Data Engineer

Russell Tobin
Beaverton, OR, United States
18 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,600.0 - $162,240.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Information Engineering Data Systems Python (Programming Language) SQL Databases Snowflake Apache Spark Data Analytics Data Management Databricks

Job description

  • Build and enhance data solutions, tools, and new data products using Databricks, Spark, Python, Snowflake, and SQL.
  • Support team capacity gaps and leave coverage while helping improve data capabilities and operational efficiency.
  • Contribute to AI-related tools and initiatives and support data-driven business objectives.
  • Develop solutions that support analytics, profitability, and margin improvement.
  • Partner with cross-functional teams to understand requirements and deliver scalable data solutions.

Requirements

  • 10+ years of experience in a data-related role, with prior professional data engineering experience.
  • Strong hands-on experience with Databricks, Spark, Python, Snowflake, and SQL.
  • Experience with AI tools and initiatives; finance-domain experience and data analytics/BI experience are highly desirable.
  • Bachelor’s degree required; AWS or Databricks certifications are a plus but not required.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all