Senior IT Data Engineer

Bryant Technologies; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Job summary

Bryant Technologies is seeking a skilled data professional in Washington, DC, for a role involving data acquisition and pipeline development. The ideal candidate will have over 5 years of experience with Python and Apache NiFi, focusing on the management and enhancement of data assets. Responsibilities include developing robust data pipelines, ensuring data quality, and implementing CI/CD practices. This position requires US citizenship and offers a dynamic work environment on-site 5 days a week.

Qualifications

• 5+ years of experience in application/data development with Python.
• 5+ years of experience with data integration and ingestion tools.
• Proficiency in creating and maintaining data ingestion pipelines.

Responsibilities

• Facilitate obtaining data from various sources in correct formats.
• Build robust data pipelines that clean and transform data.
• Develop and manage long-term operations of data processing systems.

Skills

Proficiency in Python

Expertise in Apache NiFi

Advanced knowledge of SQL

Proficiency in PySpark

Experience with Hadoop

Job description

Contract Performance Period: April 30, 2026 - December 31, 2026
Job Location: Washington, DC location(s) (Metro Access) On-Site 5 days/week.
Direct Hire: Term: through 31/12/2026, with a strong possibility of extension
Pay Range: Depending on Experience
Travel Requirements: Washington, DC location(s) (Metro Access) On-Site 5 days/week.
Working Remotely:

Project Description

This role involves participating in the planning and execution of policies, practices, and projects designed to acquire, control, protect, and enhance the value of organisational data assets.

Qualification Requirements

• General Experience: 5+ years of experience in application/data development, specifically with Python.
• Specialized Experience: 5+ years of experience with data integration and ingestion tools, such as Apache NiFi.
• Methodology: Experience working with Scrum and Kanban methodologies.
• Platform Experience: Proficiency in the long-term operations of data pipelines or processing systems running in the Cloudera Data Platform.
• US Citizenship is a requirement for this position.

Skills Requirements

• Data Processing & Engineering: Proficiency in PySpark, pandas, or dbt.
• Data Ingestion: Expertise in Apache NiFi.
• Languages & Databases: Advanced knowledge of SQL, Java, and Microsoft SQL Server.
• Distributed Computing: Experience with platforms including Hadoop, MapReduce, Hive, HBase, Kafka, and Spark.
• DevOps & Tools: Understanding of git and DevOps-enabled technologies.
• Systems: Proficiency in UNIX/Linux, including basic commands and shell scripting.
• Technical Operations: Knowledge of data extraction, transformation, loading (ETL), and performance tuning.

Responsibilities

• Data Acquisition: Facilitate obtaining data from a variety of sources in correct formats while adhering to quality standards.
• Pipeline Development: Build robust data pipelines that clean, transform, and aggregate unorganized data into databases.
• Platform Operations: Develop, maintain, monitor, and manage the long-term operations of data pipelines or processing systems within the Cloudera Data Platform.
• Issue Resolution: Resolve information flow and content issues as they arise.
• CI/CD Implementation: Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines and manage data platforms.
• Strategic Planning: Participate in the planning of practices and projects to enhance data asset value.

Job ID: 1532