Data Engineer

Quartz West Partners; Portland (OR); On-site; USD 110,000 - 154,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision plans

401(k) with employer match

Tuition reimbursement

Online learning platforms and courses

Job summary

Quartz West Partners, a data analytics and consulting firm in Portland, OR, is seeking a Data Engineer for a full-time role. You will design, develop, and maintain data infrastructure and pipelines to support analytics and client projects.

The position requires collaboration with analysts, scientists, and engineers in a modern Portland office environment. Ideal candidates have a Bachelor's in CS/Data Engineering, 3+ years in data engineering, and strong SQL, Python, and Airflow skills.

Qualifications

• Bachelor's degree in CS, Data Engineering, or related field.
• 3+ years of data engineering experience with ETL, data modeling, and DB management.
• Proficiency in SQL and Python; experience with data pipeline tools and cloud platforms.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure to support analytics services.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Optimize data processing workflows to improve performance and reduce costs.
• Ensure data quality, accuracy, and consistency across data systems.
• Monitor and troubleshoot data issues, and implement robust fixes.

Skills

SQL

Python

Apache Airflow

ETL

Big data tech

Education

Bachelor's degree in Computer Science, Data Engineering, or a related field

Tools

AWS

GCP

Azure

Job description

Quartz West Partners, a data analytics and consulting firm in Portland, OR, seeks a Data Engineer for FULL_TIME position. The role involves designing, developing, and maintaining data infrastructure and pipelines. The salary range is $110,000 - $154,266.

The Data Engineer will design and implement data pipelines, develop and maintain data storage solutions, and ensure data quality and integrity. You will work with various data sources and formats, and optimize data processing and storage.

The Data Engineer will collaborate with a team of data analysts, scientists, and other engineers in a modern office environment in Portland, OR. The workplace offers a collaborative and innovative atmosphere.

The salary range for this position is between $110,000 and $154,266 per year, providing a competitive compensation package. In addition to the base salary, employees are offered comprehensive health insurance coverage, including medical, dental, and vision plans. The company also provides a robust retirement plan, allowing employees to contribute to 401(k) accounts with a generous employer match. Furthermore, professional development opportunities are available, such as tuition reimbursement for further education or certifications, and access to online learning platforms and workshops. These benefits aim to support the overall well-being and career growth of the employees.

The candidate should have a Bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data pipeline tools like Apache Airflow, experience with cloud platforms like AWS or GCP, and knowledge of SQL and Python are required.

Design, develop, and maintain data pipelines and infrastructure to support our data analytics and consulting services.Collaborate with cross-functional teams to understand data requirements and deliver scalable, efficient, and reliable data solutions.Optimize data processing workflows to improve performance and reduce costs.Ensure data quality, accuracy, and consistency across our data systems.Monitor and troubleshoot data issues, and implement appropriate solutions to maintain data integrity.Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience.3+ years of experience in data engineering, with a strong background in data modeling, ETL processes, and database management.Proficiency in SQL, Python, and at least one big data technology (e.g., Hadoop, Spark, or Snowflake).Experience with cloud platforms (e.g., AWS, Azure, or GCP) is a plus.Strong problem-solving skills and the ability to work independently and as part of a team.