Data Engineer

Apex Systems; Greenwood Village (CO); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology services provider is seeking a skilled data engineer to design and maintain ETL pipelines to ensure data quality and availability. Responsibilities include implementing monitoring solutions, managing deployment pipelines, and communicating engineering processes to diverse professionals. Preferred expertise in Scala, experience with BigData tools like Spark, and knowledge of AWS services are essential for this role. This position is located in Greenwood Village, Colorado.

Qualifications

• Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python.
• Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems.
• Proficiency in building and managing ETL pipelines.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability.
• Implement monitoring and alerting solutions to ensure data pipeline reliability and performance.
• Develop and manage deployment pipelines to facilitate continuous integration and delivery.

Skills

Scala

Java

Python

Spark

AWS

SQL

Tools

Hadoop

S3

Lambda

Redshift

EMR

Job description

Job #3015570

Responsibilities

• Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability.
• Implement monitoring and alerting solutions to ensure data pipeline reliability and performance.
• Develop and manage deployment pipelines to facilitate continuous integration and delivery of data engineering solutions.
• Document and communicate data engineering processes and standards to business‑intelligence, data, and analytics professionals with varied backgrounds.
• Continuously evaluate and improve data engineering tools and approaches to enhance performance and efficiency.

Qualifications

• Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python.
• Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems.
• Proficiency in building and managing ETL pipelines.
• Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR.
• Strong understanding of relational databases and SQL, and familiarity with NoSQL databases.
• Knowledge of data architecture, data warehousing, and data marts.
• Experience in implementing monitoring solutions and deployment pipelines for data applications.
• Ability to work with distributed systems and manage data storage solutions.
• Demonstrated ability and desire to continually expand skill set, and learn from and teach others.

EEO Employer: Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.