Data Engineer

Catalyst Ridge LLC; Philadelphia (Philadelphia County); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k) or retirement plan with company

Tuition reimbursement

Professional development workshops

Job summary

Catalyst Ridge LLC, a leading technology company, seeks a Data Engineer in Philadelphia, PA. Join a team that designs and maintains scalable data pipelines, ensuring data quality and availability while optimizing storage and processing.

Collaborate with data scientists, software engineers, and business analysts in a dynamic environment that emphasizes growth and innovation. The role requires a bachelor's degree and 3-5 years of data engineering experience, with strong SQL, Python, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3-5 years of experience in data engineering.
• Proficiency in SQL, Python, and big data technologies such as Hadoop and Spark.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Ensure data quality and availability through validation and monitoring.
• Collaborate with cross-functional teams to meet data requirements.
• Optimize data storage and processing to improve performance and reduce costs.
• Stay up-to-date with emerging technologies and best practices.

Skills

SQL

Python

Data modeling

Education

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

Tools

Hadoop

Spark

Snowflake

Job description

Catalyst Ridge LLC, a leading technology company specializing in data analytics and software solutions, is seeking a Data Engineer in Philadelphia, PA. This full-time position offers a negotiable salary and benefits package.

As a Data Engineer, you will design, build, and maintain data pipelines, ensuring data quality and availability. You will also optimize data storage and processing, and develop and implement data models.

In Philadelphia, PA, you will collaborate with cross-functional teams, including data scientists, software engineers, and business analysts, in a dynamic workplace. This environment fosters innovation and growth, allowing you to work closely with professionals from diverse backgrounds to tackle complex challenges. You'll engage in regular meetings, brainstorming sessions, and project reviews, ensuring that your work aligns with the company's goals and objectives. The collaborative atmosphere encourages open communication and the sharing of ideas, ultimately leading to more effective problem-solving and decision-making. You'll also have the opportunity to participate in team-building activities and workshops, further strengthening your relationships and enhancing your skills. This dynamic workplace in Philadelphia, PA, provides a supportive and stimulating environment for professional growth and development.

The salary for this position is negotiable, reflecting the candidate's qualifications, experience, and market value. In addition to the base salary, the benefits package includes comprehensive health insurance coverage, which may encompass medical, dental, and vision plans. Employees are also eligible for retirement plans, such as a 401(k) or pension scheme, with employer matching contributions to encourage long-term savings. Furthermore, the company offers various professional development opportunities, including tuition reimbursement for advanced degrees, certification programs, and workshops to enhance skills and advance within the organization. These benefits are designed to support the overall well-being and career growth of the employees.

To excel in this role, you should have a bachelor's degree in Computer Science, Engineering, or a related field, along with 3-5 years of experience in data engineering. Proficiency in SQL, Python, and big data technologies such as Hadoop and Spark is required.

• Design, develop, and maintain scalable data pipelines to support our data analytics initiatives.
• Ensure data quality and availability by implementing data validation and monitoring processes.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Optimize data storage and processing to improve performance and reduce costs.
• Stay up-to-date with emerging technologies and industry best practices.
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3-5 years of experience in data engineering or a similar role.
• Proficiency in SQL, Python, and at least one big data technology (e.g., Hadoop, Spark, or Snowflake).
• Experience with cloud platforms (e.g., AWS, GCP, or Azure) is a plus.
• Strong problem-solving skills and attention to detail.