Data Engineer

Syntelligent Analytic Solutions, LLC
Washington, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 170K

Job location

Washington, United States of America

Tech stack

API
Agile Methodologies
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Computing Platforms
Confluence
JIRA
Collaborative Software
Information Systems
Databases
Data Dictionary
Information Engineering
Data Governance
Data Infrastructure
Data Integration
ETL
Data Systems
DevOps
Distributed Systems
Amazon DynamoDB
Elasticsearch
Push Technology
Java Message Service (JMS)
Python
PostgreSQL
MongoDB
Object-Oriented Software Development
Open Source Technology
Raw Data
Redis
Software Tools
Amazon Web Services (AWS)
SQL Databases
Data Streaming
Systems Architecture
Data Processing
Scripting (Bash/Python/Go/Ruby)
AWS Lambda
Pandas
Kubernetes
Kafka
Apache Nifi
3-tier Architectures
Data Delivery
Amazon Web Services (AWS)
Data Pipelines
Docker
Redshift

Job description

Syntelligent is seeking a Data Engineer to support a Government Customer, 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., * 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.

Requirements

  • 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., * 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.

About the company

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.

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