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Principal Cyber Software Engineer
Key Responsibilities: Utilize GitLab/Jira and DevOps tools to build CI/CD pipelines and automated test tooling Develop and troubleshoot software using Python and address C/C++ build/compile errors Conduct Cyber Security research, including reverse
Senior Data Engineer
reports to drive business behavior Take ownership of projects by collaborating with engineers and stakeholders to design data solutions Required Qualifications Experience across the data stack including ingestion, storage, and analysis Proficiency in Python
Temporary Research Assistant
Informatics, or a related field Knowledge Company Bioinformatics and computational analysis Proficiency in database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint Preferred knowledge Company statistical software packages like SPSS, SAS, R, Python
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Senior Data Engineer
Qualifications Experience across the data stack including ingestion, storage, and analysis Strong interest in data and its business implications Experience with data lake architectures and major cloud providers (AWS, GCP, Azure) Proficiency in Python
Data Analytics Contractor
or Doctoral degree in Statistics, Economics, or related quantitative discipline preferred 2 - 5 years of experience in quantitative Company and analysis preferred Intermediate level user of statistical analysis software, particularly Stata; R and Python
Data Analytics Manager
experience in data roles, with 1-2 years in a management position Strong technical skills in SQL, DBT, and orchestration tools like Airflow Experience with modern data stacks and ELT tools Proficiency in data visualization and BI tools Familiarity with Python
Senior DevOps Engineer
a similar technical role Strong proficiency with MacOS and Windows endpoint management Hands-on experience with MDM solutions and administering GSuite Working knowledge of cloud infrastructure and containers Proficiency in Bash, Powershell, and Python
Senior AI DevOps Specialist
., Python, JavaScript) with familiarity in AI technologies and frameworks
Principal AI Engineer
development and AI engineering, with leadership or mentorship experience preferred Expertise in modern AI technologies including LLM integration and RAG pipelines Hands-on experience with front-end and back-end development, including languages like Python
Research Operations Lead
management skills with experience in managing complex workstreams Proficiency with collaboration tools and knowledge management systems Experience in supporting research teams in academic, nonprofit, or consulting settings Basic coding ability in Python