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Dse Jobs (NOW HIRING)

Netflix

Analytics Engineer 5 - Content Finance DSE

$330K - $566K/yr

The Content Finance DSE team is the analytical backbone of that ecosystem. We build the data products, metrics, and insights that power how Netflix allocates content budgets, tracks production ...

Netflix

OR · On-site

$330K - $566K/yr

The Content Finance DSE team is the analytical backbone of that ecosystem. We build the data products, metrics, and insights that power how Netflix allocates content budgets, tracks production ...

Vrtx

Vertex Fall Co-op 2026, AI and Governance

Boston, MA · On-site

$17 - $21.50/hr

G&A Data Engg pod, DSE BA's, DSE Engg governance team, DSE Leadership team * Driving Data Governance Initiatives : * Support data cataloging efforts by partnering with business teams to organize and ...

Snowflake

RVP, Priority Support Engineering

New York, NY · On-site

$245K - $321K/yr

The RVP leads both the DSE team and customer engagements through AI-augmented ways of working, using AI to anticipate workload risk, scale proactive advisory, and surface insights at a depth and ...

Apex Systems

DSE Integrations Backfill

Scottsdale, AZ · On-site

$105K - $141K/yr

Job#: 3039983 Data Solutions Engineer Location: Remote Role Overview The Data and Integrations Team is seeking a Data Solutions Engineer II to create and maintain pipelines on a data integration ...

New

Netflix

OR · On-site

$466K - $750K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative ...

Netflix

Machine Learning Scientist 5 - Games

$466K - $750K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative ...

Netflix

Machine Learning Scientist 5 - Games

$466K - $750K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative ...

DomainTools

Senior Distributed Systems Engineer

Pittsburgh, PA · On-site +1

$101K - $138K/yr

A Sr. DSE is an experienced technologist adept at systems design, prototyping / proof of concept development, and developing and deploying production quality systems and code. As a Sr. DSE, you will ...

Netflix

Data Scientist (L5) - Ads (Measurement)

The Ads DSE Measurement Team is responsible for building audience insights and measurement solutions from the ground up. We partner closely with the campaign performance and effectiveness teams, as ...

DomainTools

Senior Distributed Systems Engineer

Pittsburgh, PA · Remote

$101K - $138K/yr

A Sr. DSE is an experienced technologist adept at systems design, prototyping / proof of concept development, and developing and deploying production quality systems and code. As a Sr. DSE, you will ...

DomainTools

Senior Distributed Systems Engineer

Austin, TX · Remote

$103K - $141K/yr

A Sr. DSE is an experienced technologist adept at systems design, prototyping / proof of concept development, and developing and deploying production quality systems and code. As a Sr. DSE, you will ...

DomainTools

Senior Distributed Systems Engineer

Raleigh, NC · Remote

$101K - $139K/yr

A Sr. DSE is an experienced technologist adept at systems design, prototyping / proof of concept development, and developing and deploying production quality systems and code. As a Sr. DSE, you will ...

DomainTools

Senior Distributed Systems Engineer

Atlanta, GA · Remote

$100K - $137K/yr

A Sr. DSE is an experienced technologist adept at systems design, prototyping / proof of concept development, and developing and deploying production quality systems and code. As a Sr. DSE, you will ...

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What is a DSE (Data Science Engineer)?

A Data Science Engineer (DSE) is a professional who combines expertise in software engineering with data science skills to design, develop, and maintain scalable data solutions. DSEs often build data pipelines, implement machine learning algorithms, and ensure the infrastructure supports efficient data processing and analysis. They bridge the gap between data scientists, who focus on deriving insights, and engineers, who develop robust systems. DSEs work with large datasets, use programming languages like Python or Scala, and leverage big data technologies such as Spark or Hadoop. Their role is critical in transforming raw data into actionable insights for organizations.

What are some typical challenges faced by a DSE (Direct Sales Executive) when meeting sales targets, and how can they be overcome?

