Russell Tobin

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Beaverton, OR, offering $67/hour for a hybrid contract of 4/1. Requires 8–10+ years of data experience, expertise in Databricks, Spark, Python, Snowflake, and AI tools, plus finance-related data experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Beaverton, OR
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🧠 - Skills detailed
#Snowflake #REST (Representational State Transfer) #Databricks #Spark (Apache Spark) #SQL (Structured Query Language) #Automated Testing #Data Architecture #Airflow #REST API #Stories #Hadoop #Computer Science #AI (Artificial Intelligence) #BI (Business Intelligence) #Data Engineering #Cloud #AWS (Amazon Web Services) #Scala #Data Pipeline #Python
Role description
🚨 We’re Hiring: Senior Data Engineer 🚨 📍 Beaverton, OR — 4/1 Hybrid at PHK 💰 • 67/hour ⚡ Urgent need — candidates available to start quickly will be prioritized We’re looking for a hands-on Senior Data Engineer to join a high-impact enterprise data team. This consultant will build scalable data products, improve large-volume data pipelines, support critical team needs, and create solutions that directly improve profitability and business margins. What You’ll Do: • Design and implement scalable data products and distributed data pipelines • Build solutions using Databricks, Spark, Python, Snowflake, and SQL • Contribute to data architecture, engineering frameworks, and reusable tools • Troubleshoot complex data and performance issues • Implement automated testing and support CI/CD practices • Partner with technical teams, analysts, product owners, and business stakeholders • Support new AI tools, capabilities, and data initiatives Required Qualifications: • Bachelor’s degree in Computer Science or a related technical field • 8–10+ years of data-related experience • Strong recent, hands-on Databricks experience • Advanced Spark, Python, Snowflake, and SQL expertise • Experience using AI tools professionally or contributing to AI initiatives • Large-scale data pipeline and data warehousing experience • Excellent communication and cross-functional collaboration skills • Ability to work onsite in Beaverton under a 4/1 hybrid schedule • Previous experience with the end client is mandatory and will be verified during screening Standout Experience: • Finance, profitability, or margin-related data • Business intelligence and data analytics • AWS, Airflow, Hadoop, Hive, streaming, or messaging technologies • Automated testing, CI/CD, REST APIs, and cloud infrastructure tools • AWS or Databricks certifications Two interview rounds are anticipated, and the team is moving quickly. Interested? Send me your updated resume along with your location, availability, and preferred contact information. #DataEngineer #Databricks #ApacheSpark #Python #Snowflake #SQL #BigData #DataEngineering #AIJobs #BeavertonJobs Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin 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 Russell Tobin 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.