Data Engineer

Redwood Ridge Solutions; Pittsburgh (Allegheny County); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Job summary

Redwood Ridge Solutions in Pittsburgh is seeking a Data Engineer to transform raw data into actionable insights in a fast-paced analytics environment. You will design, build, and maintain data pipelines and ensure data quality and integrity.

The role requires collaboration with a team of experts, optimization of data processing and storage, and implementation of data security. Growth opportunities and a supportive environment are highlighted.

Qualifications

• Bachelor's degree in CS, DS or related field or equivalent experience.
• Proven Data Engineer experience with project portfolio.
• Expertise in Spark, Hadoop or similar data processing frameworks.
• Proficiency in Python, Java or Scala.
• Strong SQL/NoSQL database knowledge.
• Excellent problem-solving and teamwork ability.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure for analytics and ML.
• Collaborate with cross-functional teams to meet data requirements.
• Optimize data processing and storage for scalability and efficiency.
• Monitor performance and improve data quality and reliability.
• Stay current with industry trends and technologies.
• Mentor and support junior team members.

Skills

Python

Java

Scala

Education

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

Tools

Apache Spark

Hadoop

Job description

Redwood Ridge Solutions, a data analytics firm in Pittsburgh, PA, seeks a Data Engineer for a FULL_TIME position. The role involves transforming raw data into actionable insights in a fast-paced environment.

The Data Engineer will design, build, and maintain data pipelines, ensuring data quality and integrity. They will also optimize database performance and implement data security measures.

The Data Engineer will collaborate with a team of experts in a data-driven environment. The workplace is in Pittsburgh, PA, with opportunities for growth and innovation.

The salary for this role is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience. In addition to the base salary, employees are offered a comprehensive benefits package that includes health insurance, which covers a range of medical services and prescriptions, ensuring their well-being and that of their families. The company also provides retirement plans, such as a 401(k) or pension scheme, to help employees save and plan for their future. Furthermore, professional development opportunities are available, allowing employees to enhance their skills and advance their careers within the organization. These benefits contribute to a positive and supportive work environment, fostering employee satisfaction and loyalty.

Candidates must have a bachelor's degree in Computer Science, Engineering, or a related field. Experience with SQL, Python, and big data technologies is required.

What you will do:

1. Design, develop, and maintain data pipelines and infrastructure to support our analytics and machine learning initiatives.
2. Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
3. Optimize data processing and storage systems to ensure efficient and scalable operations.
4. Monitor system performance and implement improvements to enhance data quality and reliability.
5. Stay up-to-date with the latest industry trends and technologies to drive innovation and continuous improvement.
6. Mentor and support junior team members to foster a culture of learning and growth.

What we need:

1. A bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience.
2. Proven experience as a Data Engineer or similar role, with a strong portfolio of projects and achievements.
3. Expertise in data processing frameworks such as Apache Spark, Hadoop, or similar.
4. Proficiency in programming languages like Python, Java, or Scala.
5. Strong understanding of database technologies, including SQL and NoSQL databases.
6. Excellent problem-solving skills and the ability to work independently and as part of a team.