Senior Data Engineer

Posted Yesterday
Boston, MA, USA
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Designs, builds, and supports data warehouse, BI and data visualization solutions. Gathers stakeholder requirements, develops ETL/transformation and integration services, ensures data design, transport, access, quality and metadata, and promotes best practices and standards across BI initiatives.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Consults with various stakeholders throughout the organization to analyse their information needs and determines analytical requirements for system application and data processing solutions, including selection of appropriate data sources, tabulations, statistical methods and analysis, and communication of results and insights
Builds Business Intelligence (BI) and Data Visualization solutions to meet business and systems needs by thorough requirements gathering, software component designing, coding, testing, and effective review
Uses DW/BI toolkits to collect, record, and provide access to data and assist the enterprise in making better business decisions
Provides support to existing DW/BI solutions using architecture and development best practices including data design, data transport, data access, data visualization, and data quality/metadata techniques
Designs and develops services for transformation, integration and reporting solutions
Provides feedback and consultation on analytical capabilities and integrated data assets to business partners in order to mature the vision and direction for BI
Applies industry best practices and promotes standards for execution and delivery approach

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • Experience with DW/BI toolkits and BI platforms
  • Ability to design and build BI and data visualization solutions
  • Design and develop services for data transformation, integration, and reporting (ETL/ELT)
  • Experience applying data design, data transport, data access, and metadata techniques
  • Experience with data quality practices and metadata management
  • Consulting with stakeholders to gather analytical requirements and communicate insights
  • Apply industry best practices and promote standards for execution and delivery

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Flexible Benefits Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
  • Healthcare Strength U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
  • Parental & Family Support Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.

Quantiphi Insights

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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