10 hours ago
Baltimore, MD, USAMid Level
H1B sponsor
Base Salary
$120k - $125k/yr
Responsibilities
- Design and implement cloud-based data architectures and integrate applications with cloud data services.
- Optimize cloud data storage, retrieval, processing, performance, and scalability.
- Develop data models and schemas supporting business requirements, data integrity, governance, and security.
- Maintain legacy applications and research migration or recreation strategies for cloud environments.
- Integrate scientific equipment and hardware into IT infrastructure and support high-compute data workloads.
- Lead adoption of cloud technologies and best practices while providing technical guidance and mentorship.
- Conduct code reviews, maintain technical documentation, and ensure coding standards are followed.
- Use AI and machine learning techniques to enhance clinical research applications and workflows.
- Collaborate with developers, data engineers, data scientists, researchers, and senior management to translate requirements into technical solutions.
Requirements
- Bachelor’s degree and at least 2 years of experience in application development, data architecture, and cloud computing, or a high school diploma and at least 8 years of relevant experience.
- Experience with AWS, Azure, or Google Cloud.
- Experience integrating scientific equipment, handling high-compute data, and implementing data integration, ETL, and data warehousing solutions.
- Experience with data modeling, data governance, data security, and SQL and NoSQL databases.
- Proficiency in multiple programming languages such as Java, C#, and Python.
- Proficiency in front-end technologies including HTML, CSS, and JavaScript, and back-end technologies including PHP and MySQL.
- Experience with Git and continuous integration/continuous deployment pipelines.
- Working knowledge of AI and machine learning applications in clinical research.
- Ability to obtain a Public Trust clearance.
- Strong problem-solving, communication, independent-work, and cross-functional collaboration skills.
- Preferred qualifications include an advanced degree, scientific or clinical research experience, cloud certifications such as AWS Certified Solutions Architect, familiarity with DevOps practices and tools, and big data experience.
Benefits
- Personal time off, medical, dental, vision, supplemental life with AD&D, disability coverage, and flexible spending accounts.
- 401(k) retirement plan with matching contributions.
- Career development training, e-learning, professional and technical certification preparation, and education assistance at accredited institutions.
- The role offers a basic compensation range of $120,000 to $125,000 yearly salary.
Categories
BackendData Engineering
About DLH
DLH is a public company on NASDAQ that delivers technology and professional services to U.S. federal health and national security programs. It provides health IT, telehealth, AI/ML and data analytics, cloud enablement, cybersecurity, and systems engineering, along with research and clinical trials support. Founded in 1969 and headquartered in Atlanta, it serves civilian and military agencies through long-term government contracts and task orders.