Data Engineer (Data Architecture & Engineering)

Bridge Defense•Washington, DC

4h•Onsite

About The Position

As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions.

Requirements

Active TS/SCI clearance
Bachelor’s degree or equivalent practical experience.
Expertise in distributed computing frameworks to handle large-scale data processing.
Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.
Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka.
Familiar with Linux/Unix server environments.
Experience with Agile development methodology.
Publishing and/or presenting design reports.
Coordinating with other team members to reach project milestones and deadlines.
Working knowledge with Collaboration tools, such as, Jira and Confluence
Strong risk management skills
Excellent communication, teamwork, and conflict management skills.
Analytical and effectively able to prioritize needs, requirements, and other issues.
Ability to communicate and interact effectively at all levels of staff and management.
Ability to exercise independent judgment, develop relationships, and obtain consensus among interested parties.
Critical thinker with strong technical skills, diagnostic skills and problem-solving ability.
Solid written and verbal communication skills to negotiate direction, drive projects and projects to successful conclusion and deliver knowledge to team members verbally and via clear designs, runbooks and technical engineering and exchange sessions.
Self-starter, flexible, adaptable, collaborative and motivated to champion continuous improvement.
Ability to develop peer networks across an enterprise to maintain technology awareness and to support resolution of problems.
Ability to operate across traditional technical boundaries, comfortable working in the compute space as well as the storage space in an operational capacity.
Technically curious and driven to learn new skills.

Nice To Haves

Master’s degree or equivalent experience in a related field.
Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
Familiarity and experience with the Department of Homeland Security (DHS).
Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).
Experience with cloud message APIs and usage of push notifications.
Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
Working knowledge with public keys and digital certificates.
Experience with DevOps environments.
Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
Specialization in Object Oriented Programming languages, scripting, and databases.

Responsibilities

Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
Develop and design data pipelines to support an end-to-end solution.
Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).
Integrate data pipelines with AWS cloud services to extract meaningful insights.
Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.
Design and develop robust and functional dataflows to support raw data and expected data.
Provide Tier 3 technical support for deployed applications and dataflows.
Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives.
Create and manage product roadmaps that reflect both innovation and growth strategies.
Partner with a government product owner and a product team of 7-8 FTEs.
Collaborate with the rest of data engineering team to design and launch new features.
Coordinate and document dataflows, capabilities, etc.
Occasionally (as needed) support to off-hours deployment such as evening or weekends.