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Data Engineer Jobs in Albany, OR (NOW HIRING)

Overview We are seeking a full-time Aircraft Systems Engineer 2 for Garmin's Salem, OR location. In ... data and documentation needed to support Garmin STC projects * Review and provide input for STC ...

New

... data manipulation, and defining strategies for successful project executions. Position ... Re-engineering of some components (re-coding, and other technical changes to accommodate ...

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... You hold a degree in Software Engineering, Electronic Engineering, Mechatronics, or equivalent ...

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Facilities Engineer

Junction City, OR · On-site

$80K - $100K/yr

Leverages data analysis, reporting, and visualization tools to identify trends, measure performance ... The Facility Engineer will be a representative of GreenCore Biofuels on site at JCCF and is ...

Write, debug, and refactor code in C# and related languages to support test control, data acquisition, logging, and visualization * Collaborate with hardware engineers on hardware/software co-design ...

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

With industry-leading safety standards and years of proven deployment data, we're pioneering a new ... Mentor and guide junior AI research engineers through project design, experiment execution, and ...

Showing results 41-60

Data Engineer information

See Albany, OR salary details

$44.4K

$129.4K

$177.1K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Albany, OR is $129,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Albany, OR?

The most popular types of Data Engineer jobs in Albany, OR are:

What job categories do people searching Data Engineer jobs in Albany, OR look for?

The top searched job categories for Data Engineer jobs in Albany, OR are:

What cities near Albany, OR are hiring for Data Engineer jobs?

Cities near Albany, OR with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Albany, OR as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $129,444 per year, or $62.2 per hour.

$26 - $27.50/hr

Full-time

Re-posted 10 days ago


Job description

OUR MISSION: MWVCAA invests in people and their futures to reduce the impacts of poverty.
Our Vision: We envision a just future, where our communities are empowered to reach positive outcomes and everyone is respected for their infinite worth.
GENERAL DESCRIPTION
The Data Systems Specialist is a key role within the agency, responsible for overseeing the implementation and management of various data systems. This grant-funded position is renewable based on the continuation of project funding. The individual in this role is an integral member of the Data and Compliance team, working to ensure the data systems are effectively implemented, managed, and used to support program objectives. In addition to system oversight, this position will assist with auditing, compliance, training, and reporting for CRP/HYS/CARS - ensuring these programs are aligned with regulatory requirements and agency policies. The individual will also provide limited grant-related support by assisting with subrecipient monitoring activities, documentation review, and data verification to help ensure grant compliance and data integrity.
MINIMUM QUALIFICATIONS The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION and/or EXPERIENCE
  • High school diploma or GED.
  • Three years of data systems experience and/or training in systems.
  • An equivalent combination of education and experience may be considered.

CERTIFICATES, LICENSES, REGISTRATIONS
  • Driver qualifications are required for this position. Valid driver's license insured vehicle available for use on the job, and a satisfactory drive record for the previous three years are required.
  • Candidate must pass a comprehensive MWVCAA background screening prior to employment.
  • Candidate must pass pre-employment and random drug/alcohol screenings.
  • Basic Life Support/First Aid Certification is required within first 30 days of hire.

KNOWLEDGE, SKILLS, AND ABILITIES
  • Advanced proficiency in computerized data systems, databases, and web-based applications, with the ability to independently manage, configure, and troubleshoot complex, multi-system environments.
  • Expertise working with large-scale datasets and modern data management/analytics tools (i.e. Power BI or similar reporting tool), with the ability to analyze trends, identify risks, and inform compliance and program decision-making.
  • Strong analytical skills with the ability to review, validate, interpret, and reconcile data across programs to ensure accuracy, integrity, and compliance with program, grant, and regulatory requirements.
  • Knowledge of federal and state regulations, grant requirements, and agency policies related to data collection, reporting, monitoring, and compliance.
  • Demonstrated expertise in designing, configuring, and optimizing data systems to support complex operational, compliance, and reporting requirements.
  • Knowledge of and experience applying data governance principles, including data definitions, validation rules, access controls, and data quality standards.
  • Advanced analytical capability to identify systemic data quality, compliance, and reporting risks and recommend corrective or preventive actions.
  • Capacity to serve as a subject-matter expert for agency data systems and provide consultative guidance to program leadership and stakeholders.
  • Proficiency in evaluating system performance and effectiveness, including identifying opportunities for automation, enhancement, and improved usability.
  • Ability to manage system changes, including application of system updates, policy changes, or new reporting requirements.
  • Ability to conduct monitoring and auditing activities, including review of documentation, identification of compliance issues, and support of corrective action processes for programs and grant subrecipients.
  • Effective written and verbal communication skills, including the ability to prepare reports, document findings, develop guidance materials, and provide training or technical assistance.
  • Excellent organizational, planning, and time management skills, with the ability to work independently, manage competing priorities, and maintain confidentiality.

