Netflix

6 months ago

Data Engineer (L5) - Ads

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Build and expand Netflix’s Ads data products that power inventory, forecasting, targeting, ad serving, and pacing. Own critical parts of the data platform end to end: model tables, develop large-scale batch and streaming pipelines, and deliver high-quality governed data for analytics, ML, and reporting. Partner across Analytics Engineers, Data Scientists, and Software Engineers to strengthen data architecture and privacy-aware processing.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect, strengthen, and expand core Ads data products that scale Netflix’s ads business by integrating data elements from multiple sources.
•Fully own critical portions of Ads data products: model tables and develop large-scale data processing solutions to deliver timely, high-quality data.
•Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that serve analysis, ML, and reporting needs.
•Develop best practices for governance of data sets with sensitive information, including privacy considerations.
•Build collaborative partnerships across data and ML teams to improve data products and delivery.

Pay and Benefits

Salary: USD 380,000 - 610,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid LeaveLife Insurance

Key Requirements

•Strong technical expertise working with data at scale, including advertising data experience (preferred) and privacy-aware building.
•Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks such as Spark, Flink, or Hive/Hadoop.
•Knowledge of data modeling and establishing data architecture across multiple systems.
•Proficiency with SQL plus at least one programming language such as Python, Scala, or Java for data exploration and pipeline development.
•Ability to create clean, understandable code and thrive in ambiguity while partnering with the business to deliver data quality and impact.

Skills:CommunicationAnalytical mindsetData intuitionCollaborationSelf-direction

Tech Stack:PythonScalaJavaSQLSparkFlinkHiveHadoopPrestoBatch processingStream processingAPIs

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

6 months ago

Data Engineer (L5) - Ads

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect, strengthen, and expand core Ads data products that scale Netflix’s ads business by integrating data elements from multiple sources.
•Fully own critical portions of Ads data products: model tables and develop large-scale data processing solutions to deliver timely, high-quality data.
•Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that serve analysis, ML, and reporting needs.
•Develop best practices for governance of data sets with sensitive information, including privacy considerations.
•Build collaborative partnerships across data and ML teams to improve data products and delivery.

Pay and Benefits

Salary: USD 380,000 - 610,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid LeaveLife Insurance

Key Requirements

•Strong technical expertise working with data at scale, including advertising data experience (preferred) and privacy-aware building.
•Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks such as Spark, Flink, or Hive/Hadoop.
•Knowledge of data modeling and establishing data architecture across multiple systems.
•Proficiency with SQL plus at least one programming language such as Python, Scala, or Java for data exploration and pipeline development.
•Ability to create clean, understandable code and thrive in ambiguity while partnering with the business to deliver data quality and impact.

Skills:CommunicationAnalytical mindsetData intuitionCollaborationSelf-direction

Tech Stack:PythonScalaJavaSQLSparkFlinkHiveHadoopPrestoBatch processingStream processingAPIs

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor