Data Engineer
Apex Systems Inc
Data Engineer
Location: Greenwood Village, Colorado (Remote) Role Overview This role is for a Data Engineer to design, build, and maintain the ETL pipelines and data infrastructure that feed a data lake, anomaly detection models, and AI agents. The position focuses on constructing robust, scalable data pipelines using Spark/Scala, ensuring data quality and availability across a growing portfolio of network data sources. The goal is to enable downstream consumers such as data scientists, agents, and dashboards to access reliable, well-structured data. Key Responsibilities- Design, develop, and maintain scalable ETL pipelines using Apache Spark (Scala) to ingest, transform, and load network data into the data lake.
- Onboard new data sources (network telemetry, syslogs, SNMP traps, device configuration data, ticketing systems) by building ingestion pipelines.
- Implement monitoring and alerting solutions to ensure data pipeline reliability and performance.
- Develop and manage deployment pipelines for continuous integration and delivery of data engineering solutions.
- Manage and optimize data storage solutions, including distributed file systems, relational databases, and external sources accessed via API.
- Implement data quality checks, validation rules, and automated testing to ensure pipeline reliability and data integrity.
- Optimize pipeline performance for large-scale data processing across batch and mini-batch processing patterns.
- Manage and evolve data schemas, partitioning strategies, and storage formats.
- Support data backfills and recovery when upstream issues or schema changes require reprocessing.
- Collaborate with data scientists and agent developers to deliver datasets that support anomaly detection models and AI agent workflows.
- Expert-level experience in building and maintaining ETL pipelines for Big Data.
- Programming experience with Python and/or Scala.
- Experience with large-scale data processing with Spark.
- Experience with AWS services: S3, Glue, Athena, and EMR, including working with EMR as the operating system.
- Strong understanding of relational databases and SQL.
- Knowledge of data architecture, data warehousing, partitioning strategies, and columnar storage formats (e.g., Parquet).
- Experience with workflow orchestration tools, with a preference for Airflow.
- Proficiency with Linux-based operating systems and shell scripting.
- Experience with Git-based version control and collaborative development workflows.
- Experience with streaming or mini-batch data processing (Spark Streaming, structured streaming, or similar).
- Experience with Apache Kafka or similar messaging/streaming platforms.
- Experience with NoSQL databases.
- Experience in the telecommunications industry or other large-scale network operations environments.
- Familiarity with network data sources: telemetry, syslogs, SNMP traps, device configuration data.
- Experience with data integration via REST APIs and cloud SDKs (e.g., boto3).
- Experience writing automated tests for data pipelines.
- Knowledge of text analysis or log parsing techniques.
Vacancy posted 3 days ago
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