Data Engineer

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space. Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented. Responsibilities: Syntelligent is seeking a Data Engineer for upcoming work with a federal client in Washington, DC . 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. Qualifications : TS-SCI clearance Bachelor's degree or equivalent practical experience and 4 years of relevant experience Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S). Familiar with Amazon Web Managed Services (AWS). Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML. Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. 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. Preferred Qualifications : 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. Experience with cloud message APIs and usage of push notifications. Specialization in Object Oriented Programming languages, scripting, and databases. Responsibilities : 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. 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. Manage production data within multiple datasets ensuring fault tolerance and redundancy. Design and develop robust and functional dataflows to support raw data and expected data. Provide Tier 3 technical support for deployed applications and dataflows. 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. Role Requirements : Minimum education requirements: Bachelor's Degree Part time or full time: Full Time Flexibility option: High Co-Location Physical Requirements: Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally. Mental Requirements: Must be able to multi-task and rapidly change priorities with limited notice. Skills: Stakeholder Management ETL Data Pipelines Effective Team Communication Product Management Data Engineering Data Management Master Data Management Agile Intelligence Community Client Engagement Online applications, please. The likely salary range for this position is $120,000-128,000 per year. This is not, however, a guarantee of compensation or salary; rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Other rewards may include annual bonuses, Spot bonuses, and program-specific awards. In addition, Syntelligent provides a variety of benefits to all our Full-Time employees. When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you. Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact our Human Resources department at 540-736-4570, Extension 2