Data Engineer - Data & Analytics (Backstage)

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

About Backstage

Backstage is the largest talent marketplace for the entertainment industry, media, brand marketers, and other content creators, matching their creative projects with the best actors, voiceover artists, production crew, and other industry professionals. Employers around the world use our best-in-class technology to staff over 50,000 creative projects a year in film, television, commercials, branded content, theater, experiential marketing, and more.

The Role:

Backstage is seeking a Data Engineer - Data & Analytics with experience in marketplace ecosystems and a passion for transforming raw data into actionable, scalable solutions. You will joining our data team, which currently includes a Data Engineer, a Data Scientist, and a Senior Manager, Business Intelligence. The data team is part of the larger Product and Engineering department, which consists of high-performance engineers, designers, product managers, analysts, and quality assurance resources. We value curiosity, trust, and impact, and we foster a culture of constant learning and improvement where teammates work together to accomplish user-focused initiatives in a supportive, democratic, open, and respectful environment. Our teams are experienced, nimble, collaborative and considerate. We go out of our way to make opportunities for everyone to learn and build new skills.

The data team supports seven businesses within TCS, applying a unified data strategy across all of them. Our data engineering efforts are dedicated to strengthening core data assets that drive business decisions, power marketing operations, enable product customization, and make our products smarter for customers. Every month, we bring together all GMs and key cross-functional stakeholders for a data roadmap meeting, where we collaboratively prioritize the most valuable work for the organization. This process ensures that the projects you work on are always high-impact, aligned with current business needs, and built on a data strategy that delivers continuous, reusable value over the long term.

As our Data Engineer - Data & Analytics, you will design and maintain robust data pipelines, harmonize multimodal data into a unified ontological layer, and partner with cross-functional teams to drive data-driven decision-making. Your work will directly enable AI innovation, revenue optimization, and operational excellence. A major component of this role will include tying behavioral and web metrics to revenue and retention.

The Data Engineer - Data & Analytics will report to Backstage’s Senior Manager, Business Intelligence.

What You’ll Do:

Build, optimize, and maintain dbt-based data transformation pipelines in Redshift and PostgreSQL to ensure scalability, reliability, and performance

Harmonize data from disparate systems (e.g., transactional databases, third-party APIs, event streams) into a unified ontological layer for use by data scientists and AI developers

Implement CI/CD practices and version control (e.g., Gitlab) for analytics codebases to ensure reproducibility and collaboration

Develop pipelines capable of reverse extraction and integrate data into martech tools (e.g., Hightouch)

Work with session-level data to support user journey analysis, attribution modeling, and behavioral analytics

Delivering data in ways that inspire action and keep stakeholders engaged over time

Ensure data quality, lineage, and transparency through automated testing, monitoring, and documentation

Advocate for software engineering best practices: modular code, unit testing, and clear documentation

Partner with product, finance, and marketing teams to translate business opportunities into data model requirements

Support the analytical needs of the marketing team by designing and maintaining data models and dashboards that enable campaign measurement, segmentation, and ROI analysis

Use BI tools (Looker, Tableau) to create dashboards that communicate insights to non-technical stakeholders

What we’re looking for from you:

8+ years related experience in data engineering, operations or analytics supporting customer service and/or experience

Hands-on experience working with a modern analytics tech stack (e.g., Looker, Amplitude, DBT, Fivetran, Stitch)

Proven track record of building pipelines for multimodal data integration and reverse extraction

Experience with CI/CD pipelines, version control, and DevOps principles for analytics

Strong understanding of data modeling, ontology design, and collaboration with AI/ML teams

Excellent communication skills to translate technical concepts for business audiences

Exceptional SQL skills; you are able to transform data using SQL, with a strong preference on experience with dbt

Deep understanding of how to build automatic alerting and testing on dashboards; data governance on the metrics you deliver will also be critical

Ability to develop an in depth understanding of our ETL processes

Understanding of subscription and digital marketing conversion metrics

Experience with web event collection and reporting, preferably in Amplitude

Familiarity with SaaS metrics, attribution modeling, web event tracking; understanding of metric trees is also important

Empathy and curiosity; you like to understand stakeholders’ needs and derive satisfaction from building dashboards that tell a story

Excellent communication and interpersonal skills; ability to distill technical language to technical and non-technical audiences

Positive attitude and comfort with collaborating in a remote setting

Proactive, autonomous, and organized, with solid time and project management skills

Desire to learn and grow in a culture of candid feedback and healthy debate

Passion for using data to solve business problems

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.

Benefits

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 - $155,000.00 per year.

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