Data Engineer

Catalyst East Partners; Mesa (AZ); On-site; USD 100,000 - 143,000; Full time

Job summary

Catalyst East Partners in Mesa, AZ is seeking a Data Engineer to design, build, and maintain data pipelines, ensuring data accuracy and accessibility. You will collaborate with data scientists and analysts to optimize storage and processing, improve performance, and reduce costs, while working both independently and as part of a collaborative team.

Requirements include SQL, Python, Hadoop or Spark, and cloud experience (AWS or GCP), plus a Bachelor's degree in Computer Science, Engineering, or

Qualifications

• Experience designing and implementing data pipelines.
• Proficiency in SQL and Python.
• Experience with Hadoop or Spark.
• Familiarity with AWS or GCP.
• Bachelor's degree in Computer Science, Engineering, or related field.

Responsibilities

• Design and maintain data pipelines to support data-driven decisions.
• Collaborate with data scientists and analysts to optimize storage and processing.
• Improve performance and reduce costs of data infrastructure.
• Ensure data accuracy, reliability, and accessible data for stakeholders.

Skills

SQL

Python

Big data

Data pipelines

Collaboration

Education

Bachelor's degree in Computer Science or Engineering

Tools

Hadoop

Spark

AWS

GCP

Job description

Catalyst East Partners, a leading financial services firm specializing in investment management and asset management, is seeking a Data Engineer in Mesa, AZ. This full-time position involves designing, building, and maintaining data pipelines, ensuring data accuracy and accessibility.

As a Data Engineer, you will collaborate with data scientists and analysts to optimize data storage and processing systems. Your tasks include improving performance, reducing costs, and ensuring reliable data infrastructure.

You will join a dynamic team in Mesa, AZ, working alongside data scientists, analysts, and other engineers. Our office is in a vibrant area with collaborative amenities, fostering a productive and innovative environment.

The salary range for this role is $100,000 to $142,802 per year. Benefits include a competitive compensation package, though specific details are not provided.

To be successful, you should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in SQL, Python, and big data technologies like Hadoop or Spark is required. Familiarity with cloud platforms such as AWS or GCP is a plus. A bachelor's degree in Computer Science, Engineering, or a related field is necessary, along with the ability to work independently and as part of a team.

Designing and maintaining data pipelines, optimizing data storage and processing systems, collaborating with data scientists and analysts to ensure data accuracy and reliabilityBachelor's degree in Computer Science, Engineering, or a related field, strong background in data engineering, experience in designing and implementing data pipelines, proficiency in SQL, Python, and at least one big data technology like Hadoop or Spark, familiarity with cloud platforms such as AWS or GCP