Priceline
Finance / FinServ
DataDeveloper,FinTech
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Developer, FinTech at Priceline. Skills: Data Developer, FinTech, cloud migration, data pipelines, ETL/ELT, cloud platform, data warehousing, data modeling, data validation, machine learning pipelines, Python, SQL, GCP. Participate in cloud migration and modernizing current data systems. Oversee data systems that serve hundreds of millions of real time events a day”
Industry & Context.
Diagnose and solve any issues within data infrastructure
What They're Looking For.
Must Have
4+ years of work experience in Software Engineering and development, Proficient in applying search engines like Apache Lucene, Apache Solr and ElasticSearch, Expert knowledge of Big Data solutions such as Cassandra, Hadoop, Spark, Kafka, and RabbittMQ, Experienced with strategies such as indexing, machine-learned rankings, clustering and distributed concepts, Expertise in Google Cloud Platform (GCP) services, especially BigQuery, Cloud Dataflow, Cloud Composer, Cloud Storage, Pub/Sub, and Cloud Functions, with ETL/ELT processes, data ingestion, and data transformation, particularly with tools like Apache Beam, Dataflow, and Airflow, Proficiency in Python, SQL, and ideally one or more of Java/Scala for data processing, Experience with continuous integration and deployment for data pipelines using GitHub Actions, Jenkins, Unquestionable integrity and ethics is essential
Nice to Have
Big Deal Bucks credits, Signature travel perks, employee-only discounts on hotels and flights, VIP deals, tuition support, legal support, pet benefits
What You'll Do.
Participate in cloud migration and modernizing current data systems
Oversee data systems that serve hundreds of millions of real time events a day
Collaborate on building software that collects and queries data
while also composing queries for investigation purposes
Diagnose and solve any issues within data infrastructure
Develop and maintain scalable data pipelines on a cloud platform (e. g.
utilizing data orchestration tools like Apache Airflow
Develop ETL and ELT processes to ingest
and cleanse data from various sources into cloud-based data warehouses
Create and maintain data models in cloud data warehouses (BigQuery
Synapse) optimized for analytics
and financial analysis
Implement data validation and testing frameworks to ensure the accuracy
and compliance of financial data
Implement monitoring and alerting for data pipelines using tools
Develop and maintain machine learning pipelines for financial data analysis
including data preparation
How You'll Work.
Team & Collaboration
Collaborate on building software that collects and queries data; work with teams and stakeholders
Full Job Description
This role is eligible for our hybrid work model: 2 days in-office This job posting is for an existing, currently vacant position. **Data Developer, FinTech** 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:** Enjoy working with big data? We do too! In fact, data lies at the very core of our business! As a data engineer you will be working on data systems that serve and generate billions of events each day. With the most advanced big data technologies at your fingertips, you will leverage data to understand, meet, and anticipate the needs of our customers. **In this role, you will get to:** * Participate in cloud migration and modernizing current data systems. * Oversee data systems that serve hundreds of millions of real time events a day. * Collaborate on building software that collects and queries data, while also composing queries for investigation purposes. * Diagnose and solve any issues within data infrastructure. * Develop and maintain scalable data pipelines on a cloud platform (e.g., GCP, AWS, Azure), utilizing data orchestration tools like Apache Airflow, cloud-native tools * Develop ETL and ELT processes to ingest, transform, and cleanse data from various sources into cloud-based data warehouses * Create and maintain data models in cloud data warehouses (BigQuery, Redshift, Synapse) optimized for analytics, reporting, and financial analysis * Implement data validation and testing frameworks to ensure the accuracy, quality, and compliance of financial data. * Implement monitoring and alerting for data pipelines using tools * Develop and maintain machine learning pipelines for financial data analysis, including data preparation, feature engineering, model training, and deployment **Who you are:** * Bachelor’s degree in Computer Science. * 4+ years of w
Applying for this Data Developer, FinTech role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Priceline?
Real rants from real employees. Read before you apply.