We are looking for a Sr. Data Engineer to join our team.

Responsibilities

• Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction.
• Ensures quality of technical solutions as data moves across multiple zones and environments
• Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
• Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
• Develops, constructs, tests, and maintains architectures
• Aligns architecture with business requirements and use programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality
• Conducts research for industry and business questions
• Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
• Prepares data for predictive and prescriptive modeling and find hidden patterns using data; in support of the Data Science team
• Uses data to discover tasks that can be automated
• Creates data monitoring capabilities for each business process and works with data consumers on updates
• Aligns data architecture to the solution architecture; contributes to overall solution architecture
• Develops patterns for standardizing the environment technology stack
• Helps maintain the integrity and security of company data

Experience:

• • Data Engineering: 8 years (Preferred)
  • Data Programming languages: 5 years (Preferred)
  • Data Developers: 5 years (Preferred)

 

We are looking for an experienced Product Manager who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Responsibilities:

• Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
• Create buy-in for the product vision both internally and with key external partners
• Translate product strategy into detailed requirements and prototypes

• Scope and prioritize activities based on business and customer impact
• Work closely with engineering teams to deliver with quick time-to-market and optimal resources
• Drive product launches including working with public relations team, executives, and other product management team members
• Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed
• Act as a product evangelist to build awareness and understanding
• Represent the company by visiting customers to solicit feedback on company products and services.

 

Skills

• Proven work experience in product management or as an associate product manager
• Proven track record of managing all aspects of a successful product throughout its lifecycle
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Strong problem solving skills and willingness to roll up one’s sleeves to get the job
• Skilled at working effectively with cross functional teams in a matrix organization
• Excellent written and verbal communication skills
• MS/BS degree in Computer Science, Engineering or equivalent preferred

Building businesses better, with Cloud, Mobility, Application development, Data, Artificial Intelligence, Agile Product Management and Software Quality Assurance.

About the Role We are looking for a results-driven Project Manager with a strong background in technology and operations to lead digital platform implementations, improve systems, and streamline business processes across the organization. Key Responsibilities

• Lead end-to-end SaaS implementations and operational improvements.

• Define project scope, timelines, budgets, and success metrics.

• Collaborate with Operations, IT, Finance, and Leadership to align goals.

• Manage vendor relationships and system integrations (e.g., POS, field service).

• Identify workflow automation and efficiency opportunities.

• Maintain project documentation and reports.

• Drive user adoption with training and change management.

• Monitor KPIs to measure impact and enable continuous improvement.

Qualifications:

• 7+ years managing projects in SaaS, technology, or operations.

• 3+ years implementing or managing vendor software (POS, ERP, CRM, Field Service, etc.).

• Proven experience managing vendor relationships and software deployment on the client side.

• Strong grasp of operational workflows and system integrations.

• Excellent communication, problem-solving, and stakeholder management skills.

• Proficient with project management tools like Asana, Jira, MS Project, and Microsoft Office.

• PMP or Agile certification preferred but not required.

We are looking for a Sr. Data Engineer to join our team.

Responsibilities

• Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction.
• Ensures quality of technical solutions as data moves across multiple zones and environments
• Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
• Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
• Develops, constructs, tests, and maintains architectures
• Aligns architecture with business requirements and use programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality
• Conducts research for industry and business questions
• Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
• Prepares data for predictive and prescriptive modeling and find hidden patterns using data; in support of the Data Science team
• Uses data to discover tasks that can be automated
• Creates data monitoring capabilities for each business process and works with data consumers on updates
• Aligns data architecture to the solution architecture; contributes to overall solution architecture
• Develops patterns for standardizing the environment technology stack
• Helps maintain the integrity and security of company data

Experience:

• • Data Engineering: 8 years (Preferred)
  • Data Programming languages: 5 years (Preferred)
  • Data Developers: 5 years (Preferred)