Data Engineer

BTI; Washington (District of Columbia); On-site; USD 110,000 - 160,000; Full time

Job summary

Business Technology Integrators (BTI) seeks a Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting the collection, storage, and processing of large datasets. You will collaborate with data scientists and analysts to provide reliable, accessible data for analytics and reporting.

Role emphasizes data integration, transformation, quality, and governance, with a focus on staying current with industry trends to continuously improve data processes.

Qualifications

• Bachelor's degree or equivalent experience in CS, statistics, mathematics, or related field.
• At least 4 years in data engineering, ETL, and data warehousing.
• Strong programming in Python, Java, or Scala, plus SQL.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with databases (Oracle, SQL Server, PostgreSQL, MySQL, NoSQL) and data modeling.
• Knowledge of data privacy and security standards and data governance.

Responsibilities

• Design, construct, and maintain scalable data pipelines and architectures.
• Collaborate with data scientists and analysts for accessible data.
• Integrate and transform data from multiple sources; ensure quality.
• Maintain database performance and optimize data processes.
• Stay current with industry trends to improve systems.
• Work with cross-functional teams to implement data governance.

Skills

ETL pipelines

Data governance

Communication

Team collaboration

Education

Bachelor's degree in CS/Statistics/Math or related field

Equivalent work experience

Tools

AWS

Azure

Google Cloud

SQL

NoSQL

Data modeling

Job 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