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Data Engineer Jobs in Albany, OR (NOW HIRING)

Director, Data Engineering We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities ...

Director, Data Engineering We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities ...

Director, Data Engineering We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities ...

Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems * Extract Transform ... Load (ETL) * Product Leadership * Python (Programming Language) * Roadmap Develoiper * Scalability

Lead Data Privacy Engineer

Salem, OR ยท On-site

$107 - $284/hr

The Lead Data Privacy Engineer will play a critical role in advancing enterprise privacy engineering and data protection capabilities that safeguard sensitive information while enabling secure ...

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The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

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The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

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Be Seen First

The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

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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 23, 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.

Director, Data & Analytics

LAM Lennar Associates Mgmt LLC

Salem, OR โ€ข On-site

$180 - $230/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Director, Data Engineering

We are Lennar Lennar is one of the nationโ€™s leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500ยฎ company and consistently ranked among the top homebuilders in the United States.

A Career that Empowers You to Build Your Future

The Director of Data Engineering leads a team of data engineers, analysts, and data scientists to deliver high-impact data insights that drive strategic business decisions and shape organizational strategy. This role is responsible for setting and driving the overarching strategic vision for the analytics function across the organization. The Director oversees enterprise-wide operations, ensuring alignment with long-term business goals and influencing senior leadership on data-driven decision-making at the highest level. This position involves collaborating with senior executives to integrate business strategies with large-scale analytics initiatives and shaping the strategic direction of data efforts. The Director provides leadership to senior managers and team leads, focusing on strategic mentorship and development to drive innovation and excellence across the teams. They are accountable for defining and implementing organization-wide performance metrics, leading major data initiatives with significant impact, and ensuring alignment with broad business objectives. In addition to overseeing complex, cross-functional projects, the Director is pivotal in shaping data governance policies and ensuring the scalability and strategic alignment of analytics capabilities. They play a critical role in driving organizational change through data and are expected to lead transformative initiatives that enhance the companyโ€™s competitive advantage and long-term success.

