Data Engineer: Build Scalable Pipelines & Analytics

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) 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.