Senior Colorado Startup and Tech Jobs

11

Machine Learning Engineer

TruU
Greater Boulder Area
3 days ago
Develop state of the art deep and machine learning programs for risk modeling and analysis, user identification, and anomaly detection.  Design, implement, and validate solutions in Python using machine learning libraries like PyTorch, TensorFlow, and scikit-learn. Collect data and extract insights from various sources including but not limited to web APIs,  internal databases, data warehouses, log files, and mobile sensors.   Closely work with the engineering team to integrate the solutions into TruU’s platform.   Very familiar with best practices in machine learning.  Keep up to date with latest technology trends. 

Senior Data Engineer

Fanatics
Greater Boulder Area
6 days ago
+11
The FanStreams team at Fanatics has the grand vision of making many of the traditional batch-oriented processes into real time systems and is seeking a Senior Data Engineer with the passion and ingenuity to build streams of data across various domains of Fanatics world. These streams will power Data Science, BI & Site optimizations. The FanStreams team is responsible for building, managing complex stream processing topolgies using the latest open source tech stack, build metrics and visualizations on the generated streams and create varied data sets for different forms of consumption and access patterns. We’re looking for a seasoned engineer to help us build and scale the next generation of streaming platforms and infrastructure at Fanatics.

Senior Database Engineer

The Trade Desk
Greater Boulder Area
1 week ago
+28
We are looking to hire a Senior Database Engineer who will work in collaboration with our engineering team to ensure aligned execution of database related activities. You enjoy investigating database problems, performance issues, and evaluating best practices to ensure optimal performance on the platform.

Engineering Technical Lead, Data Platform

Recurly
Greater Boulder Area
1 week ago
+32
Recurly’s Data Platform team is responsible for building a data platform to provide critical business insights to internal and external customers. We develop reporting functionality built with complex business logic involving large data sets and provide export capabilities that allow our merchants to access their data in a secure, reliable manner. As the technical lead, you will define the technical vision and direction for a modern data platform and work closely with a team of engineers to deliver on the vision. This includes leadership on everything from process, defining requirements, architecture, development and testing.

Senior Data Engineer

Gloo
Greater Boulder Area
1 week ago
+21
As a member of Gloo’s newly formed Data Engineering team, your role is to bring your passion and experience in big data technologies and contribute to building a world class data management platform. Working in concert with teams throughout the organization you will be gathering, organizing, slicing and dicing data elements from dozens of sources to create a super slick platform that you are proud to put your name on. Your expertise and innovation will help expand and optimize our data pipeline architecture to build the next generation of data products and initiatives.

Software Engineer, Data

Gusto
Greater Denver Area
1 week ago
+26
We’re looking for talented and motivated engineers with 5+ years of experience. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!

Sr. Data Scientist

TruU
Greater Boulder Area
1 week ago
Develop models for user identification and behavioral risk analysis using state of the art deep-learning and machine learning techniques. Design, implement, and validate your solutions in Python using machine learning libraries like PyTorch, TensorFlow, and scikit-learn. Work with our engineering team to integrate your solution into TruU’s platform.   Very familiar with best practices and new research in deep and machine learning. Present TruU algorithms and techniques at machine learning conferences and meetups. 

Data Engineer

Qwinix
Greater Denver Area
2 weeks ago
We are building a a new team from ground up. A successful Data Engineer will have the following: Advanced SQL experience with a critical mass of publicly available database technologies The ability to build CI/CD pipelines with large data sets and cloud technologies Prior experience extracting data disconnected data repositories Functional expertise in data streaming, message queues and scalable near-real time data stores Prior experience

Engineering Team Lead - Machine Learning Tools

Alteryx, Inc.
Greater Denver Area
3 weeks ago
+14
We're looking for a Team Lead for the Smart/Predictive investment area, where we build out machine learning tools to enable our users to easily build complex predictive models. A successful team lead will be a player-coach - someone that can help keep the team moving forward, but also step in and get your hands dirty when necessary. You will be managing a small group of talented, motivated engineers delivering a cutting-edge software product.

Senior Product Analyst, Strava Business

Strava
Greater Denver Area
3 weeks ago
+19
Job Summary The Senior Product Analyst will work closely with Product Managers, Designers, Engineers, and Marketers to influence product strategy and optimization opportunities. You will develop insights, create visibility for key business metrics, and drive decisions with data. The successful candidate will have curiosity, a passion for data, and a desire to impact the business. Responsibilities Develop insights that further our understanding

Lead Data Engineer

ThoughtWorks
Greater Denver Area
3 weeks ago
As a Senior Data Engineer, here's what we'll be looking for you to bring: Hands-on Engineering Leadership. Proven track record of Innovation and expertise in Data Engineering. Tenure in coding, architecting and delivering complex projects. Deep understanding and application of modern data processing technology stacks. For example Spark, Hadoop ecosystem technologies, and others. Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing. Deep understanding of NoSQL technologies including column family, graph, document, and key-value data storage technologies. Understanding of how to architect solutions for data science and analytics such as productionizing machine learning models and collaborating with data scientists.

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