Data Engineer

Our client, a leading sportswear company is seeking a Data Engineer 4 to join a high-performing data engineering team focused on building scalable cloud data solutions and modern data products. Apply today for consideration! Title: Data Engineer 4 Location: Beaverton, OR 97005 (Hybrid) Duration: 9 months, 21 days (08/10/2026 – 05/31/2027) Pay Range: $62-67/hr. on W2 Job Description: Design, develop, and optimize enterprise-scale data products and distributed data pipelines that power analytics, reporting, and AI-driven initiatives. Collaborate with product owners, analysts, and engineering teams to deliver reliable, scalable, and high-performing data solutions using modern cloud technologies. This role supports a fast-paced engineering organization focused on modernizing data platforms, enabling business insights, and delivering high-quality data products. The ideal candidate has extensive experience with Databricks, Spark, Python, Snowflake, and SQL, along with a strong understanding of cloud data architecture and Agile development practices. Job Functions: • Design, develop, and maintain scalable data pipelines and enterprise data products. • Build distributed data processing solutions using Databricks, Spark, Python, SQL, and Snowflake. • Collaborate with product owners, data analysts, and business stakeholders to translate business requirements into technical solutions. • Contribute to the architecture, design, and implementation of scalable cloud-based data platforms. • Develop reusable libraries, utilities, frameworks, and user-defined functions to improve engineering efficiency. • Evaluate and implement new technologies, frameworks, and best practices for high-volume data processing. • Build automated unit tests, support integration testing, and maintain CI/CD pipelines. • Troubleshoot production issues, perform root cause analysis, and optimize data pipeline performance. • Partner with cross-functional engineering teams to ensure high-quality, scalable, and reliable solutions. • Support AI initiatives and contribute to the development of new data capabilities and products. Skills/Abilities: • Strong programming skills in Python and SQL. • Extensive experience with Databricks, Apache Spark, and Snowflake. • Experience building and maintaining cloud-based data platforms. • Strong understanding of data warehousing concepts and distributed data processing. • Experience working within Agile/Scrum development environments. • Excellent analytical, problem-solving, and troubleshooting skills. • Strong communication and collaboration skills with both technical and business stakeholders. • Ability to manage multiple priorities in a fast-paced environment. Experience: • Bachelor's degree in Computer Science or a related technical discipline (required). • 8–10+ years of experience in data engineering or related technical roles. • 5+ years of experience working with large-scale data platforms and big data technologies. • Prior experience with this organization is required. • Experience supporting AI initiatives is highly preferred. • AWS and Databricks certifications are a plus. • Finance domain experience and familiarity with BI/analytics tools are nice to have. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors. Applicant Privacy Disclosure We collect personal information from applicants during the recruiting, pre-offer, and offer process. During the recruiting, pre-offer process and offer process, we may collect the following categories of personal information: 1. Identifiers, such as name, address, and email address. 1. Professional and Employment-Related Information, such as resume, work history, education, and qualifications. 1. Information Voluntarily Provided by You in connection with the recruiting and pre-offer process. 1. Sensitive Personal Information, where legally permitted and necessary, such as Social Security number and date of birth. Personal information is collected and used for the following business purposes: evaluating qualifications and eligibility for employment; communication regarding the recruitment and application process; verifying eligibility for employment; and complying with applicable legal, regulatory, and contractual obligations. Personal information is collected and used only as necessary, and we are committed to data minimization, privacy, and providing equal employment opportunities. We are an international organization, and personal information may be accessed or processed by authorized personnel or service providers located outside the United States, subject to appropriate safeguards. We restrict use and access to personal information to authorized personnel and service providers with confidentiality and data security obligations. We maintain administrative, technical, and physical safeguards designed to protect personal information from unauthorized access, use, or disclosure. For information about our privacy practices, please review our Privacy Policy at: https://prideglobal.com/privacy-policy If you do not consent to the collection of such personal information, please advise us immediately in writing at datasecurity@prideglobal.com Equal Employment Opportunity [Hiring Entity Name] is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment [Hiring Entity Name] is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.