Data Engineer

1 day ago

Columbus, United States Experis Full time
Job Title: Data Engineer & Modeler
Location: Columbus, OH; Dallas, TX; or Broken Arrow, OK (Remote candidates considered)
Work Schedule: M-F
Contract Details: 6mo
Pay Rate: $100
Candidates: open US Citizens or Green Card Holders

Skills and Experience Needed:
  • Familiarity with modern Agile practices (SAFE, LeSS, Lean, Scrum, XP)
  • Ability to adapt Agile methodologies within a Waterfall IT controls environment
  • Understanding of InfoSec control levels

Position Overview
The Data Engineer - Data Modeler plays a critical leadership role in defining and refining enterprise data models. This position will guide the selection and development of data models for a variety of applications across the organization, from business-centric solutions to insights-driven apps. You'll work collaboratively across technical and business teams to ensure the integrity and utility of data models enterprise-wide. The ideal candidate is a highly skilled, proactive technologist with a passion for data modeling, problem-solving, and continuous learning.
Key Responsibilities: Data Modeling and Analysis
  • Translate business needs into long-term, sustainable data models.
  • Develop business, logical, and physical data models aligned with organizational requirements.
  • Monitor and improve critical data models to support ongoing business functions effectively.
Collaboration and Stakeholder Engagement
  • Work closely with software engineers, business units, and service teams to ensure alignment on data needs.
  • Act as a data modeling expert, facilitating working sessions with business operations teams to understand data sources and outputs.
Documentation and Standards Development
  • Create and maintain architecture documentation, data flow diagrams, and data models.
  • Establish and enforce standards for data naming conventions, consistency, and reuse across data models.
Data System Evaluation and Optimization
  • Regularly evaluate and refine existing data models, ensuring accuracy and efficiency.
  • Collaborate with platform teams to optimize data mapping and mastering processes.
Technical Leadership and Mentorship
  • Provide direction to Data Engineering teams in developing, populating, and maintaining data within the enterprise data model.
  • Guide end-users on the established data models to support their application and downstream processes.
Data Model Development for NoSQL Databases
  • Develop and maintain data models for NoSQL databases such as Cosmos DB and MongoDB.
Additional Duties
  • Perform data management tasks related to data quality, governance, and metadata management.
  • Complete other related tasks as required by the role.
Qualifications & Experience
  • 10+ years in IT, with 5+ years in developing and managing Business, Logical, and Physical data models.
  • 5+ years in designing databases, Data Warehouses, Data Hubs, Delta Lake, and Data Marts.
  • Experience in modeling methodologies (3NF, BPMN, data vault, star/snowflake schemas).
  • Strong SQL skills with at least 5 years of practical experience.
  • Proficiency with data modeling tools (Erwin, ER/Studio, Archi).
  • Familiarity with SAP ECC and Salesforce data models.
  • 3+ years working in data governance, data quality, and master data management.
  • Experience with Agile or ITSM methodologies is a plus.
  • Bachelor's degree or equivalent industry experience.
General Expectations
  • Uphold professional and ethical behavior in all interactions.
  • Exhibit strong interpersonal, consulting, and relationship-building skills.
  • Actively contribute to a collaborative, team-oriented environment with a focus on shared goals.
  • Demonstrate effective communication skills, both written and verbal.
  • Ability to prioritize and manage tasks effectively and with accountability.
  • Travel may be required as needed.

This role is an excellent opportunity for a seasoned Data Engineer to leverage their technical expertise and leadership in data modeling to drive organizational insights and data strategy.

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