Senior Data Engineer at KSA Integration
Virginia, Virginia, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Jun, 25

Salary

0.0

Posted On

14 Mar, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Computer Science, Etl Tools, Data Science, Mathematics, Sql, Data Modeling

Industry

Information Technology/IT

Description

Description:
KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through three core capabilities: (1) data analytics, (2) comprehensive veterans support, and (3) business process improvement. We are a rapidly growing government contractor that has built a reputation on focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA was awarded the 2019 - 2023 Inc. Best Workplaces, a prestigious list of businesses recognized for value placed on company culture, standout worker benefits, and the prioritization of employee well-being. KSA also received a spot on both the 2020, 2021, 2022, and 2023 Best for Vets List by Military Times in addition to winning the 2021, 2022, and 2023 Department of Labor “Hire Vets” Platinum Medallion Award.

POSITION REQUIREMENTS:

  • 10+ years of experience in data engineering.
  • BA/MS degree in Data Science, Computer Science, Engineering, Mathematics, or related field.
  • Proficiency in SQL, data modeling, and database technologies.
  • Experience with ETL tools and data integration techniques.
  • Must be able to pass a US Agency Public Trust Investigation

PREFERRED SKILLS/EXPERIENCE:

  • IBM Data Engineering Professional Certificate, Google Cloud Data Engineer Certification, or equivalent preferred.
    KSA Integration is an equal-opportunity employer
Responsibilities
  • Design and implement relational databases, data warehouses, and data lakes.
  • Develop ETL pipelines to integrate structured and unstructured data.
  • Collaborate with stakeholders to define data requirements.
  • Optimize data performance through indexing, partitioning, and caching strategies.
  • Establish data governance policies and security protocols.
  • Utilize business intelligence tools to create reports and dashboards.
  • Maintain centralized source control and ensure compatibility with cloud environments.
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