Software Engineer - TS/SCI w/Poly

Reposted 5 Days Ago
Be an Early Applicant
Chantilly, VA
In-Office
Senior level
Information Technology • Consulting
The Role
Design and develop scalable backend services and data ingestion solutions while optimizing applications for maximum speed and scalability in an Agile environment. Collaborate across disciplines and drive innovation in building robust APIs and data pipelines.
Summary Generated by Built In

TS/SCI w/ FSP required

The Sponsor's data analytics and collection services provide intelligence products to inform operations, drive collection, solve Sponsor business problems, and support national security needs. The Sponsor specializes in development and maintenance of large-scale innovative solutions to solve the Sponsor's leading challenges in data correlation, aggregation, and graphing. The contractor shall support the advancement of the Sponsor's solution with highly technical software development to meet complex and evolving mission needs.

KEY RESPONSIBILITIES

  • Demonstrated experience with Java Development
  • Demonstrated experience designing, developing, maintaining, and troubleshooting APIs
  • Demonstrated experience with Python
  • Demonstrated Big Data experience

Requirements

1. (U) Demonstrated experience with Java development.

2. (U) Demonstrated experience with Big Data technologies, to include designing and operating Big Data systems.

3. (U) Demonstrated experience with API development, maintenance, and troubleshooting.

4. (U) Demonstrated experience with designing cloud-native architectures using cloud services such as AWS, Google, IBM, and Oracle

5. (U) Demonstrated experience building and optimizing performance of large scale graph databases (tens of billions of edges) using DynamoDB or new enhanced capabilities

6. (U) Demonstrated experience developing and operating graph traversal capabilities using data graphing tool traversal capabilities built upon Apache Gremlin or new enhanced capabilities

7. (U) Demonstrated experience developing and operating NoSQL solutions to complex big data applications

8. (U) Demonstrated experience in data modeling for performance, partition sharding, record/event aggregation workflows, stream processing, and metrics gathering

9. (U) Demonstrated experience designing and operating large-scale serverless geospatial indexes

built with GeoMESA

10. (U) Demonstrated experience with partition and sort key design and implementation to ensure consistent performance

11. (U) Demonstrated experience with aggregation operations to de-duplicate records on continuous data feeds

12. (U) Demonstrated subject matter expertise experience with relational databases to noSQL

13. (U) Demonstrated experience building and operating high performance data processing pipelines using Lambda, Step Functions and PySpark

14. (U) Demonstrated experience building high quality User Interface/User experiences with the React framework and webGL

15. (U) Demonstrated experience designing and operating large scale graph databases using Apache Cassandra

16. (U) Demonstrated experience performing in-depth technical analysis of large-scale graph databases to develop implementation strategies for search optimizations

17. (U) Demonstrated experience developing technical capabilities for processing, persistence and search of datasets that are collected or maintained using standards common in the Sponsor's community

18. (U) Demonstrated experience facilitating engineering discussions across teams representing multiple stakeholders to develop and execute implementation strategies that meet mission needs

19. (U) Demonstrated experience developing Machine Learning Operations (MLOps) pipelines for large scale application

20. (U) Demonstrated experience maintaining configuration of software using configuration management resources such as GitHub

21. (U) Demonstrated experience designing, building and operating big data systems, such as persistence, partitioning, indexing, at scale of trillions of records/events

22. (U) Demonstrated experience with Niagara Files (NiFi) applications or new enhanced capabilities

23. (U) Demonstrated experience developing and operating Kubernetes infrastructure

24. (U) Demonstrated experience supporting engineering efforts that will contribute to delivery of capabilities such as datasets and functionality such as communications, geospatial workflows

25. (U) Demonstrated experience implementing DevSecOps and agile development in production environments

26. (U) Demonstrated experience with agile software development and testing

27. (U) Demonstrated experience with federal security, regulatory and compliance requirements and security accreditation package development

28. (U) Demonstrated experience with data security and governance using centralized security controls like LDAP, encrypting the data, and auditing access to the data

29. (U) Demonstrated experience with specialized technologies that are optimized for the particular use of the data, such as relational databases, a NoSQL database (Cassandra), or object storage

30. (U) Demonstrated experience with Apache, TINKERPOP, GREMLIN and/or JANUSGRAPH to design, develop, implement and maintain system

31. (U) Demonstrated knowledge of Graph Database to design, develop, implement and maintain system

32. (U) Demonstrated experience with C or C++ to write interfaces

33. (U) Demonstrated experience using centralized security controls like LDAP, encrypting data, and auditing access to data

34. (U) Demonstrated experience with:

 Databases: Postgres, MariaDB, ELK, Minio, AWS S3, Neo4j, MongoDB, noSQL

35. (U) Demonstrated experience with:  Languages: Python (pypi libraries)

36. (U) Demonstrated experience with:  Operating Systems: Centos7, RockyLinux8

37. (U) Demonstrated experience with:  Orchestration: Kubernetes, Docker, Docker-Compose, Docker-Swarm

38. (U) Demonstrated experience with:

 Development Tools: vscode, gitlab, jupyterhub/notebooks, MATLAB

39. (U) Demonstrated experience with:

 Environments: large collaboration and development environments

40. (U) Demonstrated experience with:

 Data types: Unstructured, structured, or semi-structured data, including: CSV, JSON, JSONL, AVRO, Protocol Buffers, Parquet, etc


Benefits

• Vacation – 5 weeks of accrued paid vacation per year (i.e., 8.33 hours accrued per pay period worked)

• Holidays - Paid holidays published annually by the Office of Personnel Management, excluding Inauguration Day

• 100% paid for Health Benefits* (United Healthcare, Guardian Dental, VSP Vision, MetLife, Life and Disability Insurance and annual $1500 employer HSA contribution on qualified plans) *health benefits kick in the 1st of the month following your start date

• 6% 401k Contribution (3% paid out during each pay period, the additional 3% will be paid out as a lump sum in Q1 each year)

• Training Reimbursement – Approved training and education expenses will be reimbursed

• Travel Expenses – Approved travel expenses will be reimbursed *Note – From time to time, the company may change employee benefits.

Top Skills

APIs
Cloud
Elastic
ETL
Microservices
MongoDB
Nifi
Node.js
NoSQL
Python
RabbitMQ
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The Company
HQ: McLean, VA
49 Employees
Year Founded: 2010

What We Do

Leading Path is a people first, award-winning, minority owned (NMSDC / MBE) management and technology consulting company that brings top talent and creative solutions to our clients. At Leading Path we help clients tackle their hardest challenges and build customized solutions that deliver stunning results.

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