Engineering Vs Engineering Technology Reddit Jobs in Usa
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Translate complex data systems into clear architecture diagrams and documentation.
Contribute directly to implementation.
Responsibilities: Design and implement secure, scalable cloud-based data pipelines, data lakes, and data warehouses.
Evaluate, select, and integrate cloud data services including storage, databases, and analytics tools.
Develop and maintain cloud data architecture strategies aligned with business and technical goals.
Create clear data flow diagrams, system architecture diagrams, and entity-relationship diagrams.
Document data architecture designs, technical decisions, and system processes.
Maintain architecture documentation to support development and operational teams.
Participate directly in the implementation of cloud data solutions and data pipelines.
Identify and implement performance optimization strategies for cloud-based data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Requirements: Bachelor’s Degree in Computer Science Engineering (Mandatory).
Minimum 5 years of hands-on experience in data engineering using distributed computing frameworks such as Spark, MapReduce, or Databricks.
Proven experience designing and implementing Azure-based cloud data solutions.
Required Skills: Strong knowledge of data modeling techniques and best practices.
Proficiency with relational and non-relational database systems.
Strong experience creating architecture diagrams using tools such as Visio, Lucidchart, or similar visualization tools.
Preferred Skills: Advanced experience with Azure data services such as Databricks and Azure Data Lake.
Expertise in big data technologies including Hadoop and Spark.
Knowledge of data governance, security frameworks, and compliance practices.
Experience with Python and SQL scripting.
Assignment Hours (example
- 8am-5pm): No strict arrival and departure/log-on log-off times, but 8 hour days with the expectation that they can be flexible to attend meetings or perform urgent tasks if need may be.
Non negotiable Skills/experience: Strong financial operations background (billing, reconciliations, etc.), Proficiency with Excel, Experience supporting finance process workflows, Strong attention to detail and ability to work in a fast-paced environment/support many sites with strong communication skills.
We are seeking a detail-oriented Engineering Support Coordinator to support day-to-day administrative and financial operations.
This role will manage purchase order (PO) follow-up, vendor payments, cross-functional correspondence, financial document, and agreement management, and provide hands-on support for budgeting and capitalization processes.
Responsibilities will also include a variety of administrative tasksnot just financial duties such as expenses and travel coordination, but any additional operational support needed to keep processes running smoothly.
This position will also assist Engineering Support Specialists by providing timely administrative, financial, and coordination support as needed.
The ideal candidate is highly organized, proactive, and comfortable working across multiple teams, systems, and stakeholders.
They will work closely with our AP and Procurement teams.
Other information: Bachelor's degree in healthcare administration, business administration, or related field is required.
5
- 7 years of progressively responsible leadership experience; Clinical Engineering leadership experience is preferred but not required.
This job will be authorized 80.00 hours bi-weekly.5c143e31-5e48-4549-b638-05792d185386
Other information: Bachelor's degree in healthcare administration, business administration, or related field is required.
5
- 7 years of progressively responsible leadership experience; Clinical Engineering leadership experience is preferred but not required.
This job will be authorized 80.00 hours bi-weekly.
With a passion for life
Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.
Are you looking for an inspiring career? You just found it.
Job Responsibilities and Essential Duties
- Lead and govern design-related CAPA activities across the R&D organization, ensuring timely, compliant, and effective resolution of complex design, verification, validation, and product performance issues.
- Oversee and review root cause investigations using rigorous, data-driven problem-solving methodologies, and ensure corrective and preventive actions are appropriately scoped, risk-based, sustainable, and effectively linked to design controls, risk management, and product lifecycle processes.
- Ensure CAPA records and documentation are complete, accurate, and audit-ready, in compliance with FDA regulations, ISO 13485, and internal quality system requirements.
- Manage and develop the R&D CAPA team, including setting expectations, prioritizing
- workload, providing technical direction, and coaching CAPA specialists and engineers.
- Provide technical guidance, coaching, and mentorship to R&D engineers and CAPA owners on CAPA processes, best practices, timeline development, SOP adherence, and effectiveness verification planning.
- Serve as the primary R&D CAPA interface with Quality, Regulatory Affairs, Operations, and other cross-functional partners to address systemic and cross-product issues.
