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BTI

Data Engineer

BTI Washington, District of Columbia, United States

IT Services and IT Consulting · 51-200 employees

13 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

The Data Engineer is responsible for designing, constructing, and maintaining scalable data pipelines and architectures for large datasets. They collaborate with cross-functional teams to integrate data sources, ensure data quality, and implement data governance strategies.

What they look for

Data Engineering ETL Data Warehousing Python Java Scala SQL AWS Azure Google Cloud Oracle SQL Server PostgreSQL MySQL NoSQL Data Modeling

Requirements

Candidates must hold an undergraduate degree in a relevant field and possess at least 4 years of experience in data engineering and ETL processes. Proficiency in programming languages like Python, Java, or Scala, along with SQL and database management, is required.

Full description

Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative and reliable IT and engineering solutions to the Federal Government. BTI supports mission-critical programs across defense and civilian agencies, with core expertise in cybersecurity, program management, enterprise IT, and technical oversight services.

Roles and Responsibilities As a Data Engineer, the primary responsibility is to design, construct, and maintain scalable data pipelines and architectures to facilitate the collection, storage, and processing of large datasets. This role involves working closely with data scientists and analysts to provide accessible and reliable data for analytics and reporting.

Data Engineers are tasked with integrating and transforming data from various sources, ensuring data quality, and optimizing database performance.

Additionally, they must stay current with industry trends and technologies to continuously improve data processes and systems.

Collaboration with cross-functional teams to understand data needs and implement data governance strategies is also a crucial aspect of the role.Experience/Qualifications:

  • Undergraduate college degree from an accredited college or university in computer science, statistics, mathematics, or other discipline related to the requirements of this project, or equivalent experience.
  • At least 4 years of experience in data engineering, ETL (Extract, Transform, Load) processes, and data warehousing solutions.
  • Strong proficiency in programming languages such as Python, Java, or Scala, as well as SQL for querying databases.
  • Familiarity with technologies (e.g., AWS, Azure, Google Cloud).
  • Experience with databases (e.g., Oracle, SQL Server, PostgreSQL, MySQL, NoSQL databases) and data modeling techniques.
  • Knowledge of data privacy and security standards, along with experience in data governance practices.

Ability to work collaboratively in a fast-paced team environment and communicate effectively with technical and non-technical stakeholders

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