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Contract Data Engineering Jobs in Oregon (NOW HIRING)

Senior Data Engineer

Portland, OR ยท Remote

$112K - $152K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... This position description does not constitute a written or implied contract of employment.

$83K - $144K/yr

Responsibilities * Support a major civilian federal agency while leading data engineering ... contract requirements, and candidate qualifications, such as education, experience, skills, and ...

OR

$122K - $168K/yr

Engineering About Terzo Terzo builds an AI-native enterprise data platform designed to power the ... The frontend is the primary decision surface for enterprise customers where complex contract data ...

OR ยท On-site

$55.75 - $73.75/hr

You will work cross-functionally with engineering, product, and commercial teams. Team Mission The ... Document models, assumptions, and data contracts so results are interpretable and reproducible for ...

Quality Engineer

Wilsonville, OR ยท On-site

$74K - $96K/yr

Develop test procedures and test reports per customer contract data requirements lists (CDRLs ... Bachelor's Degree in a scientific / engineering field and minimum two (2) years' experience in a ...

Quality Engineer

Wilsonville, OR ยท On-site

$74K - $96K/yr

Develop test procedures and test reports per customer contract data requirements lists (CDRLs ... Bachelor's Degree in a scientific / engineering field and minimum two (2) years' experience in a ...

Staff Software Engineer, Data Infrastructure

OR ยท Remote

$114K - $137K/yr

You'll collaborate closely with engineering leadership and stakeholders across Data Science, ML ... contracts. * Deep SQL proficiency and strong skills in Python or Scala for systems-level ...

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Showing results 1-20

Contract Data Engineering information

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making the role essential across many industries.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, contract positions, or working in competitive industries like finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and often working in high-cost-of-living areas or on high-stakes projects.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Can a data engineer make 200k?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries of $200,000 or more. Compensation varies based on location, industry, and company size, with some roles offering bonuses and stock options that contribute to total earnings.

What are the key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High compensation is often associated with working in large organizations, in-demand industries, or holding leadership roles such as lead or principal data engineer.
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 job categories do people searching Contract Data Engineering jobs in Oregon look for? The top searched job categories for Contract Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Contract Data Engineering jobs? Cities in Oregon with the most Contract Data Engineering job openings:
Senior Data Engineer

Senior Data Engineer

Troutman Pepper

Portland, OR โ€ข Remote

$112K - $152K/yr

Full-time

Posted 11 days ago


Job description

We are always seeking talented, motivated, growth-minded, and creative individuals. Our firm is committed to providing employee support and advancement, while embracing inclusion and innovation as keys to a stronger future.

We invite you to explore the position below and to submit your application to join our team!

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports utilizing database technologies and financial software. The Senior Data Engineer will build and maintain small, curated datasets and a centralized data lake integrating data from multiple cloud-based applications and Azure databases and will support data retrieval and analysis through Power BI dashboards.

Essential Duties and Responsibilities

  • Design, develop, and maintain ETL processes and data structures following best practices.

  • Work with data integration (ETL), data modeling, data quality, data governance, enterprise data warehouse (EDW), and analytical tools.

  • Develop efficient SQL stored procedures, views, and queries with a strong understanding of data structures, data integrity, and indexing.

  • Utilize SSIS, SSRS, and SSMS for ETL, reporting, and analysis of data.

  • Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating multiple cloud-based applications and Azure databases.

  • Design and develop Power BI dashboards for data analysis and business reporting.

  • Creating Python scripts to automate internal tasks.

  • Creating Power Automate and Power Apps workflows for internal teams/departments.

  • Act as a knowledge resource and facilitator for data retrieval in support of all administrative business units.

  • Identify opportunities to drive innovation, improve data processes, and enhance the accuracy, reliability, and usability of information.

Knowledge, Skills and Abilities

  • Strong SQL and data engineering skills.

  • Hands-on experience with Azure, APIs, Microsoft Fabric, SSRS, SSIS, SSAS, Power Apps, Power Automate, Power BI, and Python.

  • Strong analytical and problem-solving skills.

  • Excellent written and oral communication skills.

  • Demonstrated ability to add value, build efficiency, and improve accuracy and reliability of information.

  • Strong awareness of deadlines and commitment to delivering high-quality work on time.

  • High level of discretion and sensitivity to confidential information.

  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

  • Ability to synthesize information from a wide variety of sources and produce clear, concise, client-ready deliverables.

  • Proficiency with Microsoft Office products and related tools such as Excel, SSRS, Power Apps and PowerShell.

  • Blend of technical and business skills, along with strong interpersonal skills, developed through experience in data analysis, database design, and application development.

Education and Experience

  • Bachelors' degree in Computer Science, Management Information Systems, or related field.

  • Minimum of eight (8) years of relevant work experience with ETL, data integration and migration, and strong SQL.

  • Minimum of three (3) years of experience with Datawarehouse technologies, Power BI development and administration, and working with and translating company financial data into executive-level reports and KPI's.

  • Experience in creating and deploying ETL processes using SSIS required.

  • Hands-on experience to create Python scripts and automate the internal processes required.

  • Experience with Fabric and Aderant preferred.

  • Prior law firm or professional services experience beneficial.

#LI-Remote

The Firm will comply with any applicable city or state workplace mandates in effect in regards to Covid-19.

This position description is intended to describe the general content of and requirements for the performance of the job. The statements contained in the position description are not necessarily all-inclusive and additional duties and responsibilities may be assigned as determined by business needs.

This position description does not constitute a written or implied contract of employment.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

By applying for this position, you agree and understand that Troutman Pepper Locke will process your Personal Information pursuant to the terms of our Worker and Applicant Global Privacy Notice. If you have questions about our data handling practices, or you are a resident of California, the United Kingdom, or the European Union and wish to exercise your privacy rights, please contact us at privacy@troutman.com.

Equal Employment Opportunity
Troutman Pepper Locke adheres to a policy of equal opportunity and will make all employment decisions, which include hiring, promotion, transfer, demotion, evaluation, compensation and separation, without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, pregnancy, citizenship, disability, genetic information, marital or armed forces status and any other classification as protected by law.

Compensation is dependent on several factors, such as position, location, market, education, training, and/or experience.

Hiring Salary Range:

$120,000.00 - $170,000.00