Senior Data Engineer

Job not on LinkedIn

🕒 6 days ago

🇺🇸 United States – Remote

💵 $135k - $165k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Cast & Crew

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Private equity on 2013-03

Consulting • Healthcare • Logistics

Cast & Crew is a provider of cloud-based software and professional services that support the full lifecycle of film, television, streaming and live-event productions. They offer production accounting, payroll and HR, timekeeping, digital onboarding, content and asset collaboration, reporting/analytics, and industry-specific services such as tax incentives guidance, workers' compensation, residuals, and financing. Cast & Crew serves production companies and entertainment businesses with B2B SaaS solutions and managed services to streamline workflows and ensure compliance across global productions.

📋 Description

• Design, build, and operate scalable data platforms for 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 • Leverage AI-assisted development tools to accelerate delivery and improve engineering productivity • Build enterprise-scale data ingestion and transformation pipelines • Build cloud-native data platforms supporting analytics and operational workloads • Develop real-time event-driven data processing solutions • Create data models supporting reporting, AI, and customer-facing applications • Build secure, scalable integrations between enterprise systems • Automate monitoring, testing, and deployment pipelines for data infrastructure • Ensure reliable, scalable production pipelines and trusted data • Improve low-latency data movement, observability, testing, automation, and engineering practices

🎯 Requirements

• 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, including PostgreSQL, MySQL, and Aurora • Experience with NoSQL databases, including DynamoDB, MongoDB, and document databases • Experience building data lakes and cloud-native data architectures • Experience with Snowflake, BigQuery, Redshift, or similar cloud data warehouses • Experience with AWS 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 Airflow, Prefect, or Dagster • Experience with Git and modern CI/CD pipelines, including Azure DevOps or GitHub Actions • Experience building highly available, scalable production systems • Strong understanding of data modeling, partitioning, indexing, and performance optimization • Experience monitoring and operating production data platforms

🏖️ Benefits

• Medical • Dental • Vision • PTO • Health and wellness programs • Employee discounts