Dofactory.com
Dofactory.com

DATA ENGINEER

Location
United States
Pay
$115,000 - $130,000 / Year 
--
Fulltime
Level
Junior, Senior level
Skills

Job Description

Overview:
The Data Engineer will play a critical role in designing, developing, and maintaining robust data infrastructure and pipelines to support our data-driven initiatives. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 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 our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities:
  • Design, develop and implement data packages for data warehousing or applications
  • Help with the design architecture of data platforms, warehouses and pipelines
  • Research and develop data related tools to fit within the company needs
  • Customize and manage integration tools, database and analytical systems
  • Develop and suggest best practices policies/procedures across the team for all data related processes.
  • Monitor the overall performance and stability of the data systems
  • Test and maintain efficiency and reliability of data pipelines and data warehouses
  • Build the infrastructure and data pipelines required to extract, transform, clean, and move data and metadata to be loaded into a data warehouse, data mart, or operational data store
  • Create and maintain technical documentation to support the business application and data related processes
  • Provide technical support and problem resolution for related data service teams
  • Collect and help mapping the organization’s data landscape to provide decision-makers with strategical insights to made effective decisions
  • Strong at understanding requirements and transforming business requirements into appropriate technical solutions
  • Other duties as assigned.
Qualifications:
  • Bachelor’s degree in Computer Science, IT, or related field/experience
  • 5+ years of Data Engineering experience, working with large-scale data processing and ETL pipelines
  • Hands-on experience with data models, data management and data quality
  • Experience with Relational Database Systems, Data Design, RDBMS Concepts, ETL
  • Experience working with data in cloud environments such as AWS (preferred), Azure, GCP
  • Data engineering certification (a plus)

Sonny's Enterprises
is the world's largest manufacturer of conveyorized car wash equipment, parts, and supplies. We are the industry leader, recognized and awarded by the International Car Wash Association for innovating new technologies to advance the industry with products proudly designed and built in the USA. Our culture thrives on finding new and better ways to accelerate what’s next. We embrace change and the opportunity it produces to maximize the potential of our most valuable resource — our PEOPLE! We invite you to explore our opportunities and grow your career with us.

We offer 100% employer paid medical plan. Other optional benefit programs are available to our employees and their families which include: 401(k) match, additional medical plans, dental, vision, flex spending account, short-term and long-term disability life insurance coverage.

EEO Statement

Equal Opportunity Employer

Sonny’s is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Compensation

The pay range for this role is USD $115,000/Yr. - $130,000/Yr. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.
 
Ref #
2759082
Posted
30+ days ago
  •  
Last updated 30+ days ago


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