Cleared Data & Analytics Engineer

Start Date: Q1 2026
Clearance: Active Secret Clearance (or higher)
Location: Westminster, CO (On-site 4 5 days/week; local candidates strongly preferred)
Contract: Minimum 6-month contract-to-hire (with potential for extension or conversion)

We are seeking a Cleared Data & Analytics Engineer to support the design, development, and analysis of enterprise data within a secure environment. This role blends hands-on data engineering with analytics and BI enablement, owning the full lifecycle from raw data ingestion through report-ready datasets and dashboard consumption. The ideal candidate is comfortable building data pipelines and also translating data into insights for business and operational stakeholders.

Data Engineering & Pipeline Development

• Design, build, and maintain centralized data pipelines into a secure data lakehouse.

• Manage data storage and file-based systems using modern lakehouse patterns.

• Model and move data across layered architectures (bronze, silver, gold).

• Implement and maintain ETL/ELT workflows using Airflow for orchestration.

• Leverage Starburst for federated access and direct data connections where applicable.

• Work with structured and semi-structured datasets.

Analytics Engineering & BI Enablement

• Bridge data engineering and business intelligence by transforming curated data into analytics-ready models.

• Develop and maintain DBT models to convert star-schema data into report-ready formats.

• Support dashboarding and reporting use cases, ensuring data is consumable by BI tools.

• Execute ad-hoc analysis and deep dives by querying the data lakehouse to surface actionable insights.

• Coach and support BI users on best practices for querying, modeling, and dashboard design.

• Active Secret Clearance (or higher).

• Strong SQL skills with experience writing complex, performant queries.

• Solid understanding of data warehousing and data lakehouse architectures.

• Hands-on experience with DBT (Core preferred).

• Experience orchestrating pipelines with Apache Airflow.

• Ability to model data using star schemas and analytics-friendly patterns.

• Familiarity with structured and semi-structured data formats.

• Experience working in secure or cleared environments.

• Experience with Parquet and Iceberg file formats.

• Experience using Starburst or other federated query engines.

• Familiarity with Apache Superset for reporting and dashboards.

• Python experience for data processing or analytics workflows.

If you want this adapted for LinkedIn, Apollo, or a cleared-only Boolean search, I can spin those up quickly.

Here's the updated version with the location changed to Denver area.

Start Date: Q1 2026
Clearance: Active Secret Clearance (or higher)
Location: Denver Area (On-site 4 5 days/week; local candidates strongly preferred)
Contract: Minimum 6-month contract-to-hire (with potential for extension or conversion)

We are seeking a Cleared Data & Analytics Engineer to support the design, development, and analysis of enterprise data within a secure environment. This role blends hands-on data engineering with analytics and BI enablement, owning the full lifecycle from raw data ingestion through report-ready datasets and dashboard consumption. The ideal candidate is comfortable building data pipelines and also translating data into insights for business and operational stakeholders.

Data Engineering & Pipeline Development

• Design, build, and maintain centralized data pipelines into a secure data lakehouse.

• Manage data storage and file-based systems using modern lakehouse patterns.

• Model and move data across layered architectures (bronze, silver, gold).

• Implement and maintain ETL/ELT workflows using Airflow for orchestration.

• Leverage Starburst for federated access and direct data connections where applicable.

• Work with structured and semi-structured datasets.

Analytics Engineering & BI Enablement

• Bridge data engineering and business intelligence by transforming curated data into analytics-ready models.

• Develop and maintain DBT models to convert star-schema data into report-ready formats.

• Support dashboarding and reporting use cases, ensuring data is consumable by BI tools.

• Execute ad-hoc analysis and deep dives by querying the data lakehouse to surface actionable insights.

• Coach and support BI users on best practices for querying, modeling, and dashboard design.

• Active Secret Clearance (or higher).

• Strong SQL skills with experience writing complex, performant queries.

• Solid understanding of data warehousing and data lakehouse architectures.

• Hands-on experience with DBT (Core preferred).

• Experience orchestrating pipelines with Apache Airflow.

• Ability to model data using star schemas and analytics-friendly patterns.

• Familiarity with structured and semi-structured data formats.

• Experience working in secure or cleared environments.

• Experience with Parquet and Iceberg file formats.

• Experience using Starburst or other federated query engines.

• Familiarity with Apache Superset for reporting and dashboards.

• Python experience for data processing or analytics workflows.