Data Engineer

Randstad

Framingham, MA

Contract

Senior

125k-137k

8 days ago

Job Description

About the Role

The Data Engineer is accountable for designing, creating, and maintaining data pipelines and data models for projects within the Risk Assurance Data and System. The role involves working as the lead engineer partner with Data Analysis, IT Teams, partners, and developers to drive the design and oversee the technical aspects of delivery. This position is based in Framingham, MA, and is offered as a contract role with a focus on data engineering, modeling, and analytics within a collaborative and agile environment.

Key Responsibilities

Design, develop, test, catalog, and maintain Data Software and Data Pipeline solutions for the Corporate Risk and Compliance functions
Analyze raw data and data sets across various data technology environments
Combine raw information from different sources and technologies
Identify opportunities for data acquisition
Collaborate with IT teams and peer engineers to minimize data duplication and ensure solutions align with the overall IT roadmap
Deliver clean, secure, and high-performance code and technology components that meet non-functional requirements
Participate in design reviews, peer code reviews, and impact assessment sessions to identify appropriate solutions
Create test data, relevant supporting documentation, and support deployment for small to medium complex solutions
Work within an agile framework to ensure efficient delivery and identify process improvements
Support discussions on design approaches to solve business problems
Maintain broad knowledge of data sources and analytics applications supporting the Corporate Risk and Compliance function
Partner with the Center of Excellence to enhance guidelines, standards, and methodologies
Participate in communities of practice
Provide high-level customer service and take personal accountability for outcomes
Lead other developers and analysts through design concepts
Develop relationships at all levels of the business
Prioritize and multitask effectively in a fast-paced environment
Proactively address issues related to data design, modeling, and solutions

Requirements

5-10 years of experience in a technical data, data modeling, or data analytics role, specifically in design, development, and implementation
Experience in data engineering/modeling or similar roles
Knowledge of retail industry processes such as purchase orders, sales, vendor maintenance, and merchandising
Proficiency with Excel, Power BI, Snowflake, Jira, Confluence, Databricks, and Alteryx
Experience building data models for reporting in Power BI and Snowflake
Expertise with data modeling and engineering tools, SQL, data security, data profiling, and multiple file formats (JSON, XML, etc.)
Proficiency in SQL, stored procedures, and integration techniques
Experience with cloud data storage technologies (Azure), analytics tools, data architecture, and data governance
Experience in the full software delivery lifecycle including data analysis, process mapping, solution design, coding, testing, and deployment
Familiarity with Agile and DevOps concepts and tools
Good analytical, critical thinking, and influencing skills
Ability to communicate technical data effectively to non-technical stakeholders

Nice to Have

Bachelor's degree in information management, data analytics, computer science, or a related field
Hands-on experience working with large, complex data sets in multi-system environments
Python skills

Qualifications

Bachelor's degree (preferred but not mandatory)

Benefits & Perks

Comprehensive benefits package including medical, prescription, dental, vision, AD&D, and life insurance
Short-term disability
401K plan
Salary based on education, experience, location, and certifications

Working at Randstad

At Randstad Digital, we welcome people of all abilities and are committed to ensuring our hiring and interview processes meet the needs of all applicants. We value diversity and inclusion, and strive to create a supportive environment that fosters collaboration and professional growth.

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