Data Engineer

Vertex North Partners; Denver (CO); Presencial; USD 110.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement plans

Professional development

Descripción de la vacante

Vertex North Partners in Denver seeks a Data Engineer to convert raw data into actionable insights supporting investment strategies. The role focuses on building robust data pipelines, ensuring data quality, and optimizing database performance in a collaborative, growth-focused environment.

You will collaborate with analysts and developers, work with Snowflake/BigQuery, and apply Python and SQL to deliver scalable data solutions.

Formación

• Bachelor's degree in CS, DS, or related field.
• Experience as a Data Engineer or similar role with a portfolio.
• Proficiency in SQL, Python, and cloud platforms AWS or GCP.
• Strong problem-solving and data-driven decision making.

Responsabilidades

• Design, build, and maintain data pipelines for investment research.
• Collaborate with data science to develop ML models.
• Ensure accuracy, completeness, and reliability of data assets.
• Optimize data storage and processing to reduce costs.
• Work with IT to ensure data systems are secure and compliant.
• Provide technical leadership and mentorship to junior staff.

Conocimientos

SQL

Python

Data pipelines

Data analysis

Educación

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

Herramientas

Snowflake

BigQuery

AWS

GCP

Descripción del empleo

Vertex North Partners, a boutique investment firm in Denver, CO, seeks a Data Engineer for a FULL_TIME position. This role involves transforming raw data into actionable insights to support investment strategies. Salary is negotiable.

As a Data Engineer, you'll design and implement data pipelines, ensure data quality, and optimize database performance. You'll collaborate with analysts and developers to integrate data solutions into our investment processes.

In Denver, CO, you'll be part of a growing team within a collaborative environment that values teamwork and shared goals. The firm's commitment to technology and data-driven decision-making creates a dynamic and innovative workplace, where ideas are encouraged and technology is leveraged to make informed decisions. This collaborative atmosphere allows for the exchange of diverse perspectives, fostering a culture of creativity and continuous improvement. The team's collective expertise and shared vision drive the firm's success, making it an exciting place to work and grow.

The salary for this position is negotiable, taking into account various factors such as the candidate's experience, qualifications, and the specific responsibilities of the role. In addition to the base salary, the company offers a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. These benefits are subject to negotiation and may vary depending on the final agreement reached between the employer and the employee. The company is committed to providing a supportive and rewarding work environment, and is open to discussing specific benefits and compensation details during the hiring process.

You should have a Bachelor's degree in Computer Science, Data Science, or a related field. Experience with data warehousing tools like Snowflake or BigQuery is required. Proficiency in Python and SQL is essential.

This is an opportunity to join a dynamic team dedicated to revolutionizing investment management through the strategic utilization of data. By applying, you will have the chance to contribute to innovative strategies that leverage data analytics to drive investment decisions. The role offers a platform to grow professionally and make a significant impact on the future of investment management. Candidates should highlight their relevant experience and skills in their application materials. This is a step towards becoming part of a forward-thinking organization that values data-driven decision-making.

What you will do:

1. Design, build, and maintain data pipelines to support our investment research and analysis.
2. Collaborate with our data science team to develop and implement machine learning models.
3. Ensure the accuracy, completeness, and reliability of our data assets.
4. Optimize data storage and processing to improve efficiency and reduce costs.
5. Work closely with our IT team to ensure our data systems are secure and compliant with industry regulations.
6. Provide technical leadership and mentorship to junior team members.

What we need:

1. A bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
2. Proven experience as a Data Engineer or similar role, with a strong portfolio of projects.
3. Expertise in SQL, Python, and cloud platforms like AWS or GCP.
4. Strong problem-solving skills and a passion for data-driven decision-making.
5. Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
6. A commitment to delivering high-quality work and continuous learning and improvement.