Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Janus Henderson Investors
Denver, CO, United States
Why work for us? A career at Janus Henderson is more than a job, it’s about investing in a brighter future together . Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core
Job Source: Janus Henderson InvestorsTipico - North America
Denver, CO, United States
The Data Engineer will report directly to the VP of Data or team lead and work together with the rest of the data engineers, BI analysts, and product teams The Data Engineer is responsible for developing, constructing, testing and maintaining Tipico’s data platform and pipelines This is achieved by ensuring the infrastructure is reliable and a high
Job Source: Tipico - North AmericaPenn Foster
Denver, CO, United States
We are an integrated design firm with a promise to elevate the human experience through design. This fuels the work we do around the world and inspires our mission to improve the lives of our clients, our communities, and our planet. If this sparks your interest, you’re in the right place. About the team: DLR Group’s Design Technology team consists
Job Source: Penn FosterDenver Public Schools
Denver, CO, United States
ENGINEER, DATA (JOB ID: 65013) OFFICE OF OPERATIONS Traditional 235 work days per year FTE: 1.0 Salary Range: $103,567 - $126,851 Essential Functions and Objectives: Responsible for ingesting critical District data from applications and other sources into a warehouse environment and preparing the data for consumption using an E
Job Source: Denver Public SchoolsArrow Electronics
Centennial, CO, United States
Data Engineer (Arrow Electronics, Inc., Centennial, CO*): Understand business requirements and provide suitable software design. Design, implement and maintain production level data pipeline across various data sources. Prototype software solutions to prove out the technical feasibility and business value. Scale up prototypes (ETL/ML model/services
Job Source: Arrow ElectronicsContact 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, LLCIbotta, Inc.
Denver, CO, United States
Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. Accelerating development of our cutting-edge data platform as a leader in the Data Platform Organization, you will work with both engineering and analytics to develop and own stable, scalable, and approachable data
Job Source: Ibotta, Inc.hear.com
Denver, CO, United States
We're hear.com, a tight-knit crew of tech enthusiasts, creators, and innovators dedicated to shaking things up in hearing care. We're not your average company—we thrive on creativity, collaboration, and a passion for making a real impact. Forget the corporate jargon and stiff office culture; we believe in flexibility, growth, and always having fun
Job Source: hear.comAurora, 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 improvements including automating manual processes, optimizing data delivery, re-assigning infrastructure for greater scalability. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS "big data" technologies. Build and develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. Keep data from multiple data centers secure and HIPPA compliant. Work with data and analytics experts to strive for greater functionality in data systems. Analyze, organize, and combine raw data. Transform data into a format that can be easily analyzed by developing, maintaining, and testing infrastructures for data generation. Conduct complex data analysis and report on results. Prepare data for prescription and predictive modeling. Build algorithms and prototypes. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition. Utilize the following tools and technologies: Airflow, Google Cloud Platform (GCP), Python, PyCharm, R Studio, Google Cloud Functions, Google Big Query, PL/SQL, Egnyte, Object Oriented Programming, Data Mart, Spark, and Scala. Position requires domestic travel up to 20% as needed and customary for the occupation. Position allows work from home anywhere in the United States. Headquarters are located at Bioscience 1, 12635 East Montview Blvd. Ste. 175, Aurora, CO 80045.
The position requires a Master's Degree or foreign equivalent degree in Data Science, Computer Science, Information Technology or closely related field. The qualified candidate must have at least 3 years (36 months) of experience in a data engineer position or closely related occupation. The qualified candidate must also have at least 3 years (36 months) of experience with all of the following: (a) building and developing analytics tools that utilize the data pipeline to provide actionable insights; (b) building, designing, and architecting technical data solutions for complex business and information problems; (c) creating and maintaining optimal data pipeline architecture, including building data systems; (d) identifying, designing, and implementing internal process improvements including automating manual processes, optimizing data delivery, and re-assigning infrastructure for greater scalability; and (e) utilizing the following tools and technologies: Airflow, Google Cloud Platform (GCP), Python, PyCharm, R Studio, Google Cloud Functions, Google Big Query, PL/SQL, Egnyte, Object Oriented Programming, Data Mart, Spark, and Scala. All Experience may be gained concurrently.
Email Alert for Data Engineer jobs in Aurora, CO, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.