Data Engineer

Linden East Partners; Phoenix (AZ); On-site; USD 120,000 - 176,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Professional development opportunities

Job summary

Linden East Partners in Phoenix, AZ is seeking a Data Engineer to design, implement, and maintain data pipelines for renewable energy projects. The role emphasizes ETL processes, data quality, and collaboration with cross-functional teams.

Qualified candidates have a bachelor's degree in CS/related field, 3+ years in data engineering, and hands-on experience with Python/Java/Scala and big data tools like Airflow, Spark, and Kafka. On-site role with competitive salary and benefits.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3+ years of data engineering experience, ETL pipelines.
• Proficiency in Python, Java, or Scala.
• Experience with Hadoop/Spark/Hive and cloud platforms (AWS/Azure).

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Collaborate with cross-functional teams to implement data solutions.
• Ensure data quality, accuracy, and integrity with validation.
• Monitor and optimize data infrastructure for performance.
• Stay up-to-date with emerging data engineering practices.
• Provide technical guidance to team members.

Skills

Python

Java

Scala

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

Apache Spark

Apache Kafka

Job description

Linden East Partners, a leading company in renewable energy, is hiring a Data Engineer in Phoenix, AZ. This full-time position offers a salary range of $120,000 to $175,905.

In this role, you will design, implement, and maintain data pipelines for renewable energy projects. You will collaborate with cross-functional teams to ensure data infrastructure meets business needs.

You will work in a team environment at our Phoenix, AZ office. The workplace is in Arizona, known for its vibrant culture and business-friendly atmosphere.

The salary range for this position is $120,000 to $175,905, offering a competitive compensation package that reflects the responsibilities and expertise required. In addition to the base salary, employees are entitled to comprehensive health insurance coverage, which includes medical, dental, and vision plans. The retirement plans provide a 401(k) match, encouraging long-term financial security. Professional development opportunities are also available, allowing employees to enhance their skills and advance their careers within the organization.

To be considered for this role, you should possess a bachelor's degree in Computer Science, Engineering, or a related field, such as Information Technology or Software Engineering. This educational background provides a strong foundation in programming, algorithms, and system design, which are essential for this position. Additionally, you should have hands‑on experience with data pipeline tools like Apache Airflow. This experience would involve designing, developing, and maintaining data pipelines that efficiently move and transform data between various systems. Familiarity with other data processing tools and technologies, such as Apache Spark or Kafka, would be a significant advantage. Your ability to work with these tools would enable you to handle large-scale data processing tasks effectively.

What You Will Do:

• Design, develop, and maintain data pipelines and ETL processes to support our renewable energy projects.
• Collaborate with cross-functional teams to identify and implement data solutions that meet business needs.
• Ensure the quality, accuracy, and integrity of our data by implementing data validation and testing procedures.
• Monitor and optimize data infrastructure to improve performance and reliability.
• Stay up-to-date with emerging technologies and best practices in data engineering.
• Provide technical guidance and support to other team members as needed.

What You Bring:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience in data engineering, with a strong background in ETL processes and data pipelines.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or Hive.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong problem-solving skills and attention to detail.