Data Engineer: Pipelines, Big Data & Data Security

GetJobSmart

Albuquerque (NM)

On-site

USD 90,000 - 130,000

Full time

8 days ago

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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 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

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