Location
Fairfax, VA | United States
Job description
Senior Data Engineer
Position Description
Become part of a team to help a large government agency support transformative biomedical and health breakthroughs. CGI Federal is seeking a Data Engineer to support advanced research projects that will provide healthcare solutions for all.
***This is a hybrid role requiring 2 days onsite/week in Fairfax, VA or Baltimore, MD***
Your future duties and responsibilities
• Develop and maintain data pipelines for integrating biomedical datasets securely, adhering to privacy-preserving methodologies
• Interprets data, analyzes results using statistical techniques, and provides ongoing reports.
• Collaborate with the ML Ops Engineer on smooth flow of data for training and deployment of privacy-focused ML models.
• Executes quantitative analyses that translate data into actionable insights.
• Optimize data storage and retrieval processes for efficiency.
• Provides analytical and data-driven decision-making support for key projects.
• Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
• Creates data collection frameworks for structured and unstructured data.
• Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
• Applies and implements best practices for data auditing, scalability, reliability and application performance.
• Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards, guidelines, conventions, and procedures; planning data classes and sub-classes, indexes, directories, repositories, messages, sharing, replication, back-up, retention, and recovery.
Required qualifications to be successful in this role
• Bachelor’s degree in computer science, Engineering, Physics, Mathematics or a related technical or scientific field with a minimum of 8 years of experience in data management.
• Proficiency in languages such as Python, SQL, and R is essential. These languages are used for data manipulation, analysis, and scripting.
• Knowledge of how to build and maintain database systems.
• Able to use services on Azure like Azure Data Factor
• Understanding both relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) is valuable.
• Familiarity with ETL tools and processes is crucial for data integration and transformation.
o Examples include Apache NiFi, Talend, and Informatica.
o Familiarity with tools like Tableau, Power BI, or Matplotlib.
o Apache Hadoop and Apache Spark: Distributed computing frameworks for big data processing.
• Knowledge of big data technologies like Hadoop, Spark, and Kafka is essential for handling large-scale data processing.
• Understanding data warehousing concepts and tools (e.g., Amazon Redshift, Google BigQuery) is important.
• Possesses a foundational understanding of machine learning principles, algorithms, and statistical concepts is beneficial.
• Use Python for data manipulation, scripting, and building data pipelines.
• Ability to query and manage relational databases using SQL
• Requires strong organizational and communication skills, written and verbal, with the ability to work well with cross-functional teams and troubleshoot issues and optimize data workflows.
Nice to Have:
• Emerging Technologies (e.g. Blockchain, Zero trust)
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to: skill set level; experience and training; and licensure and certifications. CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,500 - $160,200.
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