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2 jobs found

1mo ago

Senior Data Engineer

NIRA Inc. Washington, DC

Washington, DC

1mo ago Closed

$170k+/yr Full time Senior Apache Airflow Aws Govcloud

This position is no longer accepting applications (closed Sep 8, 2026).

Job Description

NIRA Inc. is seeking a Senior Data Engineer to support the U.S. Department of Justice Digital Evidence Review Platform program. In this onsite role in Washington, DC, you will help design and run high-volume ingestion and processing pipelines that protect integrity and provenance while keeping auditability, access control, and chain-of-custody information intact.

You will be responsible for end-to-end pipeline engineering across development, testing, deployment, and operations, with an emphasis on resilient processing for structured and unstructured data used in digital evidence workflows.

Responsibilities

Design, develop, test, operate, and optimize high-volume data ingestion, transformation, integration, and processing pipelines.
Ingest, normalize, enrich, validate, store, search, export, archive, and restore structured and unstructured data.
Process inputs including forensic extraction packages, documents, messages, multimedia, call records, geolocation data, cloud-provider returns, metadata, and outputs from Government-furnished parsers and external systems.
Implement validation, hashing, error handling, retry, reconciliation, reprocessing, and data-quality controls.
Preserve source identifiers, processing history, lineage, provenance, and chain-of-custody events.
Support OCR, transcription, translation, deduplication, metadata extraction, entity extraction, and enrichment workflows.
Develop schemas, canonical data models, metadata structures, and open, portable export formats.
Support search, analytics, and AI/ML-enabled processing while maintaining human oversight and auditability.
Automate deployment and testing through CI/CD and configuration-management practices.
Tune pipeline performance and troubleshoot failures across development, test, UAT, production, and disaster-recovery environments.
Maintain technical documentation and collaborate with architects, software engineers, cloud integrators, cybersecurity personnel, and product specialists.

Requirements

Bachelor's degree in engineering, mathematics, or science.
At least 15 years of relevant experience in data engineering, data integration, data architecture, software engineering, or large-scale data-processing.
A master's degree may substitute for two years of required experience; a PhD may substitute for four years.
Extensive experience designing, developing, and maintaining enterprise data ingestion, transformation, integration, and processing pipelines.
Experience processing structured and unstructured data from multiple sources and formats.
Experience with data modeling, metadata, schema design, data lineage, data quality, error handling, reconciliation, and audit logging.
Experience developing in Python, Java, Scala, SQL, or comparable data-engineering languages.
Experience with cloud-based data platforms, distributed processing, object storage, databases, search platforms, or analytics environments.
Experience supporting CI/CD, automated testing, configuration management, performance tuning, and production troubleshooting.
S. citizenship and ability to meet DOJ residency and personnel-security requirements.
Ability to obtain and maintain a High-Risk Public Trust investigation and PIV credential.

Technologies

Python, Java, Scala, SQL
CI/CD, OCR
Spark, Databricks, Kafka, Airflow
AWS GovCloud, Azure Government
FedRAMP-authorized SaaS
LLM/RAG

Preferred Qualifications

Experience with digital evidence, forensic data, eDiscovery, law-enforcement data, case-management data, or other high-integrity federal datasets.
Experience with AWS GovCloud, Azure Government, FedRAMP-authorized SaaS, or hybrid federal cloud environments.
Experience processing PDFs, text, messages, multimedia, call records, geolocation data, forensic extraction files, or large document collections.
Experience with OCR, natural-language processing, entity extraction, transcription, translation, deduplication, AI/ML enrichment, or LLM/RAG pipelines.
Experience with Python-based data frameworks, Spark, Databricks, Kafka, Airflow, cloud-native data services, or comparable technologies.
Experience implementing hashing, immutable audit records, provenance, lineage, retention, archival, and data-restoration controls.
Experience designing open-format exports, APIs, canonical schemas, or data-exchange interfaces that reduce vendor lock-in.

Location: Washington, DC (onsite). Compensation: USD 170,000 per yearly.

Education: Bachelor's degree in engineering, mathematics, or science.

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1mo ago

Data Analyst / Dashboard Developer (Secret Clearance)

System One Hampton, VA

Hampton, VA

1mo ago Closed

Full time Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

The Data Analyst / Dashboard Developer will design, implement, and maintain a live Performance Dashboard with automated data integration to support ACC leadership. This onsite role in Hampton, VA requires a Secret clearance and the ability to obtain TS/SCI.