- Review and approve CAPA plans, timelines, effectiveness verification strategies, and closure rationales to ensure regulatory robustness and high-quality outcomes.
- Support internal and external audits, inspections, and assessments by providing CAPA documentation (e.g., CAPA storyboards), investigation rationale, and subject matter expertise.
- Act as a CAPA subject matter expert within the R&D organization, driving continuous improvement in CAPA execution quality and consistency.
Minimum Requirements
- Bachelor's degree in Engineering or related technical field; advanced degree preferred.
- 6+ years of experience in R&D within a medical device organization with at least 5 years of CAPA processes and regulatory compliance requirements (FDA, ISO 13485).
- 2+ years of leadership experience managing engineering teams.
- Proven experience in managing CAPA for design and development activities
Required Knowledge, Skills and Abilities
- Expert-level understanding of CAPA methodologies, root cause analysis tools (Fishbone, 5 Whys, FMEA), and risk management.
- Strong leadership and team management skills with ability to influence and drive accountability.
- Excellent analytical and problem-solving abilities with attention to detail.
- Effective communication and presentation skills for all organizational levels.
- Experience with drafting statistically sound sampling plans & acceptance criteria for measuring Effectiveness of implemented actions.
- Proficiency in documentation and electronic CAPA systems, Trackwise preferred.
- Deep knowledge of medical device regulations and design control requirements.
Salary range: $145k - $175k
#LI-LG1
About us
With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.
Benefits at Getinge:
At Getinge, we offer a comprehensive benefits package, which includes:
- Health, Dental, and Vision insurance benefits
- 401k plan with company match
- Paid Time Off
- Wellness initiative & Health Assistance Resources
- Life Insurance
- Short and Long Term Disability Benefits
- Health and Dependent Care Flexible Spending Accounts
- Commuter Benefits
- Parental and Caregiver Leave
- Tuition Reimbursement
Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law.Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.
Duration: 11+ months (9/22/2025 - 9/14/2026)
Location: Boise, ID 83702 (Onsite)
Note: This role is intended to be contract to hire.
Responsibilities:
We're looking for a design/construction-focused Instrumentation / Fire Alarm Engineer who is excited about working on projects that enable the heart of our clients' business. Join us and you'll have the chance to work on projects including state-of-the-art industrial and commercial facilities.
- Design/construction-focused Instrumentation / Fire Alarm Engineer working on projects that enable the heart of our clients' business, including state-of-the-art industrial and commercial facilities.
- Accountable for schedule and technical quality of challenging engineering tasks while gaining familiarity with the client's expectations, scope, budget, and schedule.
- Provide on-site assistance during startup, coordinate work activities with other staff members and the discipline lead.
- Produce designs for electrical circuits and panels utilizing control applications.
- Design control systems for a variety of processes and develop options/optimizations for all aspects of process control, instrumentation, and automation.
Qualifications:
- Bachelor's degree from an ABET-accredited program in Electrical, Fire Protection, Chemical, or Mechanical Engineering.
- Engineer in Training (EIT) certification.
- At least 4 years of experience working with Instrumentation & Controls (I&C) / Life Safety Systems (LSS).
- Ability to generate complete I&C/LSS design packages (e.g. P&IDs, I/O lists, wiring diagrams, control narratives, etc.) with minimal supervision/oversight.
- Working knowledge of PLC, DCS, and other controls applications.
- Working knowledge of Fire Alarm and Life Safety System regulations/requirements.
Ideally, you'll also have:
- Professional Engineer (PE) license.
- Fire Alarm System NICET Certification.
- Experience related to semiconductor fabrication facilities.
- Experience reviewing vendor submittal packages against client requirements and specifications.
- Field experience interacting with subcontractors and construction personnel.
- Working knowledge of AutoCAD and Navisworks software.
- Working knowledge of UL 508A for industrial control panel design.
- Working knowledge of NFPA 72 for fire alarm and signaling code.
- Familiarity with Siemens PLC systems.
- Familiarity with Edwards EST3 and EST4 Fire Alarm Control Systems.
- Strong verbal and written communication skills.
