This is a contract position.
It is a hybrid role with 2 days a week in the office in Vienna, VA.
What will you do in this role?
- Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage.
- Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability.
- Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking.
- Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
- Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services.
- Format data from APIs into SQL servers.
- Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives.
- Design and build data pipelines for data collection, connection, and storage.
- Develop and enforce data engineering policies and best practices to ensure data integrity.
- Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing.
- Ensure data quality and performance at scale.
- Ensure high performance and scalability of data systems and processes.
- Help with the collection, connection, and storage of data.
- Optimize existing data workflows and ensure system reliability.
What skills should you have for this position?
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 3-5 years of experience in data engineering and governance.
- Advanced knowledge of SQL language.
- Advanced understanding of API frameworks and JSON transformations.
- Working experience with data warehousing solutions, ETL tools, and data system design.
- Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
- Basic understanding of business and operating environment.
- Knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
- Experience with data management, processing and analytic tools (Databricks).
- Experience with data integration and processing tools.
