Sr. Data Engineer
New Hartford, NY · Remote
$109K - $131K/yr
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
New Hartford, NY · Remote
$109K - $131K/yr
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
New Hartford, NY · Remote
$109K - $131K/yr
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
$51.9K - $61.3K
1% of jobs
$61.3K - $70.7K
14% of jobs
$70.7K - $80.1K
5% of jobs
$84.3K is the 25th percentile. Wages below this are outliers.
$80.1K - $89.5K
11% of jobs
$89.5K - $98.8K
10% of jobs
The median wage is $105.3K / yr.
$98.8K - $108.2K
14% of jobs
$115.9K is the 75th percentile. Wages above this are outliers.
$108.2K - $117.6K
26% of jobs
$117.6K - $127K
3% of jobs
$127K - $136.4K
2% of jobs
$136.4K - $145.8K
10% of jobs
$145.8K - $155.2K
5% of jobs
$51.9K
$105.2K
$155.2K
A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.
| Aspect | Remote Data Visualization | Remote Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Computer Science, or related field; proficiency in visualization tools | Degree in Data Analysis, Statistics, or related; strong analytical skills |
| Work Environment | Primarily focused on creating visual representations of data, often using tools like Tableau, Power BI | Analyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software |
| Industry Usage | Used across tech, finance, marketing, and consulting firms for presenting data insights visually | Common in finance, healthcare, retail, and marketing for data interpretation and decision-making |
Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

$109K - $131K/yr
Full-time
Re-posted 19 days ago
7.4
Based on 9 frontline employees who took The Breakroom Quiz
167th of 241 rated software companies
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
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)
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.
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1,001 - 5,000 Employees
New Hartford, NY, US
1968