Data Engineer - Telemetry & Analytics Pipeline

Entarian•Colorado Springs, CO

19h•$105,000 - $130,000•Hybrid

About The Position

Entarian is seeking an experienced Data Engineer - Telemetry & Analytics Pipeline to be responsible for designing, building, and maintaining data pipelines that collect, process, and deliver telemetry data for analytics, monitoring, and security decision‑making. This role ensures high‑quality, real‑time data flow across cloud and on‑prem environments to support operational insights and Zero Trust architectures. The ideal candidate will have demonstrated experience working in large-scale technical environments involving space systems, ground infrastructure, mission operations, communications networks, or enterprise IT capabilities.

Requirements

Active Secret security clearance
Bachelor’s degree in information technology, computer science, engineering, or related technical discipline. (Equivalent experience may be considered.)
Minimum five (5) years of experience with a combination of: Modern data engineering platforms (Azure Data Factory, AWS Glue, Databricks, Kafka, Spark, Flink, etc.).
Strong skills in building data ingestion and streaming pipelines.
Proficiency in Python, SQL, or similar languages.
Knowledge of data modeling, ETL/ELT patterns, and distributed systems.
Familiarity with telemetry sources (logs, metrics, events) and common security/monitoring tools.
Experience with cloud storage systems (S3, ADLS, GCS) and data warehouses/lakehouses.
Understanding of data governance, lineage, and quality frameworks.
Good technical communication skills
Proficiency with Microsoft Office Suite, including Word, Power-Point, Excel, Project, and Outlook.
Ability to travel approximately 25% to support customer locations, mission partner engagements, and operational activities.

Nice To Haves

Experience with observability stacks (Elastic, Splunk, Azure Monitor, Grafana, OpenTelemetry).
Exposure to analytics platforms or ML integration.
Infrastructure‑as‑code experience (Terraform, ARM/Bicep).
Experience with Zero Trust or security‑centric telemetry.

Responsibilities

Design and implement scalable telemetry ingestion pipelines across cloud, endpoint, network, and application sources.
Build real‑time and batch processing work-flows using modern data engineering tools and technologies.
Develop data models, schemas, and metadata structures to support analytics, dashboards, and machine learning.
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, compliance, 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.