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Python Kubernetes Software Engineer Data Jobs in Oregon

Staff Infrastructure Engineer - Data Streaming

OR · On-site +1

$107K - $140K/yr

Strong understanding of Kubernetes internals and best practices for managing both stateless and ... Strong scripting or development skills (e.g., Python, Go, or similar). * Solid understanding of CI ...

New

Manage cloud-based infrastructure services, notably our fleet of Kubernetes clusters, and ... Experience building services in languages such as Go and Python using tools like Git, Docker, and ...

Senior Software Engineer, Site Reliability

OR · On-site +1

$57 - $75.75/hr

We use data-driven approaches to drive our decisions, and provide reports and insights to the ... Proficiency coding Python, Go, JavaScript/TypeScript * Proficiency with Infrastructure as Code ...

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

Address customer data handling, tenant isolation, auditability, observability, and secure ... What will you bring? * Strong Python backend engineering. 7+ years professional software ...

New

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

AI Developer/Engineer

OR · On-site +1

This role works closely with software engineers, data scientists, product owners, and business ... Proficiency in Python and experience with at least one additional programming language such as ...

Senior Software Engineer I

OR · On-site +1

$122K - $161K/yr

... Python with experience interacting with third-party APIs. * Expertise in SQL for data querying ... Experience with orchestration, containerization, and Kubernetes for scalable deployments.

New

Software Engineer, Backend (Platform)

OR · On-site +1

$198K - $295K/yr

Using DuckDB to enable seamless data interoperability between Python and SQL code written by our ... Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our ...

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 ...

Senior Software Engineer, Storage Infrastructure

OR · On-site +1

$122K - $161K/yr

Extend and improve services for internal data search and image processing * Operate and tune ... Experience maintaining infrastructure with Kubernetes and Terraform * Experience building services ...

AI Software Engineer

OR · On-site +1

Strong programming fundamentals in one or more programming languages such as Python, Java, C# ... Understanding of object-oriented programming (OOP) concepts and data structures. * Familiarity with ...

Principal Tetragon Software Engineer

OR · On-site +1

$134K - $180K/yr

... Java, Python, Go, etc.)applications * Enhance Tetragon capabilities to filter malicious network ... Kubernetes and cloud-native environments. * Familiarity with CVE workflows, vulnerability data ...

Provides shared services across language ecosystems (Java, JavaScript, Python/AI/ML and beyond ... Strong background in CI/CD, cloudnative infrastructure, and IaC: containers (Docker/OCI, Kubernetes ...

Showing results 41-60

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Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring Inc

Portland, OR

$59 - $78.25/hr

Full-time

Re-posted 21 days ago


Job description

Job Title: Senior Software Engineer- Big Data amp; MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models amp; Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data amp; Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases amp; SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search amp; Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend amp; Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure amp; DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.
Education: Bachelor’s Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.