Overview/ Job ResponsibilitiesPosition is contingent upon contract award and funding.
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.
Key Responsibilities may include, but not limited to:- 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.
Salary range: $105,000.00 - $130,000.00
Minimum Qualifications- 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.
Desired Qualifications- 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.
Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal
Connect,Referrals & Inquiries? Email the team: [email protected] 
