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Money Fit by DRS
Greenwood Village, CO, United States
Description: East Daley Analytics, the North American Midstream Expert, is seeking an experienced Data Engineer About East Daley Analytics (EDA) EDA is a fast-paced data and analytics company whose mission is to drive transparency in the energy sector. EDA, recognized as one of Colorado Companies to Watch , brings transparency to the complicated a
Job Source: Money Fit by DRSColorado Community Managed Care Network
Denver, CO, United States
Position Description: The Data Engineer will be responsible for all aspects of data management that support CCMCN’s production services. Candidate must have experience in relational database development (SQL), data integration, ETL (extract, transform and load) tools and methods, analytics, reporting, and documentation. The position will be a team
Job Source: Colorado Community Managed Care NetworkNR Consulting
Denver, CO, United States
Job Title: Data Engineer Duration: 12 mos Contract Location: : Denver, CO , New York, NY , Houston, TX , Los Angeles, CA , and San Diego, CA Summary: The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and pra
Job Source: NR ConsultingConfluent
Denver, CO, United States
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and
Job Source: ConfluentRefined Science
Aurora, CO, United States
The Data Engineer position will have the following duties. Build data solutions to address health care issues. Create and maintain optimal data pipeline architecture, including building data systems. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvem
Job Source: Refined ScienceContact Government Services, LLC
Denver, CO, United States
Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into action
Job Source: Contact Government Services, LLCAquent
Greenwood Village, CO, United States
Overview Placement Type: Temporary Salary (USD): $48.90 to $54.33 Hourly Start Date: 06.24.2024 In this role you will be contracted to build and maintain scalable data pipelines on Google Cloud Platform (GCP) to serve our cyber security data mart customers in building an asset inventory. You will work closely with cross-functional teams to e
Job Source: AquentNetskope
Denver, CO, United States
About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we hav
Job Source: NetskopeDenver, CO, United States
Ready Foods is a family-owned company. Over the years, we have grown into a medium-sized company. We have been able to do this because we have a strong company culture that promotes inclusion and respect for the dignity of all people. We are looking for a Data Engineer who shares our commitment to people.
With over fifty years of manufacturing experience, Ready Foods is a mature, stable, and well-run business. While we are excellent at what we do, we nevertheless continually strive for perfection. Ready Foods has embraced lean manufacturing as our operating philosophy. We take inspiration from the Toyota Production System and the principles first elucidated by Shigeo Shingo and Taiichi Ohno.
Our new Data Engineer will play a key role in delivering Ready Foods’ vision of building a best-in-class Data and Decision Intelligence (DDI) ecosystem. This role will support 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. This role will be responsible for supporting the extract, transform, and load processes of our IIoT and enterprise data. The ideal candidate would not only have a passion for data and software development but also a deep appreciation for manufacturing and engineering principles. This position will report to the Chief Information Officer.
Responsibilities:
Integration of factory data and ERP data into on-premises and cloud-based 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 IIoT data.
Design, develop, and deliver the platforms and tools needed for optimal extraction, transformation, and loading of factory IIoT data.
Support the development and delivery of a Unified Data Model for our factories and the enterprise.
Partner cross-functionally with manufacturing and business stakeholders to ensure data validity and platform buy-in.
Support delivery of a master data solution for IIoT and enterprise data.
Design and deliver solutions to support real-time factory data streaming, events & condition monitoring, and predictive maintenance.
Structuring data sets for predictive models, cleaning data, and feeding it through ML models.
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.
Qualifications
Required Skills:
Proficiency in SQL and at least one object-oriented language (Python, Java, C#, etc.)
Experience with data warehousing in any cloud framework (Azure, AWS, GCP, etc.).
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.
Preferred Skills:
Bachelor's degree in data/computer science, an engineering discipline, or related.
Work experience in manufacturing.
Experience with Python data structures and data science libraries.
Experience with telemetry or time-series data sources.
Familiar with pipeline automation and unit testing.
Familiar with data streaming/integration tools (message brokers, WebSockets, REST APIs, etc.)
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Email Alert for Data Engineer jobs in Denver, CO, United States
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