Data Engineer IV

Description:
Hybrid 3 days onsite / 2 remote in Greenwood Village, CO

Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL pipelines and data infrastructure supporting a data lake, anomaly detection models, and AI agents. The role focuses on Spark and Scala development, onboarding diverse network data sources, ensuring data quality and reliability, and enabling downstream consumers to access well-structured datasets.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $65.00 to $75.00/hr. w2

JN
-40

Responsibilities:

• Design, develop, and maintain scalable ETL pipelines using Apache Spark with Scala for the IIA Data Lake.
• Onboard and transform network data sources including telemetry, syslogs, SNMP traps, device configurations, and ticketing systems.
• Implement monitoring and alerting to ensure pipeline reliability and performance.
• Develop and manage CI/CD deployment pipelines for data engineering solutions.
• Manage and optimize data storage across distributed file systems, relational databases, flat files, and API-based sources.
• Implement data quality checks, validation rules, and automated testing.
• Optimize performance for large-scale batch and mini-batch processing.
• Manage schemas, partitioning strategies, and storage formats for efficient querying.
• Support data backfills and recovery due to upstream issues or schema changes.
• Collaborate to align solutions with production architectures and business needs.
• Partner with data scientists and agent developers to deliver datasets for anomaly detection and AI agent workflows.
• Provide guidance on data engineering best practices.
• Document and communicate standards and processes to diverse stakeholders.
• Continuously evaluate and improve tools and approaches.

Experience Requirements:

• Proficiency in Python and strong experience with Apache Spark for distributed processing. Scala experience or willingness to learn.
• Proven experience building and maintaining large-scale ETL pipelines.
• Experience with AWS services such as S3, Glue, Athena, and EMR.
• Strong SQL and understanding of relational databases.
• Knowledge of data architecture, warehousing, partitioning, and columnar formats such as Parquet.
• Experience implementing data quality and validation frameworks.
• Experience with workflow orchestration tools, preferably Airflow.
• Proficiency with Linux and shell scripting.
• Experience with Git and collaborative workflows.
• Experience with streaming or mini-batch processing, Spark Streaming, or similar preferred.
• Experience with Kafka or similar platforms preferred.
• Experience with No
  
  SQL databases preferred.
• Telecommunications or large-scale network operations experience preferred.
• Familiarity with network data sources such as telemetry, syslogs, SNMP traps, and device configurations preferred.
• Experience with REST APIs and cloud SDKs such as boto3 preferred.
• Experience writing automated tests for data pipelines preferred.
• Knowledge of text analysis or log parsing techniques preferred.

Education Requirements:
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or related field, or relevant experience. Bachelor's degree with 5+ years of data engineering experience or Master's degree with 3+ years of data engineering experience.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental,…