Data Engineer

Syntelligent Analytic Solutions

$160K — $170K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • Expertise in distributed computing for large-scale data processing.
  • Familiarity with Amazon Web Managed Services (AWS) or similar cloud environments.
  • Experience with datastores like PostgreSQL, S3, Redshift, and others.
  • Proficiency in Python with libraries such as pandas and PySpark.
  • Knowledge of software platforms like Docker and Kubernetes.
  • Experience with Agile development methodologies.

Responsibilities

  • Identify and implement internal process improvements for scalability.
  • Develop and design data pipelines for end-to-end solutions.
  • Create and maintain artifacts related to ETL processes.
  • Integrate data pipelines with AWS cloud services.
  • Support stakeholders with data infrastructure and technical issues.
  • Design robust dataflows that cater to raw and processed data needs.
  • Provide Tier 3 technical support for applications and dataflows.

Benefits

  • Collaborative work environment with a team-oriented culture.
  • Opportunities for professional growth and development.
  • Engagement with impactful projects in national security.
  • Support for ongoing learning of new technologies and methods.
Full Job Description
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.

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