Priceline

Tech / AI / Software

DataDeveloper,Data/AI/ML

$100–120k toronto, ontario, canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Developer, Data/AI/ML at Priceline. Skills: data pipelines, data architecture, data modeling, SQL, Spark, Airflow, Snowflake, dbt, Big Data solutions, GCP, Java, Python. Build and optimize data pipelines for ingestion, transformation, and validation. Assist with CI/CD practices to automate pipeline deployment and monitoring”

What You'll Achieve.

deliver trusted data for analytics and product initiatives; ensure data solutions meet business and product requirements; ensure reliable outputs; ensure transparency of data availability, integrity, and lineage for stakeholders; validating that data pipelines deliver accurate and timely data

Industry & Context.

Tech / AI / Software
Problems you'll solve

Proven ability to analyze, debug, and resolve data processing issues efficiently

What They're Looking For.

Must Have

Bachelor’s degree in Computer Science or a related field, 3–5 years of hands-on experience building and maintaining data pipelines and architectures in a corporate or product-driven environment, Hands-on ML experience in production, Proficient with SQL, Proficient in Java or Python

Nice to Have

Proficiency in the Google Cloud Platform (GCP) stack is highly desirable, Cloud platform certs

What You'll Do.

Build and optimize data pipelines for ingestion

Assist with CI/CD practices to automate pipeline deployment and monitoring

Develop and maintain data validation and quality assurance tests to ensure reliable outputs

Work in tandem with Data Architects to align on data architecture requirements

Build and maintain data models that support analytics

Define solution parameters for data preparation

Monitor and report on data pipeline performance

and data quality issues

Ensure transparency of data availability

and lineage for stakeholders

Support release readiness by validating that data pipelines deliver accurate and timely data

How You'll Work.

Team & Collaboration

Collaborating closely with Data Architects, Product Managers, and other stakeholders; Partner with Product Managers, Analysts, and Engineering teams to understand data requirements; Facilitate communication between data, product, and development teams to ensure alignment; Provide guidance on best practices for data management and pipeline design; Share knowledge and mentor team members on data engineering practices

Communication Scope

Facilitate communication between data, product, and development teams; Provide guidance on best practices

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, Data/AI/ML** 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 Data Developer in the Product Operating Model (POM), your focus is on building and maintaining reliable, scalable, and high-performing data pipelines that deliver trusted data for analytics and product initiatives. You are accountable for designing, developing, and optimizing data ingestion, transformation, and validation processes, while collaborating closely with Data Architects, Product Managers, and other stakeholders to ensure data solutions meet business and product requirements **In this role, you will get to** 1\. Data Pipeline Development & Optimization * Build and optimize data pipelines for ingestion, transformation, and validation * Assist with CI/CD practices to automate pipeline deployment and monitoring * Develop and maintain data validation and quality assurance tests to ensure reliable outputs 2\. Data Architecture & Modeling * Work in tandem with Data Architects to align on data architecture requirements * Build and maintain data models that support analytics, reporting, and product features * Define solution parameters for data preparation, integration, and storage 3\. Collaboration & Cross-Functional Alignment * Partner with Product Managers, Analysts, and Engineering teams to understand data requirements * Facilitate communication between data, product, and development teams to ensure alignment * Provide guidance on best practices for data management and pipeline design 4\. Continuous Improvement * Identify opportunities to improve pipeline performance, reliability, and maintainability * Evaluate and implement new data tools, te

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