We are currently seeking a Data Engineer for a full-time, permanent (W2 only) position located on/near Scott Air Force Base in IL. This is a hybrid role that requires working onsite 3 days per week. Candidates MUST HAVE an active secret clearance.

　　As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing 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.

　　Act as a technology liaison to leadership and facilitate, collaborate, and integrate impactful and advanced technical solutions for large-scale mission impacts.

　　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 required.

　　Minimum of 5-10 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, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.

　　Experience leading and managing cross-functional technology team.

　　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.

　　Must available to work onsite at scott air force base 2-3 days per week.

　　Nice to Have:Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.

　　Recent DoD or IC-related experience.

　　Previous experience with Air Force is a plus

　　#M2

　　System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

　　System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.