Job Description
Job Description
Onsite at Scott AFB
US Citizenship is Required
Salary is 100K to 130k, depending on years of experience.
Seeking a skilled and highly motivated Databricks Engineer to join an exciting and growing team within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
Responsibilities
- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
- Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
- Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
- Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
- Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
- Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
- Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
- Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
- Maintain documentation for software applications, workflows, and processes.
- Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
Requirements
- Secret clearance is preferred
- Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
- High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, JavaScript/JSON, SQL, and Jupyter Notebooks. Scala is preferred.
- Strong problem-solving skills and ability to solve complex data-related issues.
- Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
- Understanding of data modeling/visualization, database design principles, and data governance practices.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Detail-oriented mindset with a commitment to delivering high-quality results.