Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ETL) processes, leading migration of data pipelines from Synapse to Databricks.
Compensation
$50-53/Hour on W2/C2C (All Inclusive)
Responsibilities
Lead migration of data pipelines from Synapse to Databricks
Architect and implement batch + real-time data pipelines using PySpark, Databricks, and Event Hubs
Establish data engineering best practices and mentor junior engineers
Drive CI/CD automation with AzDO and Git
Ensure data quality, governance, and compliance (Collibra)
Requirements
Nice to have: Collibra
Nice to have: Azure/Databricks certifications
Nice to have: Azure functions using Python/Node.js
The Senior Analyst, Laboratory Analytics is a cross-functional internal consultant to the business that will work across several business units, with a primary internal customer group, but will also support other functions, as needed. This role is responsible for completing a wide range of quantitative and qualitative analyses to help inform company strategy and run the business more efficiently and effectively.
Compensation
The base pay for this position is $78,000.00 – $156,000.00
Responsibilities
Build and maintain analysis, models, or dashboards to support process optimization, forecasting, capacity planning, economic optimization, and performance management processes
Analyze company data to identify trends, issues, and opportunities for improvement
Support fact-based decision-making and measurement of operational effectiveness and/or economics of company initiatives
Evaluate the economic and/or operational impact of new products and/or strategies
Effectively compile and communicate findings to leadership or stakeholders verbally, visually, and in writing
Requirements
Bachelor’s degree in Engineering, Math, Physics, Computer Science, or related field
High School Degree/General Education Diploma and 4+ years of relevant experience
Support technical due diligence and transition readiness by using AI-assisted software engineering methods to understand complex codebases, reconstruct dependencies, diagnose builds, accelerate documentation, and improve handover readiness in enterprise cloud and platform environments.
Compensation
Base salary will not be lower than 1850€ /brutto.
Responsibilities
Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence.
Reconstruct the architecture of a cloud software stack derived from OpenStack, including key service boundaries, integration points, APIs, and operational dependencies.
Use AI coding agents and structured prompting patterns to accelerate code understanding, reverse engineering, and documentation generation across large codebases.
Support build-log diagnosis, compile issue triage, and reproducibility analysis across CI/CD pipelines and container-based delivery environments.
Produce structured handover artefacts including architecture summaries, dependency maps, code quality observations, and readiness assessments for receiving engineering teams.
Develop quantum and hybrid classical-quantum algorithms for mission-relevant applications, leading technical workstreams and contributing to publications and patents.
Compensation
The salary range for this position is typically between $185,000 and $215,000.
Responsibilities
Adapt existing quantum algorithm development techniques to mission-specific use cases
Lead technical workstreams
Design, implement, and optimize quantum algorithms for NISQ and FTQC architectures
Mentor junior developers
Contribute to technical publications, patent filings, and proposal efforts
Requirements
PhD or Master's degree in Quantum Physics, Quantum Information Science, Computer Science, Applied Mathematics, or a related technical field
Nice to have: Active Secret or Top Secret security clearance
Nice to have: Experience supporting DoW, Intelligence Community, DOE, AFRL, DARPA, or other federal research organizations
Nice to have: Experience with quantum optimization (QUBOs), QAOA, VQE, or quantum machine learning
Nice to have: Familiarity with high-performance computing (HPC), GPU computing, or hybrid computing architectures
Software engineer responsible for developing cybersecurity software for the US Navy submarine and surface fleet, including software development, integration, testing, and deployment.
Compensation
Combined Salary Range USD $124,216.00 - USD $137,803.00 /Yr.
Responsibilities
Develop new software components in Java, C, C++, and Python
Integrate COTS tools, including open-source products and API-driven integration efforts
Containerize existing applications and deploy them using Docker or Podman
Build multi-tier software solutions, including database design and integration
Perform thorough unit testing of software components
Requirements
Bachelor's degree in Software Engineering or related Science, Technology, Engineering or Mathematics field
Master's degree in Software Engineering or related field
Coordinate and support hydraulic engineering projects for Veolia’s AI-Driven Water Distribution Efficiency Project in the Philippines, acting as the operational link between international experts, local teams, and suppliers.
Locations (2)
Manila, Philippines
Quezon City, NCR, Philippines
Compensation
Remuneration : 2524,43€ net/month (according to the rates of October 2026)
Responsibilities
Coordinate daily technical communication and task alignment between international and local teams
Participate in field interventions and monitor activities
Collect and verify network data and calibrate hydraulic models
Manage the reception and quality control of smart equipment
Coordinate the installation and pilot testing of pressure controllers and smart meters
Requirements
Master’s degree in Hydraulic Engineering
Master’s degree in Civil Engineering
Master’s degree in Water/Environmental Engineering
Senior Quantum Algorithm DeveloperNewTyto Athene, LLC · Reston, US
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