Direct Sales Executives often encounter challenges such as reaching out to new customers, overcoming objections, and meeting ambitious sales quotas in competitive markets. Building strong communication skills and resilience is essential for effectively handling rejection and negotiating deals. Leveraging CRM tools, collaborating closely with marketing teams, and staying updated on product knowledge can help DSEs identify new opportunities and close sales more efficiently. Regular feedback from sales managers and ongoing training also support continuous improvement and success in this role.

What are the key skills and qualifications needed to thrive as a DSE (Direct Sales Executive), and why are they important?

To thrive as a Direct Sales Executive, you need strong sales acumen, product knowledge, and a proven track record in meeting sales targets, typically supported by at least a bachelor's degree in business or a related field. Familiarity with CRM software, sales automation tools, and reporting systems is often required. Exceptional communication, negotiation, and relationship-building skills set top performers apart in this role. These skills are essential for effectively identifying prospects, closing deals, and driving business growth.
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Infographic showing various Dse job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Analytics Engineer 5 - Content Finance DSE

Analytics Engineer 5 - Content Finance DSE

Netflix

Remote

$330K - $566K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

58th of 67 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
Netflix isn't just a product - it's a global entertainment engine. We create original shows and films, license stories from around the world, and invest billions in content every year. Behind all of that is a sophisticated financial ecosystem: FP&A, content planning, production finance, and more. These teams rely on timely, trustworthy data to decide what we make, where we invest, and how we shape the future of Netflix.
The Content Finance DSE team is the analytical backbone of that ecosystem. We build the data products, metrics, and insights that power how Netflix allocates content budgets, tracks production finance, and steers long-term content investment strategy. We're looking for a Senior Analytics Engineer to join our team - someone who combines deep technical craft with strong business partnership and a product mindset.
In this role, you will:
  • Be a strategic partner to Content Finance stakeholders - CFP&A, content planning, production finance, and content accounting - identifying impactful analytical problems and delivering data solutions that drive better decisions
  • Own business-critical data products end-to-end: from metric definition and data modeling to documentation, testing, and ongoing reliability
  • Champion a "data as a product" mindset - setting the standard for robust documentation, testing, and model design that makes data easy to understand, trust, and extend
  • Design and maintain core metrics and semantic models that power planning cycles, forecasting, and executive reporting
  • Drive root-cause analysis on data issues and workflow gaps - asking "why" to understand the drivers and proactively improve pipelines, models, and definitions
  • Partner cross-functionally with Data Engineering, Finance, Data Science, and downstream consumers to define the future vision for key finance data products
  • Mentor and uplevel teammates, sharing best practices in analytics engineering, code quality, and product-minded data development
  • Leverage AI tools (e.g., Claude Code, Cursor, MCP servers) to accelerate development and share learnings with the team

About you:
  • 8+ years of experience in analytics or data engineering, ideally in high-stakes, business-critical data environments
  • Expert in SQL; proficient in Python for data wrangling, scripting, and pipeline work
  • Strong data modeler with experience designing scalable, future-proof models that serve multiple stakeholders and use cases
  • Familiarity with DBT or other semantic modeling tools; experience with workflow orchestration
  • You have a "data product owner" mindset - you think beyond the pipeline to the end user, the decision they need to make, and how the data product unlocks value
  • Exceptional communication skills; comfortable presenting methodology and findings to both technical and non-technical partners, including executive leadership
  • Proven ability to drive cross-functional alignment on metric definitions and data standards in a matrixed organization
  • Comfortable operating in ambiguity; a self-starter who takes ownership and drives projects forward with minimal oversight
  • Curious and open to leveraging GenAI and emerging AI tools where they create durable value
  • Netflix culture resonates with you

Nice to have:
  • Experience working with financial datasets, FP&A workflows, or content finance systems
  • Experience with big data technologies (Spark, Iceberg) and lakehouse architectures
  • Familiarity with LookML or other semantic layer tools

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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