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Python Kubernetes Software Engineer Data Jobs in Lake Elmo, MN

Leidos is seeking a Junior Software Engineer , who will be a member of a dynamic team in ... Modern Development ( Python, Java, C++, PHP), Structured Data (XML, XSD, XSLT, JSON, CSV), Agile ...

Senior Software Engineer, AI

Eagan, MN · On-site

$124K - $164K/yr

Strong proficiency in Python and practical experience with AI/ML frameworks (e.g., PyTorch ... Kubernetes, Terraform); ability to integrate AI models into production systems via APIs, data ...

Senior Software Engineer, AI

Eagan, MN · On-site

$124K - $164K/yr

Strong proficiency in Python and practical experience with AI/ML frameworks (e.g., PyTorch ... Kubernetes, Terraform); ability to integrate AI models into production systems via APIs, data ...

Principal Software Engineer

Eagan, MN · Hybrid

$137K - $184K/yr

... Python, or Go) and API design * Strong understanding of RESTful APIs, database design, and data ... Familiarity with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers ...

Sr. Data & Software Engineer

Minneapolis, MN · On-site

$127K - $168K/yr

Requirements: 5+ years of relevant data & software engineering development experience Highly proficient in SQL, Python, command-line tools, and ETL/ELT pipelines for large datasets, including AI and ...

Showing results 41-60

Python Kubernetes Software Engineer Data information

What cities near Lake Elmo, MN are hiring for Python Kubernetes Software Engineer Data jobs?

Cities near Lake Elmo, MN with the most Python Kubernetes Software Engineer Data job openings:

Data Engineer - Minneapolis, MN, Detroit, MI, Madison, WI, Columbus, OH, Chicago, IL.

TechniPros, LLC

Minneapolis, MN • On-site

$119K - $143K/yr

Other

Posted 23 days ago


Job description

Job Title: Principal Data Engineer
Location: Minneapolis, MN, Detroit, MI, Madison, WI, Columbus, OH, Chicago, IL.
Long Term Contract
Looking for W2 candidates. No C2C

Job Summary:
We are looking for a Principal Data Engineer to architect enterprise-scale data platforms supporting AI, Machine Learning, analytics, and real-time data processing. The ideal candidate should possess deep expertise in distributed systems, modern data architecture, and cloud-native engineering.

Key Responsibilities:
•    Architect enterprise data platforms. 
•    Design Data Lakehouse architecture. 
•    Build real-time streaming solutions. 
•    Develop enterprise data APIs. 
•    Design Data Mesh architecture. 
•    Implement enterprise metadata management. 
•    Build scalable cloud-native data services. 
•    Optimize large-scale data processing. 
•    Mentor engineering teams. 
•    Define enterprise data engineering standards. 

Required Skills:
•    Python 
•    SQL 
•    Databricks 
•    Spark 
•    Kafka 
•    Snowflake 
•    dbt 
•    Apache Iceberg 
•    Delta Lake 
•    Airflow 
•    Kubernetes 
•    Docker 
•    Terraform 
•    Data Mesh 
•    Data Lakehouse 

Preferred Skills:
•    Microsoft Fabric 
•    AWS 
•    Azure 
•    Google Cloud Platform 
•    Unity Catalog 
•    AI Data Pipelines 

Mandatory Skills:
•    Databricks 
•    Spark 
•    Kafka 
•    Snowflake 
•    Data Lakehouse 
•    Apache Iceberg 
•    dbt 
•    Airflow 
•    Python 
•    SQL 
•    Kubernetes 
•    Data Mesh

Best Regards:

Bindu M
Phone: 307–298-2022
Email: