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Weekend Data Engineering Jobs in Oregon (NOW HIRING)

Industrial Data Engineer

Sisters, OR · On-site

$114.70K - $137.70K/yr

The position converts raw operational and business data into trusted datasets, dashboards, and automated reports used by engineering, operations, customers, and regulatory stakeholders. Success in ...

OR

$114.40K - $137.40K/yr

As a senior technical expert, you will collaborate cross-functionally with engineering, analytics, and product teams to design data systems that are secure, efficient, and cost-effective. You will ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

$114.40K - $137.40K/yr

Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting. Generally focused on data ingestion for healthcare data management, data validation ...

Data Engineer

OR · Remote

$114.40K - $137.40K/yr

Job Level Sr. Eng I-II Requirements * 5+ years of Data Engineering or Backend Engineering experience , specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall ...

OR · On-site

$114.40K - $137.40K/yr

Partner with platform engineering, security, analytics, and application teams to align ontology design with operational needs. * Communicate complex ontology and data concepts clearly to both ...

OR

$100K - $110K/yr

This role extends beyond traditional data engineering to include system-to-system integration using Boomi, orchestration of business-critical workflows, and active participation in the design and ...

OR · On-site

$89K - $148K/yr

A minimum of Four (4) to Eight(8) years of experience in data engineering with at least 2+ years working in AWS cloud environments. * Strong expertise in AWS data services, including S3, Glue, DMS ...

New

OR

$114.40K - $137.40K/yr

Develop reusable frameworks, libraries, and standardized patterns to improve data engineering productivity and consistency. * Implement CI/CD pipelines for data workloads to enable automated testing ...

New

OR · On-site

$114.40K - $137.40K/yr

This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed ...

$122.21K - $180.57K/yr

Minimum of 5 years of hands-on data engineering experience in enterprise or DoD environments * Strong proficiency in SQL and Python (or Scala) for data transformation and pipeline development

OR · On-site

$114.40K - $137.40K/yr

The Security Data Engineering team builds data products which provide visibility into security and fraud risks across customer accounts as well as internal systems and data. This role is specifically ...

OR · Hybrid

$170K - $720K/yr

The Security Data Engineering team builds data products which provide visibility into security, fraud and technology risks across customer accounts as well as internal systems and data. This role is ...

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Showing results 1-20

Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

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.

What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Weekend Data Engineering jobs? Cities in Oregon with the most Weekend Data Engineering job openings:

Industrial Data Engineer

ESI Solutions

Sisters, OR • On-site

$114.70K - $137.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Industrial Data Engineer

Company Overview

ENERGYneering Solutions (ESI), a division of TransTech Energy, provides exceptional technical expertise in engineering and operations for the biogas utilization and management industries. Since 2007, ESI has specialized in design, construction, and operations for biogas projects that collectively produce over one million MWh of renewable electricity and over 50 million gallons of renewable vehicle fuel every year. ESI is built upon the principle of providing our clients with unmatched experience, flexibility, and follow-through.

Job Overview

ESI is seeking an Industrial Data Engineer to design, build, and maintain data solutions that connect operational technology (OT) systems with enterprise analytics. This role develops scalable ingestion, transformation, and storage pipelines for SCADA platforms, relational databases, enterprise systems, and reporting tools. The position converts raw operational and business data into trusted datasets, dashboards, and automated reports used by engineering, operations, customers, and regulatory stakeholders.

Success in this role requires a builder's mindset, strong SQL and SCADA skills, comfort working with industrial systems, and the ability to translate operational needs into reliable data products. The Industrial Data Engineer supports the full delivery lifecycle, including requirements gathering, code development, testing, CI/CD, production deployment, documentation, user support, and ongoing optimization.

Work Location and Reporting

This is role based in Sisters, Oregon (Headquarters). The Industrial Data Engineer reports to the IT & Network Lead.

Key Responsibilities

· Develop intuitive dashboards and automated production reports for RNG facilities, internal stakeholders, external clients, and regulatory bodies such as the EPA.

· Create reliable, consumable data models for Power BI, Tableau, and other analytics tools, with clear definitions for KPIs, operational metrics, and data trends.

· Design, build, and maintain scalable data ingestion, transformation, and storage pipelines that support enterprise analytics and operational reporting.

· Integrate data from SCADA systems, including Ignition, FactoryTalk, Wonderware and similar platforms, with enterprise systems and analytics.

· Monitor and optimize dashboards, applications, queries, and pipelines; improve data integrity, security, availability, and performance.

· Develop and maintain software applications and scripts that support RNG facility operators, site owners, engineering teams, and business users.

· Connect software and data solutions with existing platforms used by RNG facilities, ensuring reliable data flow across systems.

· Use Git/GitHub and modern development practices to support code review, testing, deployment to production, and ongoing platform improvement.

· Provide technical support, documentation, and user training so teams can effectively use data tools, dashboards, and software solutions.

· Partner with engineers, project managers, facility operators, IT, and operations teams to understand needs and deliver practical, maintainable solutions.

· Maintain clear documentation for data pipelines, data models, software applications, integrations, dashboards, reports, and support processes.

· Other duties as assigned.


Qualifications

Required / Core Qualifications

· Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Data Analytics, or a related field preferred; equivalent practical experience will be considered.

· 3-4+ years of experience in data engineering, software development, business intelligence, analytics engineering, or a closely related technical role.

· Strong SQL skills and experience working with relational databases such as PostgreSQL, Microsoft SQL Server, MySQL, or similar systems.

· Working knowledge of Python, JavaScript, HTML, and/or Java.

· Experience building dashboards and reports using Power BI, Tableau, or similar visualization tools.

· Experience building ETL/ELT processes, data pipelines, and structured datasets from multiple source systems utilizing prefect and DBT or similar.

· Familiarity with SCADA or industrial automation platforms such as Ignition, FactoryTalk, Wonderware, or similar systems.

· Experience with Git/GitHub and development lifecycle practices such as code review, testing, CI/CD, and deployment support.

· Strong analytical, troubleshooting, and problem-solving skills, with attention to data quality and operational reliability.

· Excellent verbal and written communication skills, including the ability to explain technical concepts to non-technical users.

· Ability to work independently, manage priorities, self-motivate, and collaborate effectively in a fast-paced team environment.


Preferred Qualifications

· Experience in renewable energy, renewable natural gas (RNG), utilities, industrial operations, or process manufacturing environments.

· Experience with time-series or historian data, SCADA tags, OPC UA, MQTT, APIs, or other industrial data integration patterns.

· Advanced SQL skills, including window functions, query optimization, deduplication, stored procedures, and performance tuning.

· Experience with cloud or modern data platforms such as Microsoft Azure, Microsoft Fabric, AWS, Snowflake, Databricks, or similar technologies.

· Knowledge of AI, machine learning, advanced statistical methods, or predictive analytics.

· Understanding of OT/IT security, data governance, and documentation practices in industrial environments.


Benefits Designed to Work for You:

· Choice of healthcare plans, with a no-cost HSA option

· Company HSA contributions for eligible employees

· 401(k) with generous company match and full vesting upon eligibility

· Dental, vision, and optional coverages like accident & critical illness insurance

· Company-paid Life, Long Term Disability, and AD&D insurance

· Confidential support for mental health, family matters, legal concerns, and more through our Employee Assistance Program

· Discounts on gyms, shopping & entertainment

· Health benefits kick in fast – first of the month after 30 days

Time Off We offer a variety of paid time off options to support rest, wellness, and personal needs:

· Paid Time Off

· Paid Holidays

· Bereavement Leave


This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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