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Position Description: The Solutions Architect/Data Engineer will implement complex systems to meet the current and future needs of a federal agency in Washington, DC. Works closely with stakeholders to ensure IT systems are efficient, secure and compliant with industry standards. The identified candidate will also perform engineering work associated with the design, development, maintenance, and testing of infrastructures for data generation as well as optimizing data flow and collection for cross functional teams. Position Duties: Provides enterprise-level technical design and support to leadership to align IT systems and data solutions with organizational goals. Develops and maintains scalable, secure, and integrated system architectures across cloud and on-premises platforms. Bridges business needs and technology capabilities to guide complex solution development and implementation. Leverages expertise in SQL, Python, ETL automation, data pipelines, and cloud platforms (AWS, Azure). Apply best practices in system integration, data governance, cybersecurity, and enterprise frameworks (e.g., TOGAF, Zachman). Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets, both structured and unstructured. Proficient in building infrastructure pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Qualifications: Requires a BA/BS degree in a related discipline and at least 8 years of experience in solution architecture/data engineering. Strong experience in Kubernetes orchestration for scalable deployment environments. Expertise in software development, preferably using Python. Knowledge of machine learning model deployment practices. Familiarity with ML orchestration tools (e.g., Kubeflow, MLflow, Airflow, SageMaker, or similar). Experience with infrastructure-as-code using Terraform, and OpenTofu. Proficiency with GitLab for source control, CI/CD, and DevOps workflows. Hands-on experience with Ansible for configuration management and automated provisioning. Experience with Databricks for large-scale data engineering, ML workflows, and collaborative analytics. Certificate in Kubernetes administration and/or machine learning certification, a plus. Additional Requirements: This position requires an existing Public Trust or the ability to obtain one. This position is 100% remote. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. The likely salary range for this position is $136,000 - $184,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Compétences linguistiques
- English
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