Telemetry Data Engineer - Real-Time Analytics Pipeline

Entarian; Denver (CO); On-site; USD 105,000 - 130,000; Full time

Job summary

Entarian seeks an experienced Data Engineer to design, build, and maintain telemetry data pipelines for analytics, monitoring, and security decision‑making. You will ensure high‑quality, real‑time data flow across cloud and on‑prem environments to support Zero Trust architectures.

The ideal candidate has 5+ years in large‑scale technical settings (space systems, ground infrastructure, or enterprise IT) and strong Python/SQL plus data modeling skills. Travel ~25% may be required.

Qualifications

• Active Secret security clearance.
• Bachelor’s degree in information technology, computerscience, engineering, or related technical discipline.
• Minimum five (5) years of experience with modern data engineering platforms and building ingestion/streaming pipelines.
• Proficiency in Python, SQL, or similar languages.
• Knowledge of data modeling, ETL/ELT patterns, and distributed systems.
• Familiarity with telemetry sources and security/monitoring tools.
• Experience with cloud storage (S3, ADLS, GCS) and data warehouses/lakehouses.
• Understanding of data governance, lineage, and quality frameworks.
• Good technical communication skills.
• Ability to travel approximately 25%.

Responsibilities

• Design and implement scalable telemetry ingestion pipelines across cloud, endpoint, network, and application sources.
• Build real‑time and batch processing workflows using modern data engineering tools.
• Develop data models, schemas, and metadata structures to support analytics and dashboards.
• Optimize pipeline performance, reliability, observability, and data quality.
• Integrate telemetry from identity systems, logging platforms, monitoring tools, and security technologies.
• Create automation for ETL/ELT processes, data normalization, and event enrichment.
• Collaborate with analytics, cloud, security, and platform engineering teams to define data requirements.
• Ensure pipeline governance, retention, and secure data handling.
• Troubleshoot ingestion issues, latency problems, schema drift, and data integrity concerns.
• Document pipeline architecture, data flow diagrams, and operational procedures.

Skills

Python

SQL

Data modeling

ETL/ELT patterns

Distributed systems

Education

Bachelor's degree in IT/CS/Engineering

Tools

Azure Data Factory

AWS Glue

Databricks

Kafka

Spark

Flink

S3

ADLS

GCS

Job description

Entarian seeks an experienced Data Engineer to design, build, and maintain telemetry data pipelines for analytics, monitoring, and security decision‑making. You will ensure high‑quality, real‑time data flow across cloud and on‑prem environments to support Zero Trust architectures.

The ideal candidate has 5+ years in large‑scale technical settings (space systems, ground infrastructure, or enterprise IT) and strong Python/SQL plus data modeling skills. Travel ~25% may be required.