Data Engineer

Pioneering Evolution

Arlington (VA)

On-site

USD 100,000 - 155,000

Full time

46 hours ago

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Benefits offered by this job

Paid time off

10 paid holidays

Medical insurance

Vision insurance

Legal assistance

Company-paid life insurance and AD&D

Company-paid long-term and short-term

Job summary

Pioneering Evolution is seeking a Data Engineer to design, develop, and operate secure enterprise data solutions for the SyncPoint program in Arlington, VA. You will work with software engineers, analysts, and AI/ML engineers to build reliable data pipelines, models, and analytics services.

Strong DoD data domain experience and Azure Gov familiarity are highly valued. The role emphasizes data architecture, ETL/ELT development, data quality, governance, and secure service integrations with

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related technical discipline.

Responsibilities

Design and maintain relational and analytical data models.
Develop ETL/ELT pipelines for syncing data across systems.
Build data integrations with Navy ERP, PIEE, and EDW.
Ensure data quality, lineage, and governance across DoD environments.
Collaborate with software engineers, AI/ML teams, and product owners.
Maintain secure, scalable data architectures for IL4 environments.

Skills

SQL proficiency

Data modeling

ETL/ELT

Python

C#/.NET

Git CI/CD

Security & compliance

Education

Bachelor’s degree in Computer Science or related

Tools

PostgreSQL

Azure (Azure Government)

RabbitMQ

Azure Service Bus

Azure Event Hubs

REST APIs

Git

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Arlington, VA, US

17 days ago Requisition ID: 1032

Salary Range: $100,000.00 To $155,000.00 Annually

POSITION DESCRIPTION:

Pioneering Evolution is seeking a Data Engineer to design, develop, integrate, and operate secure enterprise data solutions for the SyncPoint program. The Data Engineer will work closely with software engineers, the Chief Engineer, product teams, analysts, and the AI/ML Engineer to build reliable data pipelines, data models, integrations, and analytical data services. The role ensures that SyncPoint data is accurate, traceable, secure, performant, and readily available to operational applications, reporting capabilities, external integrations, and AI-enabled features.

The ideal candidate brings strong experience with PostgreSQL, Microsoft Azure, data modeling, ETL/ELT, APIs, and event-driven architectures, combined with an interest in operating data solutions within regulated DoD environments. This role is expected to develop deep familiarity with DoD financial data domains including Navy ERP, PIEE, EDW, and the PPBE lifecycle. This position aligns to the Data Engineer (Services Lead) role defined in the SyncPoint staffing plan.

Key Responsibilities:

Data Architecture and Modeling

Design and maintain relational and analytical data models supporting SyncPoint’s complex DoD financial management domains.
Develop normalized transactional schemas and denormalized models optimized for application, integration, and analytical workloads.
Define relationships, constraints, indexes, and data-integrity rules; support multi-tenant isolation strategies.
Develop strategies for historical data, auditing, lineage, provenance, and retention aligned to DoD requirements.
Participate in architecture reviews; document data flows, ownership, and system-of-record boundaries.

Data Engineering and Pipelines

Design, develop, test, and maintain reliable ETL/ELT pipelines for importing, transforming, validating, and distributing data across SyncPoint.
Build repeatable processes for migrating legacy financial, planning, project, funding, and operational data from predecessor systems.
Implement data validation, reconciliation, deduplication, and quality-control processes.
Support incremental, scheduled, and event-driven data synchronization across services and environments.

PostgreSQL and Database Engineering

Develop and optimize complex PostgreSQL queries, views, indexes, functions, and stored procedures.
Analyze query execution plans and resolve database performance issues.
Design and maintain hierarchical data structures; develop safe schema migration, seed-data, and data-correction scripts.
Support database schema evolution across development, test, and production environments.

Data Integration

Build and maintain integrations between SyncPoint and external government and commercial systems including Navy ERP, PIEE, and EDW.
Develop transformations between external schemas and SyncPoint’s internal canonical data models.
Support secure service-to-service REST API integrations with appropriate authentication and authorization patterns.

AI and Analytics Data Enablement

Prepare trusted, structured datasets for AI, machine-learning, and analytics capabilities.
Support development of Retrieval-Augmented Generation (RAG) capabilities and data retrieval services for generative AI workflows.
Work with the AI/ML Engineer to establish data selection, metadata, provenance, lineage, and access-control requirements.
Ensure AI systems retrieve only information the requesting user or service is authorized to access.

Data Quality and Governance

Establish automated data-quality checks for completeness, validity, consistency, uniqueness, and referential integrity.
Maintain data lineage and traceability for critical financial information; document data mappings, transformation rules, and data dictionaries.
Support data retention, archival, and deletion requirements appropriate to DoD and compliance environments.

Security and Compliance

Design data solutions appropriate for DoD Impact Level 4 (IL4) environments.
Support secure handling and protection of Controlled Unclassified Information (CUI).
Apply least-privilege access, encryption, auditing, and secure data-transfer practices.
Ensure development and troubleshooting processes do not expose protected data through logs, development tools, or unauthorized environments.
Strong data modeling and SQL expertise
Data pipeline design, development, and reliability
Ability to translate business requirements into durable data models
Systems-level problem solving across distributed data flows
Clear technical documentation
Effective collaboration with architects, developers, DevOps, and AI/ML engineers

Technical Environment:

Databases: PostgreSQL, Azure Cosmos DB
Cloud: Microsoft Azure / Azure Government
Languages: SQL, C#/.NET, Python
Data Engineering: ETL/ELT, data modeling, data quality, JSON, REST APIs
Messaging: RabbitMQ, Azure Service Bus, Azure Event Bus
Architecture: Microservices, event-driven, domain events, data projections
AI/Data Services: Azure OpenAI, embeddings, vector retrieval, RAG
DevOps: Git, Docker, CI/CD, Kubernetes, Azure DevOps
Security: Managed Identity, RBAC/ABAC, private networking, CUI/IL4 controls

REQUIRED EXPERIENCE:

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related technical discipline, or equivalent professional experience.
5+ years of professional experience in data engineering, database engineering, or backend engineering.
Advanced proficiency with SQL and relational database design.
Strong hands-on experience with PostgreSQL, including schema design, query optimization, and performance tuning.
Experience building production ETL/ELT pipelines.
Experience with C#/.NET for data processing, integration, or automation.
Experience with cloud-based data platforms, preferably Microsoft Azure.
Strong understanding of data quality, lineage, auditing, and governance principles.
Experience with Git-based development workflows and CI/CD practices.

DESIRED EXPERIENCE:

Experience with Azure Government.
Experience developing solutions for DoD or other federal government environments.
Familiarity with IL4/IL5, CUI, NIST 800-171, or related compliance requirements.
Experience with event-driven architectures (RabbitMQ, Azure Service Bus, Azure Event Hubs, or Kafka).
Experience with microservice architectures and eventual-consistency patterns.
Experience integrating financial, ERP, planning, or program-management systems.
Experience with large-scale legacy data migrations.
Experience supporting AI/ML or generative AI applications; familiarity with vector search, embeddings, or RAG architectures.
Experience with Azure Cosmos DB.

WHO WE ARE AND WHAT WE OFFER:

In addition to competitive salaries and opportunities for professional development and advancement, our employees enjoy a comprehensive range of benefits. To keep pace with the changing needs of our employees, we continually evaluate our benefit plans.