Data Engineer

GetJobSmart; Albuquerque (NM); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision plans

Retirement plan with employer match

Professional development

Job summary

Apex Advanced Partners in Albuquerque, NM, is seeking an experienced Data Engineer to design, develop, and maintain data pipelines for investment strategies. You will ensure data integrity, collaborate with cross-functional teams, and optimize data processes in a modern on-site office.

The role requires 3+ years in data engineering, with proficiency in SQL and Python, and familiarity with Hadoop or Spark. Competitive benefits include health insurance, retirement plans, and professional

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a similar role.
• Proficiency in SQL, Python, and big data technologies such as Hadoop or Spark.
• Experience with data modeling and ETL processes.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.

Responsibilities

• Design, develop, and maintain data pipelines to support our investment strategies.
• Ensure the accuracy, quality, and integrity of our data assets.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Optimize data processes to enhance efficiency and performance.
• Implement and manage data storage solutions, ensuring scalability and security.
• Stay abreast of emerging technologies and industry trends to drive innovation.

Skills

Strong problem-solving

Excellent communication

Teamwork

Education

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

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

Tools

SQL

Python

Hadoop

Spark

Job description

Apex Advanced Partners, a leading financial services firm, seeks a Data Engineer to join our team in Albuquerque, NM. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Data Engineer, you will design, develop, and maintain data pipelines, ensuring data integrity and availability. You will also optimize database performance and implement data security measures.

You will collaborate with cross-functional teams in a modern office environment in Albuquerque, NM, where open-concept spaces and state-of-the-art technology create an inspiring atmosphere. Our workplace fosters innovation and continuous learning, with regular workshops, webinars, and access to online learning platforms. You'll have the opportunity to work alongside professionals from various departments, sharing ideas and expertise to drive projects forward. The office is designed to promote teamwork and creativity, with shared spaces for brainstorming sessions and collaborative projects. Additionally, you'll have access to a well-stocked library and quiet zones for focused work, ensuring a balanced work-life experience.

The salary for this position is negotiable based on the candidate's experience and qualifications.

• In addition to the competitive compensation, employees are entitled to comprehensive health insurance coverage, including medical, dental, and vision plans.
• The company also offers a robust retirement plan with a generous employer match, as well as opportunities for professional development and growth within the organization.
• These benefits are designed to support employees' overall well-being and career advancement.

You should have a bachelor's degree in Computer Science, Engineering, or a related field. Experience with SQL, Python, and big data technologies is required. Familiarity with cloud platforms like AWS or Azure is a plus.

Application deadline: November 23, 2026.

The company values diversity and encourages all qualified individuals to apply.

What you will do:

1. Design, develop, and maintain data pipelines to support our investment strategies.
2. Ensure the accuracy, quality, and integrity of our data assets.
3. Collaborate with cross-functional teams to understand data requirements and deliver solutions.
4. Optimize data processes to enhance efficiency and performance.
5. Implement and manage data storage solutions, ensuring scalability and security.
6. Stay abreast of emerging technologies and industry trends to drive innovation.

What we need:

1. Bachelor's degree in Computer Science, Data Science, or a related field.
2. 3+ years of experience in data engineering or a similar role.
3. Proficiency in SQL, Python, and big data technologies such as Hadoop or Spark.
4. Experience with data modeling and ETL processes.
5. Strong problem-solving skills and attention to detail.
6. Excellent communication and teamwork skills.