Data Engineer

Willow National Partners; Portland (OR); On-site; USD 130,000 - 173,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Job summary

Willow National Partners in Portland, OR is looking for a Data Engineer to design, develop, and maintain data pipelines and infrastructure that support data-driven decisions. You will collect, process, and analyze data from databases, APIs, and streaming platforms, ensuring quality and availability.

The role collaborates with data scientists, developers, and business analysts, offering growth opportunities in a modern office environment with competitive benefits including health insurance,

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience as a Data Engineer or similar role.
• Proficiency in SQL and Python; cloud platforms (AWS or GCP) required.
• Experience with ETL, data warehousing, and data pipelines.
• Experience with Power BI or Tableau for data visualization.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure to support data-driven decision-making.
• Collaborate with cross-functional teams to identify and implement data solutions.
• Ensure data quality, accuracy, and integrity through validation and testing processes.
• Optimize data storage and retrieval to improve performance and reduce costs.
• Stay up-to-date with emerging data engineering technologies.

Skills

SQL

Python

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Power BI

Tableau

Snowflake

Redshift

AWS

Azure

GCP

Job description

Willow National Partners, a real estate investment company, seeks a Data Engineer in Portland, OR, for a full-time position. You'll design, develop, and maintain data pipelines and infrastructure to support data-driven decisions. The salary range is $130,000 to $173,187.

As a Data Engineer, you'll be responsible for collecting, processing, and analyzing data from a wide array of sources, including databases, APIs, and streaming platforms. Your role involves ensuring the quality and availability of data, which includes tasks such as data cleaning, validation, and transformation. You'll also focus on optimizing data storage and retrieval, which may involve designing efficient database schemas, implementing indexing strategies, and leveraging caching mechanisms. Additionally, you'll collaborate closely with other teams, such as data scientists, developers, and business analysts, to integrate data into various applications and dashboards. This integration often requires understanding the specific needs of these teams and tailoring the data presentation to meet their requirements.

You’ll work in a team of data professionals in Portland, OR. The workplace is in a modern office environment with opportunities for growth and development. The company offers benefits including health insurance, retirement plans, and paid time off.

The annual salary range for this position is $130,000 to $173,187, providing a competitive compensation package. Employees can expect comprehensive benefits, including health insurance that covers medical, dental, and vision care, as well as a retirement plan with employer matching contributions. Paid time off includes vacation days, sick leave, and holidays, ensuring a balanced work-life schedule. The position is full-time, typically requiring a standard 40-hour workweek, but may offer opportunities for overtime during peak periods or special projects.

You should have a bachelor's degree in Computer Science, Data Science, or a related field. Experience with data pipelines, ETL processes, and data warehousing is required. Proficiency in SQL, Python, and cloud platforms like AWS or GCP is necessary.

• Design, develop, and maintain data pipelines and infrastructure to support our data-driven decision-making processes.
• Collaborate with cross-functional teams to identify and implement data solutions that meet business needs.
• Ensure data quality, accuracy, and integrity through the implementation of data validation and testing processes.
• Optimize data storage and retrieval processes to improve performance and reduce costs.
• Stay up-to-date with emerging technologies and trends in data engineering to drive innovation within the team.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 3+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL, Python, and data modeling tools such as Power BI or Tableau.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of data warehousing concepts and tools such as Snowflake or Redshift.