Entarian is seeking a Data Engineer to design, build, and sustain telemetry and analytics pipelines that capture data from cloud, endpoint, network, and application sources. The role supports real-time processing and decision making for analytics, monitoring, and security, aligning with Zero Trust architectures and secure data practices. This on-site position in Denver collaborates across analytics, cloud, security, and platform engineering teams to ensure high-quality data flows that empower operational insights.
Note: Position is contingent upon contract award and funding.
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 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.
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, PowerPoint, Excel, Project, and Outlook.
- Ability to travel approximately 25% to support customer locations, mission partner engagements, and operational activities.
Technologies
Azure Data Factory, AWS Glue, Databricks, Kafka, Spark, Flink, Python, SQL, S3, ADLS, GCS, Elastic, Splunk, Azure Monitor, Grafana, OpenTelemetry, Terraform, ARM/Bicep
Location
Denver, CO (onsite)
Salary
USD 105,000 - 130,000 per year
