AmazonData Engineer, Studios Analytics
Amazon is hiring a Data Engineer, Studios Analytics in Culver City, United States. It pays $132k-$179k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include SQL, ETL and Elt.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Build and own data pipelines and models to power content performance reporting and analytics for Amazon MGM Studios.
We are looking for a Data Engineer to join a dedicated, LA-based Studios Analytics team embedded alongside Amazon MGM Studios leadership. Reporting to the Senior Manager of Studios Analytics, you will build and own the data pipelines and models that power content performance reporting and the products Studios leaders rely on daily. You will own foundational content performance datasets end-to-end — turning a historically fragmented, dependency-heavy data landscape into trusted, single-threaded, well-governed data products.
This is a hands-on data engineering role at the heart of a deliberate structural change: bringing the content performance data and the products that surface it under one team, removing cross-team dependencies, and enabling faster iteration for Studios stakeholders.
Key job responsibilities
- Build, optimize, and own data pipelines (ETL/ELT) and logical/physical data models for content performance datasets that serve as the source of truth for title-level launch KPIs.
- Own ongoing data quality, monitoring, and SLAs for your datasets, ensuring reporting surfaced in applications is accurate, timely, and trusted by Studios leadership.
- Take single-threaded ownership of the data behind the content performance products enabling the team to prioritize and deliver data changes independently.
- Partner with BIEs, product development, and the financial reporting team to deliver integrated title-level and portfolio-level data (including feeds into web applications and downstream reporting).
- Consume upstream governed data (e.g., P&L from the Economics team) correctly and consistently, upholding metric governance so definitions remain consistent across Prime Video.
- Automate manual and ad-hoc data processes, build tooling for data lineage, quality, and discoverability, and reduce operational toil.
- Contribute to design reviews, data modeling decisions, and technical trade-offs, leaving data solutions better and easier to maintain than you found them.
- Enable self-service access to underlying content data for analysts and BIEs, minimizing bottlenecks.
About the team
This role sits on a newly-expanded LA Studios Analytics team embedded with Studios but part of the broader 40+ person central Prime Video Finance Analytics organization. This structure is deliberate: you'll have the proximity of a small, focused team partnering directly with Studios VPs and Strategy, with the leverage of shared central infrastructure, governed data, and a dedicated AI enablement function behind you.
Basic qualifications
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 3+ years of data engineering experience
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience in building analytic or scientific data products or solutions
- Experience building data pipelines or automated ETL processes
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience working with data warehousing, data quality
Preferred qualifications
- Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- 6+ years of business intelligence and analytics experience
- Experience in digital media or marketing strategy, data analysis, analytics & visualization
- Familiarity with data governance, lineage, and metadata management practices.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Culver City - 132,100.00 - 178,800.00 USD annually
How we rate this
Data Engineer, Studios Analytics at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $132k
- Typical data engineer job
- $149k
This posting starts 12% below the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where pipeline optimization was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Modeling, Pipeline Optimization, Data Quality, and Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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