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Github Software Engineer Jobs in Portland, OR (NOW HIRING)

Data Engineer I

Tualatin, OR · On-site

$100K/yr

The Data Engineer I works with cross-functional teams to develop and support data ingestion, transformation, and reporting solutions for ZincFive's NiZn-based products, battery systems, manufacturing

New

Showing results 21-40

Github Software Engineer information

See Portland, OR salary details

$67.3K

$156.4K

$217.9K

How much do github software engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for github software engineer in Portland, OR is $156,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $183,500.00 per year, depending on experience, location, and employer.

What is a GitHub software engineer?

A GitHub Software Engineer is responsible for developing and maintaining software solutions that enhance GitHub’s platform and services. They work with various programming languages, contribute to open-source projects, and collaborate with teams to improve developer workflows. Their role involves coding, debugging, reviewing pull requests, and optimizing performance for millions of users worldwide.

What does a typical day look like for a GitHub software engineer?

A typical day for a Github Software Engineer involves collaborating with team members through code reviews, participating in daily standup meetings, and working on new feature development or maintenance of existing systems. You’ll frequently interact with cross-functional teams, including product managers and designers, to deliver improvements and solve technical challenges efficiently. Expect to spend significant time coding, troubleshooting issues, and utilizing tools like GitHub Actions for automation and deployment. Continuous learning and staying up-to-date with open-source trends are also common, as Github encourages innovation and personal growth within its engineering teams.

What are the key skills and qualifications needed to thrive in the GitHub software engineer position, and why are they important?

To thrive as a Github Software Engineer, you typically need strong proficiency in programming languages like Python, Ruby, or Go, experience with distributed systems, and a degree in computer science or related field. Familiarity with tools such as Git, GitHub Actions, Docker, and CI/CD pipelines is essential, along with knowledge of cloud infrastructure and agile development practices. Excellent collaboration, problem-solving skills, and the ability to communicate complex technical ideas clearly are valuable in this position. These competencies ensure smooth product development, efficient team workflows, and the delivery of high-quality software to a global user base.

What are the most commonly searched types of Github Software Engineer jobs in Portland, OR?

The most popular types of Github Software Engineer jobs in Portland, OR are:

What are popular job titles related to Github Software Engineer jobs in Portland, OR?

For Github Software Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Github Software Engineer jobs in Portland, OR look for?

The top searched job categories for Github Software Engineer jobs in Portland, OR are:

Infographic showing various Github Software Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $156,399 per year, or $75.2 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

Portland, OR • On-site

RXinsider LTD.
Marketing • 11 - 50 employees

$121K - $145K/yr

Other

Posted 7 days ago


Job description

Senior Software Engineer- Big Data & MCP, Data Foundations

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 & 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 & 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
  • 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 & 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 & 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 & 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 & 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.

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