Data Engineer, Product Analytics Job at Meta (Tel Aviv)

Data Engineer, Product Analytics

As a Data Engineer at Meta, you will shape the future of people-facing and busin...

Location

United States , Sunnyvale, CA +4 locations

Salary:

177000.00 - 247000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer)
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Job Responsibility

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

What we offer

bonus
equity
benefits

Data Engineer, Product Analytics

As a Data Engineer at Meta, you will shape the future of people-facing and busin...

Location

United States , Sunnyvale

Salary:

147000.00 - 208000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
4+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer)
4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Job Responsibility

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

What we offer

bonus
equity
benefits

Data Engineer, Product Analytics

As a Data Engineer at Meta, you will shape the future of people-facing and busin...

Location

Israel , Tel Aviv

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
7+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer)
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Job Responsibility

Conceptualize and own the data architecture for multiple large-scale projects
Create and contribute to frameworks that improve the efficacy of logging data
Collaborate with engineers, product managers, and data scientists to understand data needs
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements
Design, build, and launch collections of sophisticated data models and visualizations
Solve our most challenging data integration problems
Assist in owning existing processes running in production
Optimize pipelines, dashboards, frameworks, and systems
Influence product and cross-functional teams to identify data opportunities

Data Engineer, Product Analytics

As a Data Engineer at Meta, you will shape the future of people-facing and busin...

Location

Israel , Tel Aviv

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
4+ years of experience where the primary responsibility involves working with data (e.g., data analyst, data scientist, data engineer)
4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Job Responsibility

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

New

Data Engineer, Product Analytics (University Grad)

As a Data Engineer at Meta, you will shape the future of people-facing and busin...

Location

United States , Bellevue, WA +2 locations

Salary:

99008.00 - 139000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Knowledge of SQL
Programming knowledge in Python
Knowledge of database systems
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
Design, build and launch new data models and visualizations in production, leveraging common development toolkits
Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
Support existing processes running in production and implement optimized solutions with limited guidance
Define and manage Service Level Agreements for data sets in allocated areas of ownership

What we offer

bonus
equity
benefits

Fulltime

Analytics Engineer - Product Analytics

Deel is the all-in-one payroll and HR platform for global teams. Our vision is t...

Location

United Kingdom; Germany; Portugal; Canada; Spain; Italy; Estonia; Brazil; Argentina

Salary:

Not provided

Deel

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics)
At least 3 years of experience in a similar data analytics engineering or BI development role
Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts
Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker, Tableau, or similar)
Basic programming skills in Python or a similar language for data processing and automation
Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines
Good communication skills, with the ability to collaborate with technical and non-technical team members

Job Responsibility

Design, develop, and maintain data models (e.g., in dbt) that align with the overall data architecture and business requirements
Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis
Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed
Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate
Work closely with data analysts and other analytics engineers to ensure consistency and accuracy in metrics and definitions across the team
Contribute to team processes by occasionally leading portions of meetings or sharing improvements to analytics workflows

What we offer

Stock grant opportunities dependent on your role, employment status and location
Additional perks and benefits based on your employment status and country
The flexibility of remote work, including optional WeWork access

Fulltime

Analytics Engineer, Product Analytics

As an Analytics Engineer at Airtable, you’ll play a pivotal role in shaping our ...

Location

United States , San Francisco; New York City

Salary:

143600.00 - 177200.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or a related field (or related experience)
3–5 years of experience working with data, with at least 1 year partnering with product stakeholders
Curiosity and fluency with AI/LLM tools (ChatGPT, Claude, Cursor, etc.)
Experience in SaaS, consumer tech, or data-driven product environments
Proficiency with SQL and data modeling best practices (e.g., dbt, Databricks, Snowflake, BigQuery)
Experience with BI tools and BI modeling best practices (e.g., Looker, Omni Analytics, Tableau, Mode, Hex)
Understanding of user funnels, retention metrics, and growth analytics
Strong ability to ensure data accuracy, reliability, and consistency
Ability to translate business questions into analytical approaches, interpret results, and communicate actionable insights
Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and event taxonomy design

Job Responsibility

Own and maintain core product data pipelines across tools such as dbt, Databricks, Looker, and Omni Analytics, ensuring reliability and scalability
Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas
Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports
Establish trusted partnerships with product managers, engineers, analysts, and leadership, serving as the go-to resource for product data insights and technical guidance
Lead analytics engineering efforts for high-impact product launches, including documentation of tracking plans, launch pipelines, and post-launch reporting
Participate in or lead cross-functional projects where analytics engineering contributions directly influence product strategy decisions

What we offer

Restricted stock units
Incentive compensation
Comprehensive benefits package

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

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Data Engineer, Product Analytics

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