Sr. Data Engineer

Remote United States

PAR Technology

Discover PAR’s transformational, single-source approach including POS, Omnichannel Ordering, Loyalty, Data, Payments, and more.

View all jobs at PAR Technology

Apply now Apply later

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.

Position Description: 

We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for tackling complex challenges related to extracting insights from transactional data. In this role, you will work closely with our Application Development teams, Customer Support, Business SMEs, and stakeholders to design and implement data pipelines that transform our data into valuable insights. As we strive to scale and deploy new technologies that enhance the user experience and provide deeper insights, your expertise will be critical to our success.

Position Location:

Remote, US | Remote, CA

Reports To: 

Engineering Manager, Data Platform

What We’re Looking For:

Requirements:

 • Experience: 5+ years of experience in data engineering or related roles

• Problem-Solving Skills: Strong analytical and problem-solving abilities

• Communication: Excellent communication skills for stakeholder engagement

• Continuous Learning: Commitment to staying updated with industry technology trends

Additional skills:

 • Programming: Python, SQL, PySpark, Terraform

• Data Modeling: Strong understanding of data modeling concepts and practices

• Big Data Technologies: Spark, Databricks, Structured Streaming

• Databases: Relational (Postgres) and NoSQL (DynamoDB) databases

• CI/CD : CircleCI, DroneCI, Github Actions, Spacelift

• Monitoring & Observability: DataDog

• Cloud Platforms: AWS or Azure and their data solutions

• Data Governance: Understanding data privacy, security, and governance practices

• AI/ML Integration: Ability to integrate AI/ML models into data pipelines

• Version Control: Git, Github

 

Unleash your potential: What you will be doing and owning:

 • Developing robust, scalable data pipelines using cutting-edge technologies

• Architecting and developing innovative data products that drive business insights

• Utilizing advanced AI techniques to transform raw data into strategic intelligence

Interview Process:

  • Interview #1: Phone Screen with Talent Acquisition Team

  • Interview #2: Video interview with the Hiring Manager (via MS Teams)

  • Interview #3: Video interview with the Team (via MS Teams)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.comIf you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website. 

Apply now Apply later
Job stats:  1  0  0
Category: Engineering Jobs

Tags: AWS Azure Big Data CI/CD CX Databricks Data governance Data pipelines DynamoDB Engineering Git GitHub Machine Learning ML models NoSQL Pipelines PostgreSQL Privacy PySpark Python Security Spark SQL Streaming Terraform Testing

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States

More jobs like this