Data Engineer

Cedar Prime Corp.; Colorado Springs (CO); On-site; USD 100,000 - 134,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Tuition reimbursement

Professional development

Job summary

Cedar Prime Corp. in Colorado Springs, CO seeks a Data Engineer for designing, building, and maintaining data pipelines and architectures. This full-time role requires a bachelor’s degree and 3–5 years of data engineering experience, with strong SQL and Python skills.

You will work with data scientists, analysts, and business stakeholders to ensure data quality, accessibility, and security while continuously improving system performance and scalability.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3-5 years of data engineering experience.
• Proficiency in SQL and Python.
• Experience with big data technologies and data warehousing.

Responsibilities

• Design, build, and maintain data pipelines and architectures.
• Develop and optimize data storage and retrieval systems.
• Collaborate with cross-functional teams to ensure data quality and accessibility.
• Monitor and improve data processing performance.
• Develop and maintain data models and schemas.
• Implement data security and privacy measures.

Skills

Analytical thinking

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

Python

Hadoop

Spark

ETL

Data warehousing

Job description

Cedar Prime Corp., a key player in aerospace and defense, seeks a Data Engineer in Colorado Springs, CO. This full-time role offers a salary range of $100,000 to $134,002.

As a Data Engineer, you'll be responsible for designing, constructing, and maintaining data pipelines and architectures, which are the backbone of any data-driven organization. This role involves creating efficient systems that collect, process, and store data from various sources, ensuring it's ready for analysis and decision-making. You'll work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and ensure the data you provide is accurate, reliable, and accessible. This collaboration is crucial for translating raw data into actionable insights that drive business growth. Additionally, you'll need to stay updated with the latest technologies and best practices in data engineering to continuously improve the performance and scalability of the data pipelines.

You’ll join our team in Colorado Springs, CO, working in a dynamic environment. This role is perfect for someone passionate about data and eager to contribute to our industry.

The salary range for this position typically falls between $100,000 and $134,002, providing a competitive financial package. Employees can expect comprehensive benefits, including robust health insurance coverage that may extend to medical, dental, and vision plans, as well as access to retirement plans such as a 401(k) or pension scheme. Additionally, opportunities for professional development are often available, which may include tuition reimbursement, access to online courses, or sponsorship for industry conferences and certifications. These benefits aim to support the overall well-being and career growth of the employees.

You should have a bachelor's degree in Computer Science or a related field. Experience with data pipelines and architectures is required. Proficiency in SQL and Python is essential.

What You Will Do:

• Design, build, and maintain data pipelines and architectures.
• Develop and optimize data storage and retrieval systems.
• Collaborate with cross-functional teams to ensure data quality and accessibility.
• Monitor and improve data processing performance.
• Develop and maintain data models and schemas.
• Implement data security and privacy measures.

What You Bring:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience in data engineering.
• Proficiency in SQL, Python, and other programming languages.
• Experience with big data technologies such as Hadoop, Spark, or similar.
• Knowledge of data warehousing and ETL processes.
• Strong problem-solving and analytical skills.