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Python Kubernetes Software Engineer Data Jobs in Phoenix, AZ

... years of experience with Python, focused on backend or data-driven development. * Deep ... Kubernetes, etc.). * Excellent communication skills; ability to collaborate across engineering and ...

... Kubernetes clusters, networking, and application services. With an emphasis on security ... Build and maintain distributed systems including APIs, microservices, data services, and job ...

... Kubernetes clusters, networking, and application services. With an emphasis on security ... Build andmaintaindistributed systems including APIs, microservices, data services, and job ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

Partner with Data Science teams to operationalize and scale Python-based prototypes into production ... Cloud & DevOps: Proficiency in One of these AWS, Azure, or GCP, alongside Docker and Kubernetes.

Bonus Points * Experience supporting libraries and writing in Python and Golang. * Experience ... Grafana, BigQuery, Kubernetes. * Experience working in data and engineering tooling, e.g. discovery ...

Design and implement APIs and data models using Golang, Python, GraphQL, and Postgres . * Drive CI ... Kubernetes and container orchestration * Terraform and cloud infrastructure (AWS preferred)

Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages. * Familiarity ... Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps. * Solid understanding of ...

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Data Engineer /Software Engineer in Phoenix and Scottsdale, AZ 85255

Amicis Global

Scottsdale, AZ • On-site

$60 - $64/hr

Contractor

Posted 6 days ago


Job description

Job Title: Software Engineer   
Location: Phoenix and Scottsdale, AZ 85255 - Hybrid   
Duration: 11+ Months
 
Summary:
The Software Engineer, Data will be responsible for designing, developing, and maintaining robust data solutions that enable efficient storage, processing, and analysis of large-scale datasets. This role focuses on building scalable data pipelines, optimizing data workflows, and ensuring data integrity across systems. The engineer collaborates closely with cross-functional teams—including data scientists, analysts, and business stakeholders—to translate requirements into technical solutions that support strategic decision-making. A successful candidate will have strong programming skills, deep knowledge of data architecture, and experience with modern cloud and big data technologies, while adhering to best practices in security, governance, and performance optimization.
Principal Duties And Responsibilities:
  • Design and implement scalable, reliable, and secure data solutions.
  • Proficient in SQL and data modeling concepts.
  • Develop data models and schemas optimized for performance and maintainability.
  • Build and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources.
  • Optimize data workflows for efficiency and cost-effectiveness.
  • Collaborate closely with data analysts and business teams to understand their requirements.
  • Build frameworks for data ingestion pipelines that handle various data sources, including batch and real-time data.
  • Participate in technical decision-making.
  • Design, develop, test, deploy, and maintain data processing pipelines.
  • Design and build scalable, reliable infrastructure with a strong focus on quality, security, and privacy techniques.
  • Communicate complex technical concepts effectively to diverse audiences.
  • Understand business KPIs and translate them into technical solutions.
  • Create detailed technical documentation covering processes, frameworks, best practices, and operational support.
  • Provide constructive feedback during code reviews.

Position Specifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or Information Systems Technology
  • 5+ years of overall experience in software development using Python
  • Strong experience with SQL and database technologies (Relational and NoSQL).
  • Hands-on experience with data pipeline frameworks (e.g., Apache Spark, Airflow, Kafka).
  • Familiarity with cloud platforms (GCP) and data services.
  • Knowledge of data modeling, ETL/ELT processes, and performance optimization.
  • Strong analytical and communication skills: verbal and written
 
 
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