Data Engineer in PAR Retail

FULL_TIME

  Remote | Semi Senior | Full time | Data Science / Analytics

Gross salary $3000 - 5000 USD/month

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At PAR Technology, we are at the forefront of innovation within the restaurant and retail sectors. Our passion drives us to enhance customer success through integrated solutions, including point-of-sale systems, digital ordering, payment services, and loyalty programs. With over 40 years in the industry, our cohesive approach is set to revolutionize operations, connect businesses seamlessly, and propel growth through technology.

Position Description

We are seeking a Data Engineer to join our dynamic team dedicated to creating advanced data tools for our retail and commerce loyalty platform. In this position, you will tackle intricate challenges related to extracting insights from transactional data. Collaborating closely with Application Development teams, Customer Support, Business SMEs, and various stakeholders, your responsibility will be to design and implement data pipelines that effectively transform data into meaningful insights.
As we focus on scaling and deploying innovative technologies aimed at enhancing user experience, your technical expertise will play a pivotal role in our ongoing success.

Requirements

  • Experience: 3-6 years in data engineering or related fields.
  • Problem-Solving Skills: A proactive mindset towards troubleshooting and optimization is essential.
  • Communication: Capable of conveying technical concepts to non-technical stakeholders clearly.
  • Continuous Learning: A commitment to keeping abreast of the latest industry trends and technologies.

With a Side of Additional Skills

  • Programming: Proficiency in Python and SQL.
  • Data Modeling: Basic comprehension of data modeling concepts and practices.
  • Big Data Technologies: Familiarity with Spark; exposure to Databricks is a plus.
  • Databases: Experience with relational databases like Postgres; exposure to NoSQL technologies.
  • CI/CD: Understanding of CI/CD tools such as GitHub Actions.
  • Cloud Platforms: Proficient with AWS or Azure and their data solutions.
  • Version Control: Familiar with Git and GitHub.

What You Will Be Doing and Owning

  • Designing and implementing efficient data pipelines.
  • Staying updated on emerging technologies and best practices in data engineering.
  • Contributing to code reviews and providing constructive feedback to peers.

Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Computer provided PAR Retail provides a computer for your work.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

About PAR Retail

At PAR Retail, we share a commitment to excellence and a desire to work in a comfortable, friendly atmosphere. This means we only hire nice, bright, fun people who work hard by default, due to their motivation and passion for their craft. — PAR Retail's full profile