Sr. Data Engineer

PAR Technology

$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or related roles
  • Experience leading projects and collaborating across teams
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for stakeholder engagement
  • Commitment to staying updated with industry technology trends
  • Hands-on experience building with LLMs and coding agents

Responsibilities

  • Develop robust, scalable data pipelines using cutting-edge technologies
  • Architect and develop innovative data products that drive business insights
  • Utilize advanced AI techniques to transform raw data into strategic intelligence

Benefits

  • Flexible remote work environment
  • Opportunities for continuous learning and professional development
  • Collaborative team culture that values communication and stakeholder engagement
  • Access to cutting-edge technologies and tools
  • Emphasis on innovative project work that directly impacts business growth
Full Job Description
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

What We're Looking For:

Requirements:
  • 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)

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