Overview
Join our innovative team as a Junior Data Engineer and become a vital contributor to our data-driven initiatives! In this energetic role, you will support the development, maintenance, and optimization of our data infrastructure, enabling insightful analysis and strategic decision-making. You’ll work with cutting-edge technologies to build scalable data pipelines, manage large datasets, and collaborate across teams to turn complex data into actionable insights. This position offers a fantastic opportunity for aspiring data professionals eager to grow their skills in a dynamic environment.
Responsibilities
- Assist in designing, developing, and maintaining data pipelines using ETL (Extract, Transform, Load) processes to ensure seamless data flow across systems.
- Support the integration of diverse data sources including cloud platforms like AWS and Azure Data Lake, as well as on-premises databases such as Microsoft SQL Server and Oracle.
- Collaborate with senior engineers to implement data models and optimize database design for efficiency and scalability.
- Write and maintain SQL queries, Python scripts, Bash (Unix shell), and Shell Scripting to automate data workflows and perform analysis tasks.
- Contribute to the development of dashboards and reports using Looker or similar analytics tools to visualize key metrics.
- Assist in managing big data technologies such as Hadoop, Apache Hive, Spark, and Informatica for processing large datasets.
- Support model training activities by preparing datasets and performing preliminary analysis to inform machine learning projects.
- Participate in Agile development cycles, including sprint planning, stand-ups, and retrospectives to ensure continuous delivery of high-quality solutions.
Experience
- Basic understanding of cloud platforms such as AWS or Azure Data Lake is preferred.
- Familiarity with programming languages like Java and Python for data manipulation and automation tasks.
- Knowledge of big data frameworks including Hadoop, Spark, and Apache Hive is advantageous.
- Experience working with relational databases such as Microsoft SQL Server or Oracle; knowledge of database design principles is a plus.
- Exposure to ETL tools like Talend or Informatica for data integration projects.
- Understanding of RESTful APIs for integrating external services into data workflows.
- Strong analysis skills with the ability to interpret complex datasets and communicate findings clearly.
- Familiarity with analytics tools like Looker or similar platforms for creating visualizations.
- Experience working in an Agile environment enhances collaboration and project delivery efficiency. Embark on your journey as a Junior Data Engineer with us—where innovation meets opportunity! We’re committed to fostering your growth through hands-on experience with industry-leading tools and technologies while supporting your professional development every step of the way.
Pay: $40.00 - $50.00 per hour
Benefits:
Work Location: Hybrid remote in Herndon, VA 20192