Responsibilities
  • Lead, mentor, and develop a team of data engineers, analysts, and scientists, ensuring alignment with organizational goals.
  • Foster a collaborative and innovative team culture, promoting continuous learning and professional growth.
  • Oversee the planning, execution, and delivery of data and analytics projects, ensuring they are completed on time, within scope, and meet business requirements.
  • Prioritize and allocate resources effectively to meet project demands, balancing short-term needs with long-term strategic objectives.
  • Collaborate with cross-functional teams to identify and translate business needs into actionable analytics projects.
  • Act as the primary point of contact for stakeholders, ensuring clear communication and alignment on project goals and outcomes.
  • Ensure adherence to data governance policies, standards, and regulatory requirements, maintaining the integrity and security of data.
  • Implement and enforce best practices for data management, quality, and privacy within the team.
  • Track and report on key performance indicators (KPIs) for the teamโ€™s projects and initiatives, ensuring alignment with business objectives.
  • Provide regular updates to senior leadership on the progress and impact of analytics efforts.
  • Contribute to the strategic direction of the data and analytics function by identifying new opportunities for leveraging data to drive business value.
  • Stay updated on industry trends and emerging technologies, applying innovative approaches to enhance the teamโ€™s capabilities.
  • Continuously evaluate and improve processes, tools, and methodologies to increase the teamโ€™s efficiency and effectiveness.
  • Ensure that the teamโ€™s operations are streamlined and aligned with overall business priorities.
  • Own the Product Org data platform strategy, including the ingestion architecture, the warehouse relationship, and the data contracts the product applications depend on.
  • Lead the data engineering team that owns ingestion, transformation, and delivery of Product Org data into the applications and reporting surfaces that consume it.
  • Contribute directly as an individual contributor, writing production code, reviewing pipeline design, and taking on delivery work alongside the team.
  • Set the standards for data contracts, schema evolution, and backfill and recovery procedures across consuming product teams, and hold the line that pipeline changes are made through configuration and declarative SQL rather than by forking engine code.
  • Own data platform cost and capacity planning, including compute tiering and warehouse spend, in partnership with Lennar Technology Group.
  • Represent Product Org data needs with Data@Lennar, Lennar Technology Group, and Palantir Foundry stakeholders, and negotiate the contracts for upstream sources.
  • Set the organizationโ€™s approach to AIโ€‘assisted data engineering, including tooling, review standards, and how quality is measured at high delivery volume.
  • Lead and grow a single data engineering team, including hiring, leveling, and the engineering practices it runs on.
  • Associates in this role typically have a high degree of autonomy in managing their team and projects.
  • They are responsible for making decisions on resource allocation, project prioritization, and team development without needing direct supervision.
  • They collaborate closely with senior leadership and provide inputs for strategic direction and stakeholder alignment; they have the authority to shape the dayโ€‘toโ€‘day operations and longโ€‘term plans of their team.
  • Stakeholder management is a key aspect of this role, associates in this role are expected to engage, influence and support key technical and non-technical stakeholders.
Requirements
  • Bachelorโ€™s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • A masterโ€™s degree or equivalent advanced qualifications are highly preferred.
  • Advanced certifications in data analytics, data management, or project management (e.g., Certified Analytics Professional (CAP), Project Management Professional (PMP), or other relevant advanced certifications) are highly advantageous.
  • 10+ years of experience in data analytics, data science, or a related field, with a significant portion in senior or leadership roles overseeing complex, highโ€‘impact projects.
  • 5+ years of experience in a senior leadership role, with a proven track record of leading and developing a diverse team and driving strategic data initiatives.
  • Proven ability to lead, mentor, and develop highโ€‘performing teams of data professionals, fostering a culture of excellence and innovation.
  • Advanced proficiency with data analytics tools, programming languages (e.g., Python, SQL), and data management platforms, with a focus on leveraging these tools for strategic business impact.
  • Demonstrated experience in managing large-scale, complex data projects, including strategic resource allocation, timeline management, and achieving significant business outcomes.
  • Expertise in translating broad business needs into actionable data strategies, with a strategic perspective on driving organizational growth and competitive advantage.
  • Inโ€‘depth knowledge of implementing and enforcing comprehensive data governance and compliance policies, ensuring organizational adherence to standards and regulatory requirements.
  • Strong ability to convey complex data insights to senior executives and nonโ€‘technical stakeholders, influencing decisionโ€‘making and aligning with strategic business goals.
  • Exceptional analytical thinking and problemโ€‘solving skills, with a focus on deriving actionable insights and driving impactful results.
  • Ability to stay at the forefront of industry trends and emerging technologies, applying innovative approaches to enhance the organizationโ€™s data capabilities and competitive edge.
  • High attention to detail, ensuring accuracy and quality in all data outputs, and leading continuous improvement efforts in analytics processes and methodologies.
  • Experience owning a modern cloud data platform as an engineering system, not only as an analytics function.
  • Handsโ€‘on technical depth: able to write and review production code, not only direct the work.
  • Experience with configurationโ€‘driven pipeline architectures rather than oneโ€‘off scripts.
  • Experience with cloud infrastructure and automated, multiโ€‘environment delivery for data workloads.
  • Experience setting organizationโ€‘wide standards for AIโ€‘assisted engineering, with accountability for code quality, security, and cost.
  • Experience negotiating data contracts across organizational boundaries and with external platform vendors.
  • Experience leading a distributed team across multiple time zones.
  • Experience with Palantir Foundry as a source system is a strong plus.
Physical & Office/Site Presence Requirements

Regular, inโ€‘person attendance at the Lennar office during regular work hours is an essential function of this job. This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. Occasional travel may be required to perform regular job duties. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their wellโ€‘being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyoneโ€™s Included Day.

Benefits
  • Health insurance plans, including Medical, Dental, and Vision coverage
  • 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
  • Paid Parental Leave
  • Associate Assistance Plan
  • Education Assistance Program
  • Up to $30,000 in Adoption Assistance
  • Up to three weeks of vacation annually
  • Holiday, Sick Leave, and Personal Day policies
  • New Hire Referral Bonus Program
  • Significant Home Purchase Discounts
  • Everyoneโ€™s Included Day
Equal Opportunity Employer

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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