Data Engineer IV

Eliassen Group; Greenwood Village (CO); Hybrid; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Data Engineer IV to design, build, and maintain scalable ETL pipelines and data infra supporting a data lake, anomaly detection models, and AI agents. The role emphasizes Spark and Scala development, onboarding diverse network data sources, and ensuring data quality for downstream access.

Responsibilities include CI/CD for data solutions, data storage management, and collaboration with scientists to deliver rich datasets for AI workflows.

Qualifications

• Proficient in Python and Spark for distributed processing.
• Experience building and maintaining large-scale ETL pipelines.
• Experience with AWS services S3, Glue, Athena, and EMR.
• Strong SQL and relational database understanding.
• Knowledge of data warehousing, partitioning, and Parquet formats.
• Experience with data quality and validation frameworks.
• Experience with Airflow and CI/CD for data solutions.
• Linux shell scripting, Git workflows, and collaboration.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines with Spark and Scala.
• Onboard diverse network data sources and ensure data quality.
• Implement monitoring, alerting, and performance optimizations.
• Develop CI/CD deployment pipelines for data solutions.
• Manage storage across distributed file systems and databases.
• Collaborate with data scientists on anomaly detection datasets.
• Document standards and promote best practices.
• Support backfills and schema changes with robust recovery.

Skills

Python

Apache Spark

Scala

ETL pipelines

Data lakes

SQL

Airflow

Git

Linux scripting

Boto3 / AWS SDK

Education

Bachelor's degree in CS/Math/Engineering

5+ years data engineering or 3+ years with Master's

Tools

Airflow

AWS (S3, Glue, Athena, EMR)

Kafka

Parquet

Job description

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 -082026-108340

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 NoSQL 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.