Mid-Level Data Engineer

Mid-Level Data Engineer Alexandria, Virginia On-site Job Description As a Mid-level Data Engineer with Maverc, I play a key role in architecting and delivering high-quality, scalable data solutions that empower the organization’s AI and machine learning initiatives. With deep expertise in building data pipelines, optimizing performance, and ensuring data integrity, I collaborate closely with cross-functional teams, including product owners, data scientists, and software developers, to meet strategic objectives. Support the configuration and ingestion of designated structured, unstructured, and semi-structured data repositories into capabilities that satisfy mission partner requirements. This will support a data analytics and DevOps pipeline to drive rapid delivery of functionality to the client. Maintain all operational aspects of data transfers while accounting for the security posture of the underlying infrastructure and systems. Monitor the health of the environment through a variety of tracking capabilities. Automate configuration management, leverage tools, and stay current on  data extract, transfer, and load (ETL)  technologies and services. Work under general guidance, demonstrate initiative to develop approaches to solutions independently, review architecture, and identify areas for automation, optimization, right-sizing, and cost reduction to support the overall health of the environment. Apply comprehension of data engineering-specific technologies and services. Leverage expertise in databases and a variety of approaches to structuring and retrieving data. Understand cloud architectural constructs and support the establishment and maintenance of cloud environments programmatically using vendor consoles. Engage with multiple functional groups to understand client challenges, prototype new ideas and technologies, help to create solutions, and design, implement, schedule, test, and deploy full features and components of solutions. Maintain an existing collection of web scraping tools used as the initial step in the ETL process. Identify and implement scalable and efficient coding solutions. Requirements Experience with Big Data systems, including  Apache Spark  and  Databricks Experience with  ETL processes Experience with  Amazon Web Services (AWS) ,  Microsoft Azure , or  MilCloud 2.0 Experience applying  DoD Security Technical Implementation Guides (STIGs)  and automating that process Proficiency in multiple  coding languages Education Bachelor’s degree plus 5-7 years of experience, or Master’s degree plus 3 years of experience Benefits

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• At Maverc, we are an inclusive community where diversity in all its forms is embraced, respected, and recognized as a true asset to the company. We are dedicated to fostering this inclusive environment, though we acknowledge that there is always room for improvement. Maverc is committed to evolving into a more inclusive and equitable organization, upholding the principles of equal employment opportunity and affirmative action. Maverc is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on gender, gender identity or expression, sexual orientation, race, age, religion, physical or mental disability, veteran status, or other protected characteristics under federal, state, and local laws.   Powered by JazzHR