Junior Machine Learning Data Engineer

Progressive

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress. As a machine learning data engineer, you’ll work on a Claims...

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Junior Machine Learning Data Engineer

Progressive

Updated 1 day ago
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United States Remote Full-Time 📅 19 days ago

About this role

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress. As a machine learning data engineer, you’ll work on a Claims IT team focused on developing machine learning platform solutions for machine learning operations and deployment. You'll use data-focused software engineering and languages like Python to solve problems with techniques you may need to research, learn, and implement. You’ll use your strong technical experience to develop and deploy the machine learning platform. You’ll build and deploy these solutions leveraging cloud services and resources from cloud providers. You’ll also build out the necessary data pipelines to support Data Science models, enable efficient access to multiple data sources, support packaging and deploying new models or updated models to production, and create the necessary infrastructure needed for model training. This is a remote position for US based work only. Must-have qualifications Bachelor's Degree or higher in an Information Technology discipline or related field of study and minimum of one year of work experience designing, programming, and supporting software programs or applications.In lieu of degree, minimum of two years related work experience designing, programming, and supporting software programs or applications may be accepted.Preferred skillsData focused software engineer with experience integrating cloud services and resources (e.g., AWS - S3, EC2) and with ability to process large volumes of structured and unstructured dataExperience with Unix/Shell scripting, Bash, NEO4J, Hadoop, Snowflake or Tecton, Terraform, Docker, highly proficient in Python and experience with one or more parallel computing and/or data manipulation tools (e.g., Ray, Dask, Prefect, Spark, SQL or multiprocessing package)Deployment of machine learning models for real-time use cases and understanding of machine learning algorithmsExperience designing and evaluating approaches to high volume real-time data streamsCI/CD automation (e.g., Jenkins or Azure DevOps) Compensation$97,650 - $108,500/yearGainshare annual cash incentive payment up to 30% of your eligible earnings based on company performance Benefits401(k) with dollar-for-dollar company match up to 6%Medical, dental & vision, including free preventative careWellness & mental health programsHealth care flexible spending accounts, health savings accounts, & life insurancePaid time off, including volunteer time offPaid & unpaid sick leave where applicable, as well as short & long-term disabilityParental & family leave; military leave & payDiverse, inclusive & welcoming culture with Employee Resource GroupsCareer development & tuition assistanceOnsite gym & healthcare at large locations Energage recognizes Progressive as a 2025 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership. Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment. Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role. Equal Opportunity Employer For ideas about how you might be able to protect yourself from job scams, visit our scam-awareness page at https://www.progressive.com/careers/how-we-hire/faq/job-scams/#LI-remote

About the Company

Progressive is a leading insurance company focused on innovation and employee growth.

Key Highlights

  • Work remotely with flexible hours.
  • Develop machine learning solutions for claims operations.
  • Utilize Python and cloud services for deployment.
  • Build data pipelines for Data Science models.

💡 Honest Take: This job is great for those looking to break into machine learning, but be prepared to constantly learn and adapt to new technologies. The pay isn't listed, so make sure to ask about that upfront.

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