Sr. IT Data Engineer

Title: Senior IT Data Engineer - Onsite Mandatory skills: application development, data development, Python, data integration, ingestion tools, Apache NiFi, SQL, Java, Microsoft SQL Server, distributed data, computing platforms, Hadoop, MapReduce, Hive, HBase, Kafka, Spark, Scrum, Kanban methodologies, UNIX, Linux, basic commands, shell scripting, continuous integration continuous delivery, CI/CD pipelines, data platform management, data quality, data pipeline, Cloudera Data Platform, processing

Senior IT Data Engineer (Onsite Washington, DC) We are seeking an experienced Senior IT Data Engineer to support a high-impact, long-term project based in Washington, DC. This role requires a strong background in data engineering, data pipeline development, and working with large-scale distributed data systems. This is an onsite position and ideal for candidates who are local to the DC area. Position Overview The Senior IT Data Engineer will play a key role in designing, building, and main

Title: Data Engineer Location: Washington, DC (Remote) Duration: 6 18 Months Contract Responsibilities: Build and scale data pipelines in production environments using a modern data stack. Carry out complex analysis utilizing PostgreSQL. Implement data modeling best practices to support analytics and reporting needs. Design technical architecture and infrastructure components. Create automated data and code quality checks. Implement and enforce data governance policies and best practices

Job Description: Ability to easily move between business, data management, and technical teams; ability to quickly understand the business use case and identify technical solutions to enable it Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Sqoop), SQL to build Big Data products & platforms Experience in building and deploying production-level d