Data Engineer - Senior - Consulting - Location OPEN

EYHartford, DC
$106,900 - $200,600Remote

About The Position

The Products and Platforms Practice specializes in mission-critical, intelligent platforms for the world’s most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers, and software engineers enable our clients to solve their most complex product challenges and positively impact people and the world. Engineers are problem solvers. While most have deep expertise in specific areas of the technology stack (front end, back end, data, security etc.), all are comfortable swimming across lanes. This is really important in delivering the product and platform outcomes that our customers expect. In this role, you will design and build AI and analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Requirements

  • A Bachelor’s degree required (4-year degree) in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
  • Typically, no less than 2 - 4 years relevant experience.
  • Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.
  • Cloud Computing Architecture
  • Data Architecture Design and Modelling
  • Data Integration
  • Data Security
  • Ontology Design
  • Software Engineering
  • Data Quality
  • Database Management
  • Semantic Layer
  • Building and Managing Relationships
  • Client Trust and Value
  • Communicating With Impact
  • Hybrid Collaboration
  • Complex Problem-Solving
  • Critical Thinking

Nice To Haves

  • A passion for delivering commercial software products and platforms to market
  • Deeply technical and constantly in a state of learning
  • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, customers, partners and executives
  • Fearless in getting “hands-on” with technology and execution
  • Strong understanding of modern software engineering processes
  • Deep understanding and interest in cloud and distributed systems architectures
  • Comfortable with ambiguity with a drive for clarity
  • Experience leading and growing technical talent (for software engineering managers)
  • Experience in managing change effectively.
  • Experience with data quality management.
  • Familiarity with semantic layers in data architecture.
  • Knowledge of emerging technologies in data analytics.

Responsibilities

  • Designing, building, and operating scalable on-premises or cloud data architecture.
  • Analyzing business requirements and translating them into technical specifications.
  • Optimizing data flows for target data platform designs.

Benefits

  • medical and dental coverage
  • pension and 401(k) plans
  • a wide range of paid time off options
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