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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, United States Reports To Engineering Manager Requirements What We’re Looking For: Experience: 5+ years of experience in data engineering or related roles Project Management: Experience leading projects and collaborating across teams 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 Agentic Engineering: Hands-on experience building with LLMs and coding agents to amplify day-to-day output, including the harnesses and internal tooling that let you and the rest of the team move faster. Additional Skills Programming: Python, SQL, 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 LLM Tools: Experience with Claude Code, Cursor, Copilot, MCP, Agent Orchestrators 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: Video 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.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website. Compensation Range: $130K - $144K
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.