-native data pipelines that ingest, transform, secure, and serve operational data ⢠Enable modern analytics, AI workloads, and real-time event processing across structured and semi-structured data ⢠Collaborate with software engineers, platform engineers, product teams, and data consumers ⢠Build enterprise-scale data ingestion and transformation pipelines ⢠Build cloud-native data platforms supporting analytics and operational workloads ⢠Build real-time event-driven data processing solutions ⢠Develop data models supporting reporting, AI, and customer-facing applications ⢠Create secure, scalable integrations between enterprise systems ⢠Automate monitoring, testing, and deployment pipelines for data infrastructure ⢠Operate production data platforms with observability, testing, and automation ⢠Continuously improve engineering productivity through AI-assisted development and automation
⢠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 with relational databases (PostgreSQL, MySQL, Aurora) ⢠Experience 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 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 ⢠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
⢠Medical ⢠Dental ⢠Vision ⢠PTO ⢠Health and wellness programs ⢠Employee discounts
Apply NowđĽ 20 minutes ago
Senior Data Engineer building scalable cloud-native data platforms for Cast & Crewâs entertainment technology and services business. Powering analytics, AI, reporting, and real-time production workflows.
đşđ¸ United States â Remote
đľ $135k - $165k / year
đ° Private equity on 2013-03
â° Full Time
đ Senior
đ° Data Engineer
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