Data Engineer at Syntelligent Analytic Solutions

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

170000.0

Posted On

16 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Pipelines, AWS Cloud Services, PostgreSQL, S3, Redshift, MongoDB, DynamoDB, Redis, Elasticsearch, OpenSearch, Python, Pandas, PySpark, Airflow, Docker

Industry

Defense and Space Manufacturing

Description

OVERVIEW 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 to support a Government Customer Location: Nebraska Avenue Complex / 3801 Nebraska Ave NW, Washington, D.C. Shift: Day Anticipated Salary Range: $160,000-170,000 Status: Full-Time/ On-site Opening Type: Immediate Number of Openings: 1 Duties will include: 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. Duties: * 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.  Qualifications: * 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. 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. Clearance: TS/SCI Certification Requirement: none 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. ONLINE APPLICATIONS, PLEASE. 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 at 540‑736‑4570.

Responsibilities

The Data Engineer will be responsible for interpreting business needs, selecting appropriate technologies, and implementing data governance for shared data sets while working with stakeholders to plan and deliver optimal data solutions. Duties include creating, maintaining, and optimizing data pipelines from development to production, analyzing system architecture, and designing information systems solutions.