- Strong analytical and problem-solving skills.
- Forward thinking, eager to learn best practices, and contribute with innovative ideas.
- Displayed ability to learn quickly and driven to broaden knowledge base.
- Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teamsPassion for buildings and construction.
Other Requirements:
- This is an on-site position requiring work to be performed on the client site in Boise, ID.
- Candidate must be willing to commute to the site Monday-Friday during normal business hours - nominally 8:00 am to 5:00 pm with some flexibility based on ability of site to support and employee preference.
- Relocation assistance may be provided for qualified candidate.
Physical Requirements:
- Position requires field visits and walks at an active client site in various stages of construction.
- Applicant must be able to walk long distances, sit and stand for extended periods, bend, stoop, twist, crawl, climb ladders, work on catwalks, work in small spaces, lift and carry up to 25lbs.
Work Authorization:
- Applicant must complete background check, drug screen and be fully authorized to work for any client in the United States. Client will not sponsor or continue a visa for this position.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Summary
The people and technology that power our Group business work in the Employee Benefit Solutions Technology (EBST) organization within Enterprise Technology. As a member of the Partner Data Exchange (PDX) team, you will help design, build, and support systems that enable how Securian exchanges critical employee and client data with internal platforms, external partners, and administrators.
PDX plays a key role in the end to end client experience by ensuring that eligibility, enrollment, and coverage data is accurate, timely, and reliable. The systems supported by this team directly influence how easily clients onboard, how effectively partners integrate, and how confidently downstream teams can serve our Employee Benefits Solutions (EBS) customers.
This role is well suited for an engineer who is eager to grow technical skills, learn complex domains, and contribute to high impact systems in a collaborative, agile environment.
Key Responsibilities
- Contribute to the development and support of systems that ingest, validate, transform, and distribute client and employee data
- Learn and apply best practices for building and consuming RESTbased APIs that support internal platforms and external partners
- Support both filebased and APIdriven data exchange solutions, with guidance from senior engineers
- Develop an understanding of how data quality, timeliness, and system behavior impact the client and administrator experience
- Assist with enhancements and defect resolution in existing systems, including batch processing and integrations
- Participate in production support activities and incident triage, using monitoring tools such as Dynatrace and Splunk
- Collaborate with product owners, analysts, and other engineers to deliver incremental improvements aligned to business priorities
- Follow established engineering standards for code quality, testing, security, and deployment
Required Qualifications
- Experience developing software using Java and familiarity with Spring Boot or similar frameworks
- Basic understanding of RESTful APIs and web services
- Exposure to batch processing, integrations, or applications that ingest and process large volumes of operational data
- Familiarity with Git/GitHub and modern development workflows
- Willingness to learn and work within a complex domain involving customer and employee data
- Ability to troubleshoot issues, ask questions, and incorporate feedback through code reviews and collaboration
- Strong written and verbal communication skills
- Demonstrates accountability, curiosity, and a desire to grow technical skills
Preferred Qualifications
- Exposure to relational databases such as SQL Server
- Familiarity with cloud platforms (AWS preferred)
- Familiarity with containerized environments (Kubernetes preferred)
- Interest in learning about API design, data validation, and secure data exchange
- Experience using IntelliJ or similar IDEs
- Exposure to Agile/Scrum development practices
- Experience supporting or maintaining production systems
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$55,700.00 - $103,400.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
To view our privacy statement click here
To view our legal statement click here
Director - Data Center Engineering & Consultancy
(candidate must be based and eligible to work in Texas,Unites States)
We are partnering with a globally recognised engineering and infrastructure platform with deep expertise in the design and delivery of mission-critical digital infrastructures.
They are currently seeking a Director of Data Center Engineering & Consultancy to lead design and advisory engagements while supporting the delivery of complex data center projects across international markets, with a strong focus on the US.
The role combines technical leadership with commercial involvement, including advising clients on data centre design and best practices, leading multidisciplinary project teams, and supporting business development through proposals, RFP responses, and client engagement.
You’ll be joining a business known for its deep engineering expertise and hands-on approach to delivering resilient, high-performance digital infrastructure.
Interested? Drop me a message or send your CV to
