Build and maintain dashboards and tools that provide high‑level visibility into planning and logistics, including statuses, locations, lanes, and critical updates.
Compensation
The annual salary range for this position is $68,000.00-$113,000.00.
Responsibilities
Build and maintain dashboards and tools for planning and logistics
Create, refine, and publish geospatial StoryMaps and distribution plans inside Palantir Maven Smart Systems
Collaborate with cross‑functional teams across logistics, sustainment, operations, and knowledge management
Support development of applications that digitize manual processes
Write code to build custom functions in Python, Typescript, and other scripting languages
Senior technical resource for on-floor troubleshooting and root cause analysis of automated equipment and process control systems in a GMP pharmaceutical manufacturing environment.
Compensation
Tha annualized salary range for this position is between $122,600 – $165,100.
Responsibilities
Serve as a senior technical resource for on-floor, in-person troubleshooting and root cause analysis of automated equipment, PLC/HMI/SCADA systems, field instrumentation, and industrial network infrastructure
Partner closely with manufacturing, maintenance, engineering, validation, and quality teams to improve equipment reliability, reduce downtime, and resolve recurring automation issues
Lead or support automation investigations associated with deviations, CAPAs, audit observations, and nonconformances
Lead or support automation projects for new equipment, system expansions, and process improvements
Drive improvements to automated process control systems to enhance process capability, operator effectiveness, data integrity, and production performance
Requirements
B.S. degree in Engineering, Automation, Electrical Engineering, Chemical Engineering, Mechanical Engineering, Computer Science, or a related technical field
Nice to have: validation and computerized system lifecycle practices in a GMP pharmaceutical or biotech environment
Lead manual penetration tests across network, web/API, cloud, wireless, thick client, and enterprise environments; execute objective-based red team and adversary simulation engagements; develop custom proof-of-concept exploits, scripts, and tradecraft; produce clear reports; contribute to methodology, tooling, lab work, research, and deliverables; participate in project kickoff and report delivery meetings; mentor by example; support clients through remediation.
Locations (2)
Schaumburg, Illinois, United States
United States
Compensation
Compenstation market rate $70/hr hour plus
Responsibilities
Lead manual penetration tests across network, web/API, cloud, wireless, thick client, and enterprise environments
Execute objective-based red team and adversary simulation engagements when in scope
Develop custom proof-of-concept exploits, scripts, and tradecraft when existing tools are not enough
Produce clear reports with attack narratives, evidence, business impact, and prioritized remediation guidance
Contribute to methodology, tooling, lab work, research, and deliverables
Job Title : Sr. Data Migration Engineer
Location: San Jose, CA (100% Onsite)
Duration: 6 Months
Salary Range: $55.00 - $58.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.
Job description:
Preference: Local candidates preferred
Job Title: Sr. Data Migration Engineer
Experience Required
10+ years of experience in data migration, data engineering, or related roles.
7+ years in Data Concepts & Data Modelling.
Job Description
Strong experience with ETL tools and scripting languages.
Strong knowledge of Salesforce and related data structures.
Knowledge of data modeling, databases, SQL, and SOQL.
Experience with data mapping, transformation, and validation techniques.
Strong analytical and problem-solving skills.
Excellent attention to detail and commitment to data quality.
Effective communication and collaboration skills.
Experience with large-scale enterprise data migration projects.
Understanding of API-based data exchange and integration.
Knowledge of data privacy regulations (e.g., GDPR, HIPAA).
Certification in relevant ETL or cloud technologies is a plus.
Required Skills
Data Concepts & Data Modelling
Oracle SQL
Digital: Salesforce Einstein Analytics
Analytical Ability
Ab Initio
Application Migration