ESSENTIAL DUTIES AND RESPONSIBILITIES This job description is not intended to be all-inclusive. Employee will also perform other reasonably related business duties as assigned by the immediate supervisor and other management as required.
  • Develops, configures, implements, and maintains multiple agency data systems (including HMIS, case management systems, grant management systems, and other data management platforms) to support program operations, compliance, and organizational goals.
  • Collaborates with agency programs to assess operational and reporting needs and translates those needs into data system functionalities.
  • Seeks out and collaborates with external software program developers to explore, add, and refine data systems that effectively serve programming needs.
  • Administers and works within HMIS and other data management systems to evaluate agency programs and subrecipient data quality, ensuring compliance with HUD, state, and agency data standards and reporting requirements.
  • Ensures data systems integrate effectively with existing tools, workflows, and processes; performs system testing and troubleshoots issues during development and implementation.
  • Takes locally-housed data from various agency programs to compile and synthesize data needed for the annual CSBG report. Follows up with programs to validate and/or collect additional data as necessary.
  • Analyzes data to create and distribute data quality reports to Program Managers to assess data quality performance, addressing potential issues.
  • Develops ways to automate reports and to improve end-user ease of use.
  • Maintains a grant management data system for subrecipients.
  • Responds to tickets submitted by subrecipients.
  • Serves as the primary point of contact for system users, providing technical assistance including troubleshooting user issues, resolving data entry challenges, and addressing program-level system concerns.
  • Designs, develops, and delivers training materials and resources (e.g., user manuals, presentations, video tutorials), and conducts live and virtual trainings for staff and subrecipients.
  • Provides ongoing training and technical support through one-on-one or group sessions, and develops sustainable support resources such as helpdesk processes, FAQs, and online reference materials.
  • Assists with auditing, monitoring, and compliance activities, including review of data, documentation, and system usage for agency programs and grant subrecipients.
  • Assists in drafting contracts and/or Memoranda of Understanding (MOUs) with external subrecipients and support subrecipient onboarding and training to ensure compliance with agency, HUD, and Oregon Housing and Community Services requirements.
  • Monitors subrecipient compliance, data quality, and spend-down rates, and assists Program Managers with internal program compliance and reporting standards.
  • Maintains confidentiality and data security while exercising sound judgment in system access, reporting, and compliance activities.
  • Complies with MWVCAA safety, personnel, attendance, and punctuality policies, and attend required training necessary to perform essential duties.

PHYSICAL AND MENTAL DEMANDS Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.
  • Specific vision abilities are required of this position. Frequently required to hear and speak.
  • Frequently lift up to 25 pounds; Occasionally lift up to 50 pounds.
  • Manual dexterity for handling computers, devices, and office equipment.
  • Frequent driving in all weather conditions to perform duties at Agency sites or client locations.
  • Regulates emotions and handles pressure of frequent demands for attention, time and work tasks.
  • Requires moderate planning, resourcefulness, and creative thinking with assistance from a direct supervisor.

WORK ENVIRONMENT
  • Regularly works indoors and outdoor in cold weather, heat and other extreme climate events.
  • Close quarters, often with a client population experiencing homelessness, substance us disorders, and/or severe and persistent mental illness, and/or unpredictable behavior.
  • Frequent interruptions and demands; frequent noise.
  • Occasional exposure to trash, bodily fluids, and malodorous air.
  • On-site work required. Occasional evening and weekend work may be required as needed.

MWVCAA is proud to be an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender expression, age, veterans, and people with disabilities or any other protected category. We welcome all people to join us in achieving our Mission. If you require any assistance in the application process, or reasonable accommodations to perform the essential duties of the position, please notify a member of our team at (503) 585-6232.