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Weekend Data Engineering Jobs in Oregon (NOW HIRING)

Bespoke Labs

Data Engineer

Eugene, OR · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Salem, OR · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Gresham, OR · On-site

$120K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

TCGplayer, Inc.

Staff Data Eng, Data Systems, TCGplayer

OR · On-site +1

$136K - $228K/yr

  • Medical

  • Retirement

  • PTO

The Data Engineering team helps make that experience possible by building the systems, standards, and partnerships that make data easier to trust, easier to work with, and easier to scale across ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Requirements: * 10+ years of experience in a data-related role, with prior professional data engineering experience. * Strong hands-on experience with Databricks, Spark, Python, Snowflake, and SQL

New

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation. You'll join our Analytics Engineering team and partner ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation. You'll join our Analytics Engineering team and partner ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation. You'll join our Analytics Engineering team and partner ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation. You'll join our Analytics Engineering team and partner ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

... Data Engineering or equivalent role * Strong proficiency in SQL and at least one scripting language (Python preferred) * Hands-on experience building and maintaining ETL/ELT pipelines at scale

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

  • Retirement

  • PTO

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Grant Street Group

OR · On-site

$80K - $180K/yr

Experience with cloudbased data engineering (AWS, GCP) * Experience with tools for largescale data migration (Databricks) * TechOps skills that help you support analytics tools, patch and update ...

Defense Unicorns

Data Engineer (FedD024)

OR · On-site +1

$114K - $137K/yr

Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies * Architecting, deploying, and ...

Pantheon Systems, Inc

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation. What you Need to Succeed * Customer ...

campus4tech

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Engineer 5 Location- Beaverton, OR, United States, 97005 Reporting Type- Onsite Duration: 9+ Months Summary GT Title: Data Engineer Requirements Typically requires a Bachelors Degree ...

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Showing results 21-40

All JobsData Engineering JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Oregon

Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Oregon?

The most popular types of Data Engineering jobs in Oregon are:

Weekend Data Engineering jobs near you

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring, Inc.

Portland, OR • On-site

$121K - $145K/yr

Full-time

Re-posted 21 days ago

Job description

Job Title: Senior Software Engineer- Big Data & 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 & 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:
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 & 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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