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Staff Data Engineer

Mumbai

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Work setup
Unconfirmed
Employment
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Apply at Priceline

What you’ll work on

Full posting
  • You will evaluate complex technical trade-offs, champion engineering excellence, and foster a culture of innovation.

From the employer’s posting
As a Staff Data Engineer for Customer Growth, you will be the technical beacon and architectural anchor for the data ecosystems that drive our customer acquisition, retention, and engagement strategies. This is a high-impact, leadership-by-influence role where you will not just write code, but design the future-proof frameworks that empower multiple engineering squads. You will evaluate complex technical trade-offs, champion engineering excellence, and foster a culture of innovation. Operating across the entire Customer Growth portfolio, you will collaborate closely with product management, data science, and business leaders to turn massive datasets into strategic growth levers. In this role, you will get to:

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree or higher in Computer Science or related field.
  • 8+ years of experience designing and implementing distributed data processing systems utilizing tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg.
  • Deep expertise in major cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions like Snowflake, BigQuery, or Databricks.
  • Ability to look at multiple viable technical paths, weigh the immediate business needs against long-term technical debt, and confidently steer the team toward the optimal choice.
Qualification wording
Bachelor’s degree or higher in Computer Science or related field.
8+ years of experience designing and implementing distributed data processing systems utilizing tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg.
Deep expertise in major cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions like Snowflake, BigQuery, or Databricks.
Ability to look at multiple viable technical paths, weigh the immediate business needs against long-term technical debt, and confidently steer the team toward the optimal choice.

Tools in this posting

  • Java
  • Python
  • Scala
  • AWS
  • Azure
  • BigQuery
  • Delta
  • Google Cloud (GCP)
  • Kafka
  • Snowflake
  • Spark
  • SQL
  • Databricks
  • Iceberg
Source — Tool mentions in context
- Expert-level knowledge of data modeling paradigms (Data Vault, Kimball, Star Schema) tailored for complex customer journeys and behavioral data. - Highly proficient in Python, Scala, or Java, alongside expert-level SQL. - A natural curiosity to challenge the status quo and a history of successfully introducing innovative data solutions to business problems.
- 8+ years of experience designing and implementing distributed data processing systems utilizing tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg. - Deep expertise in major cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions like Snowflake, BigQuery, or Databricks. - Proven track record of building reusable data libraries, custom tooling, or internal platforms that accelerated development for other engineering teams.
- Bachelor’s degree or higher in Computer Science or related field. - 8+ years of experience designing and implementing distributed data processing systems utilizing tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg. - Deep expertise in major cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions like Snowflake, BigQuery, or Databricks.

About Priceline

Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve.

In the employer’s words · Read in context

Job description

View original posting ↗

This role is eligible for our hybrid work model: Two days in-office
 

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.
 

Why this job’s a big deal:


As a Staff Data Engineer for Customer Growth, you will be the technical beacon and architectural anchor for the data ecosystems that drive our customer acquisition, retention, and engagement strategies. This is a high-impact, leadership-by-influence role where you will not just write code, but design the future-proof frameworks that empower multiple engineering squads.
 

You will evaluate complex technical trade-offs, champion engineering excellence, and foster a culture of innovation. Operating across the entire Customer Growth portfolio, you will collaborate closely with product management, data science, and business leaders to turn massive datasets into strategic growth levers.
 

In this role, you will get to:
 

  • Architecture & Framework Design: Design, build, and evolve robust, scalable, and highly reliable data architectures and framework-level designs that support real-time personalization, marketing automation, and advanced customer analytics.
  • Technical Decision Making & Trade-off Analysis: Act as the ultimate sounding board for complex data challenges. Evaluate competing technologies and methodologies (e.g., batch vs. streaming, self-hosted vs. managed services, various data lakehouse architectures) and present objective, clear trade-off analyses to stakeholders.
  • Best Practices & Governance: Define, document, and evangelize global engineering best practices, data governance frameworks, security standards, and CI/CD automation patterns across the portfolio.
  • Cross-Portfolio Collaboration: Break down silos. Work seamlessly with cross-functional teams within the Customer Growth domain to ensure data infrastructure aligns perfectly with product roadmaps and business goals.
  • Innovation & R&D: Stay ahead of the curve. Continually research, prototype, and introduce emerging technologies and innovative paradigms (such as Data Mesh, advanced identity resolution, or real-time feature stores) to keep our growth engine competitive.
  • Mentorship & Technical Guidance: Act as a force multiplier. Guide, unblock, and elevate senior and mid-level engineers by conducting rigorous code/architecture reviews and hosting knowledge-sharing sessions.
     

Who you are:

  • Bachelor’s degree or higher in Computer Science or related field.
  • 8+ years of experience designing and implementing distributed data processing systems utilizing tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg.
  • Deep expertise in major cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions like Snowflake, BigQuery, or Databricks.
  • Proven track record of building reusable data libraries, custom tooling, or internal platforms that accelerated development for other engineering teams.
  • Expert-level knowledge of data modeling paradigms (Data Vault, Kimball, Star Schema) tailored for complex customer journeys and behavioral data.
  • Highly proficient in Python, Scala, or Java, alongside expert-level SQL.
  • A natural curiosity to challenge the status quo and a history of successfully introducing innovative data solutions to business problems.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical business partners, and a proven ability to lead through influence rather than authority.
  • Ability to look at multiple viable technical paths, weigh the immediate business needs against long-term technical debt, and confidently steer the team toward the optimal choice.
  • Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust
  • The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential
    #LI-hybrid

Who We Are

WE ARE PRICELINE.

Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers. 

Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.  

We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.

Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable. 

If you want to be part of something truly special, check us out! 

Flexible work at Priceline

Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.

Perks & Benefits at Priceline

Our benefits are designed to support your health, wellbeing, and life inside and outside of work. Eligible Priceliners have access to:

Health & wellness coverage including medical, dental, vision, and mental health resources

Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days

Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location)

Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts

Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits

Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits

A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together

Specific benefits and programs vary by location.

Inclusion is a Big Deal!

To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.

Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love for you to join us and help shape what makes our team extraordinary.

Applying for this position

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Your next step

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  • Check the listed location, eligibility and core experience before starting.
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Source & posting history

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Pay

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Location & working pattern

Mumbai

This role is eligible for our hybrid work model: Two days in-office Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.
More source context
- Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust - The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential #LI-hybrid Who We Are

More relevant text appears in the full description.

Work authorization

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Status in our records
Active
First seen by us
Jul 14, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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