Data Engineer

Maple Valley Inc.; Fresno (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Maple Valley Inc. in Fresno, CA is seeking a Data Engineer to design, build, and maintain data infrastructure in a full-time role.

You will develop data pipelines, ensure data quality, optimize performance, and collaborate with cross-functional teams to meet business needs. The position requires a bachelor’s degree in a related field, strong SQL skills, and experience with Hadoop or Spark and cloud platforms like AWS or GCP.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• Strong SQL skills and experience with data pipelines.
• Experience with big data technologies (Hadoop/Spark).
• Ability to work with cross-functional teams.

Responsibilities

• Designing and implementing data pipelines.
• Ensuring data quality and performance.
• Collaborating with cross-functional teams to define data requirements.

Skills

Data pipelines

Data quality

Collaboration

SQL

Data engineering

Leadership

Education

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

Tools

Hadoop

Spark

AWS

GCP

Job description

Maple Valley Inc., a tech industry leader in data solutions, is seeking a skilled Data Engineer for a full-time position in Fresno, CA. This role offers an attractive compensation and comprehensive benefits package.

As a Data Engineer, you will design, build, and maintain data infrastructure. Your tasks include developing data pipelines, ensuring data quality, and optimizing performance. You'll collaborate with cross-functional teams to meet business needs.

You'll work in our Fresno office with a dedicated team of data professionals. Our office fosters a collaborative environment, valuing innovation and teamwork.

The annual salary range for this position is $150,000 to $249,984, with benefits not specified. The role involves managing a team of professionals, overseeing project timelines, and ensuring the successful completion of tasks. The candidate should have a strong background in their field, with a proven track record of achievement. They will need to be proficient in using relevant software and tools to streamline processes and improve productivity. The workplace is typically a modern office environment, with a collaborative and supportive team culture. The position requires a bachelor's degree or higher, along with several years of relevant experience. Strong communication and leadership skills are essential for this role.

You should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in SQL and experience with big data technologies like Hadoop or Spark are essential. A bachelor's degree in Computer Science, Engineering, or a related field is required, along with experience with cloud platforms like AWS or GCP.

• Designing and implementing data pipelines
• ensuring data quality and performance
• collaborating with cross-functional teams to understand data requirements
• Bachelor's degree in Computer Science, Engineering, or related field
• strong background in data engineering
• proficiency in SQL
• experience with big data technologies like Hadoop or Spark
• some experience with cloud platforms like AWS or GCP