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Top Entry Level Data Engineer Jobs in Portland, OR

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4 Days Ago
USA
Remote
86 Employees
Entry level
86 Employees
Entry level
Greentech • Transportation
As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.
4 Days Ago
USA
Remote
46 Employees
Entry level
46 Employees
Entry level
Information Technology • Consulting
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
5 Days Ago
United States
Remote
13 Employees
Entry level
13 Employees
Entry level
Business Intelligence • Consulting
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
8 Days Ago
USA
Remote
67 Employees
75K-150K Annually
Entry level
67 Employees
75K-150K Annually
Entry level
Sports • eSports
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
9 Days Ago
United States
Remote
141K-188K Annually
Entry level
141K-188K Annually
Entry level
Automotive
The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, managing product roadmaps and driving engineering practices while collaborating with various stakeholders to enhance their online platform. Responsibilities include providing technical guidance, mentoring team members, and shaping the technical roadmap.
9 Days Ago
United States
Remote
312 Employees
115K-135K Annually
Entry level
312 Employees
115K-135K Annually
Entry level
Security
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
9 Days Ago
United States
Remote
371 Employees
Entry level
371 Employees
Entry level
AdTech • Marketing Tech
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
12 Days Ago
United States
Remote
775 Employees
Entry level
775 Employees
Entry level
Agency • Marketing Tech
The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.
12 Days Ago
OR, USA
Remote
8 Employees
Entry level
8 Employees
Entry level
Information Technology • Consulting
The job involves leveraging AWS and Snowflake for data engineering responsibilities, focusing on big data solutions and cloud services. The role may also include elements of blockchain technology and artificial intelligence applications.
13 Days Ago
United States
Remote
115 Employees
70K-90K Annually
Entry level
115 Employees
70K-90K Annually
Entry level
Artificial Intelligence • Information Technology • Machine Learning
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
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