Data Engineer

Job Description

Data Engineer

Syracuse, NY

Overview

With 75 years as an established, family-owned company, Raymour and Flanigan has grown into the largest furniture retailer in the Northeast with more than 100 showrooms in seven states, and we are continually expanding our territory. We have a strong foundation of experienced IT professionals with expertise in harnessing and maximizing organizational processes and their associated information to solve a wide variety of complex business needs.

Position Overview

We are looking for an accomplished pipeline-centric Data Engineer to join our growing team of analytics experts. The position will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Essential Functions and Responsibilities

• Lead and develop sustainable data driven solutions with current and next gen data technologies to meet the needs of our organization and business customers
• Design robust systems with an eye on the long-term maintenance and support of the application
• Assemble large, complex data sets and data marts that meet functional/non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Leverage and establish standards across the team and organization
• Develop within a hybrid-cloud-based data-processing architecture to integrate Raymour Flanigan data with third parties
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Develop with a strong emphasis on security, reliability, fault tolerance and performance
• Develop stream processing applications to process data in near real time
• Build batch data pipelines to integrate disparate data sources in a central data warehouse to support business applications and analytics
• Design new analytical and physical data models for analysis and optimization
• Develop solutions within a data visualization technology or platform (e.g. Tableau, D3)
• Provide technical guidance to team members
• Help to enable team success through fostering a positive work environment

Required Skills and Experience

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases like Snowflake, Oracle, Dynamo DB etc
  • Experience with data pipeline and workflow management tools: SSIS, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with programming languages: Python, C# etc.
  • Experience with a tool like DBT a plus

Raymour Flanigan offers competitive compensation and a comprehensive benefits package:

• Excellent Health, Dental Vision Coverage
• 401(k) with a Company Match
• Paid Vacation and Holidays
• Health Savings Account
• Flexible Spending Account
• Training and Development
• Tuition Reimbursement Program
• Generous Merchandise Discount
• Short Long Term Disability
• Group Life Insurance
• Specified Disease Insurance

Raymour Flanigan proudly supports a drug and smoke free work environment.

Raymour Flanigan is an Equal Employment Opportunity employer that does not discriminate against any associate or applicant on the basis of race, creed, color, religion, sex (including pregnancy), age, national origin, physical or mental disability, status as a victim of domestic violence, sexual orientation, sexual and other reproductive health decisions, marital or familial status, genetic information or other basis protected by law.