Machine Learning Engineer (28484)Dahl Consulting • Brooklyn Park, MN, United States
Machine Learning Engineer (28484)
Dahl Consulting • Brooklyn Park, MN, United States
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job_description.job_card.job_descriptionStrong experience with Apache Spark, PySpark, Hadoop, Hive, and Big Data ecosystems . Proficiency with Python, Bash , and working knowledge of R . Hands-on with Git / GitHub workflows (PRs, code reviews). Docker for containerized environments. Troubleshooting distributed systems at scale. Airflow (or equivalent orchestration tools). Terraform for infrastructure-as-code. Grafana / Kibana for monitoring. MLOps practices and OpenTelemetry (OTEL). Bash scripting & REST API integrations. A problem-solver with strong analytical and troubleshooting skills. Someone who communicates clearly and thrives in cross-functional collaboration . A proactive engineer who prioritizes operational reliability while driving innovation.
Machine Learning Engineer (W2 Contract - not open for C2C / 1099)
Brooklyn Park, MN | Onsite
6-Month Contract with potentail to extend
Pay Range : $60 – $90 / hour (W2) + benefits
About the Role
We’re looking for an experienced Machine Learning Engineer to join our team on a 6-month contract, with potential extension. In this role, you’ll support and enhance large-scale batch forecasting workflows running on Spark clusters, leveraging R, Python, Bash, and Terraform. You’ll balance daily operational support with code improvements , ensuring high system reliability while driving continuous enhancements.
If you thrive at the intersection of big data, machine learning, and distributed systems , this role gives you the opportunity to make an immediate impact.
What You’ll Do
- Monitor & Troubleshoot large-scale workflows on Spark / YARN to ensure smooth daily operations.
- Enhance existing jobs using Python (PySpark), Bash, R, and Terraform to improve functionality, stability, and performance.
- Implement observability & monitoring with OTEL, Kibana, Grafana, and custom instrumentation.
- Collaborate via GitHub , contributing code through PRs, reviews, and branching strategies.
- Balance ops and dev by minimizing downtime while proactively building system improvements.
Must-Have Skills
Nice-to-Have Skills
What We’re Looking For
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary :
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Machine Learning Engineer • Brooklyn Park, MN, United States
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