Responsibilities

Build and deploy the live Performance Dashboard within 60 days of contract award on Power BI hosted on FedRAMP authorized or DAF365 platforms
Token and License Management System (TLMS) – token allocation, utilization, compliance status by wing and directorate
Learning Management System (LMS) – training completions, assessment scores, proficiency tracking
Help Desk Ticketing System – response times, resolution rates, recurring issue categories
Integrated Master Schedule (IMS) – task completion, schedule performance, milestone tracking
Workflow Development Pipeline – prototype status, transition timelines, ROI documentation
Training completions prior to access grant
Token and license utilization by wing and directorate
AI and RPA workflow development and transition status
Help desk response and resolution rates
Travel execution against approved wing visit schedules
Quarterly performance trends and year-over-year comparisons
Establish automated data pipelines from source systems to the dashboard with daily refresh cycles, or more frequent where technically feasible
Validate data accuracy through cross-referencing with source system reports and manual audits
Identify and resolve data quality issues including missing records, duplicate entries, and classification mismatches
Coordinate with the Token/Resource Administrator, Help Desk Analysts, and Program Analyst to ensure source data integrity
Document all data transformation logic, calculation methodologies, and business rules in technical specifications
Maintain a data dictionary defining every metric, dimension, and KPI displayed on the dashboard
Generate comprehensive Quarterly Performance Brief data packages for PM and COR review 5+ business days before scheduled briefs
Produce executive summary slides showing KPI trends, QASP standard compliance, and performance variance analysis
Develop drill-down appendices with wing-level breakouts, directorate comparisons, and time-series trend charts
Coordinate with the Stakeholder Engagement & KM Specialist to package metrics into governance-ready narratives
Prepare data visualizations optimized for executive audiences (clear, concise, actionable)
Document all data sources, assumptions, and calculation methods for COR transparency
Conduct monthly service desk trend analysis identifying Top 10 recurring issue categories requiring knowledge base articles or training updates
Response and resolution time performance against QAP standards
Ticket volume trends by wing, directorate, and platform
Knowledge gaps indicating curriculum deficiencies
Platform issues requiring vendor escalation or technical advisory engagement
Deliver service desk analysis reports to the Deputy PM within 5 business days of each month close
Track time from knowledge gap identification to updated training deployment as a mandatory KPI
Measure knowledge base utilization impact on ticket volume reduction over time
Analyze token and license utilization patterns to identify underutilized allocations suitable for reallocation
Analyze token and license utilization patterns to identify high-demand wings requiring additional resource allocation
Analyze token and license utilization patterns to identify cost-sharing opportunities across participating wings
Analyze token and license utilization patterns to identify compliance gaps where users received tokens without completing training
Generate monthly utilization reports for the Token/Resource Administrator showing allocation efficiency and compliance status
Produce cost-per-user and cost-per-wing analytics supporting ACC budget planning
Forecast future resource requirements based on training completion trends and wing expansion plans
Respond to ad hoc data requests from the PM, COR, and functional leads within 2 business days
Conduct root cause analysis when KPIs fall below QASP thresholds, identifying contributing factors and corrective action recommendations
Support RAID log population with data-driven risk assessments and impact quantification
Perform comparative analyses across wings to identify best practices and adoption barriers
Develop predictive models forecasting training completion rates, token demand, and workflow development throughput
Dashboard operational within 60 days of contract award with all six PWS KPI categories integrated
Daily data refresh cycles maintained with 99% plus uptime (excluding planned maintenance)
Quarterly performance brief data packages delivered 5+ business days before scheduled briefs with zero data accuracy issues requiring correction
Monthly service desk trend analysis delivered within 5 business days of month close
Ad hoc analysis requests completed within 2 business days of PM/COR request
Data quality audits conducted quarterly with findings documented and corrective actions implemented within 10 days

Technologies

Power BI
Power Automate
Microsoft Excel (Power Query, Power Pivot, DAX)
SQL
DAF365
SharePoint
LMS
TLMS

Schedule and Availability

Core Hours: 0800-1700 EST, Monday-Friday
Flexibility: Occasional early morning or evening meetings to accommodate wing schedules across time zones
Surge Periods: Increased hours during major milestones, events, or exercises with advance notice

Security Environment

Work with classified information up to Top Secret/SCI level
Compliance with OPSEC, CUI handling, and classification protocols
Subject to security inspections, audits, and continuous evaluation
Adherence to base access, badge, and facility security requirements

Performance Expectations

Dashboard operational within 60 days of contract award with all six PWS KPI categories integrated
Daily data refresh cycles maintained with 99% plus uptime (excluding planned maintenance)
Quarterly performance brief data packages delivered 5+ business days before scheduled briefs with zero data accuracy issues requiring correction
Monthly service desk trend analysis delivered within 5 business days of month close
Ad hoc analysis requests completed within 2 business days of PM/COR request
Data quality audits conducted quarterly with findings documented and corrective actions implemented within 10 days

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Fedramp Data Jobs

Senior Data Engineer

Data Analyst / Dashboard Developer (Secret Clearance)

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