Data Engineer

Ready Foods Inc.

Denver, CO

JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Artificial Intelligence (AI), Cloud Computing, Computer Science, Cost Control, Cross-Functional, Data Lake, Data Management, Data Modeling, Database Extract Transform and Load (ETL), Detail Oriented, ERP (Enterprise Resource Planning), Ecosystems, Entrepreneurship, Financial Operations, Financial Systems, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Interface Programming Languages, Internet of Things, Manufacturing, Manufacturing Equipment, Manufacturing Load, Manufacturing Operations, Manufacturing Technology, Manufacturing/Industrial Processes, Microsoft Windows Azure, Power BI, Preventative Maintenance, Quality Assurance, Resource Management, Staff Development, Supply Chain, System Operations, Tableau, Technical Support, Telemetry, Training/Teaching
LOCATION
Denver, CO
POSTED
13 days ago

Data Engineer, Denver, CO: The Data Engineer plays a key role in delivering Ready Foods’

vision of building a best-in-class Data and Decision Intelligence (DDI) ecosystem. The Data

Engineer supports the digital transformation of our manufacturing operations, translating

technical requirements from our factories into targeted solutions that fit into Ready Foods’

broader data framework, roadmap, and architecture. The Data Engineer is responsible for

supporting the extract, transform, and load processes of our industrial internet of things (IoT) data and enterprise data. This position is full-time salaried position reporting directly to the Chief

Information Officer.


  • Integration of factory data, production operations data, manufacturing performance data,

operational safety data, preventive maintenance data, and ERP data into on premises and

cloudbased IoT tools to support the collection, analysis, and reliable consumption of real

time data.

  • Design, implement, and operationalize data pipelines to support the data lifecycle for our

factory Industrial IoT data to achieve Industry 4.0 transformation. Structuring data sets

for machine learning based predictive models, cleaning data, and feeding it through

Artificial Intelligence models.

  • Design, develop, and deliver the cloud platforms and tools needed for optimal extraction,

transformation, and loading of manufacturing sensors and factory Industrial IoT data.

  • Support the extraction, development and delivery of data for a Unified Manufacturing

Model for our factories and the enterprise to drive manufacturing operational excellence.

  • Partner cross-functionally with manufacturing and business stakeholders to ensure data

validity and platform buy-in.

  • Support delivery of a master data model and pipeline for Industrial IoT and enterprise

data.

  • Design and deliver solutions to support real-time manufacturing data streaming,

manufacturing equipment and process events & condition monitoring, and predictive

maintenance.


  • Working closely with 3rd party data architects and internal data team to develop deep

understanding of our data ecosystem and communicate with business unit partners.

  • Provide training and support the technical development of fellow team members.

Requirements:

  • Master’s Degree in Data/computer science, an engineering discipline, or related.
  • Work experience in manufacturing settings and data integrations with ERP, Supply Chain

systems, QA systems, Financial systems, and Operational Systems.

  • Proficiency in cloud architecture, cloud-based data structures, cloud application

programming interfaces, and cloud data security preferably in high transaction real-time

manufacturing environments.

  • Experience with cloud-based data lake platforms such as Databricks, Microsoft Azure,

Hadoop, AWS, or GCP to ingest and process high volume industrial or telemetry data.

  • Experience with cloud resource cost management and optimization.
  • Knowledge and experience with manufacturing Operational Technology (OT)-

Information Technology (IT) networks and machine data ingestion frameworks.

  • Experience in SQL, object-oriented language (Python, C#, Java), shell scripting, and file

formats (JSON, Parquet, Avro).

  • Deliver manufacturing and operational data insights through Power BI or Tableau.
  • Detail oriented self-starter, with a growth mindset and a passion for data.
  • Ability to handle ambiguity and work in a fast paced, entrepreneurial environment.

Travel Locations:

  • 4000 Dahlia St, Denver, CO 80216
  • 5905 E. 42nd Avenue, Denver, CO 80216
  • 2645 W. 7th Avenue, Denver, CO 80204

Standard company benefits.

Ready Foods Inc. 5270 Fox St., Denver, CO 80216. $120,536.00 per year. Email resume to

aluna@readyfoods.biz.

About the Company

R

Ready Foods Inc.