Engineering Structures Elsevier Jobs in Waltham Remote

Job Title : Engineering, Design, R&D - Quality Engineer

Location : Burlington, MA 01803

Duration : 06 Months

Job Description:

The Quality Engineer / Test Engineer supports product validation.

Update and create test protocols for new features.

Analyze test data using statistical methods in Excel and/or JMP and report on results in both Confluence and Jira.

Evaluate existing test methods and procedures to determine how they might be improved.

Complete documentation needed to support testing execution, including data capture forms and digital requests.

Compile reports on testing status across multiple programs to report to leadership, leveraging Jira data.

Review test plans and identify gaps as well as collaborate with multiple teams to confirm test completion.

The Role

As Senior Project Engineer, you will work alongside senior project managers serving as owner's representative on behalf of a confidential defense tech client. You will be a critical part of the project delivery team, supporting the day-to-day execution of complex construction projects from the owner's side. This is a hands-on, high-visibility role with real exposure to executive-level clients and mission-critical work.

What You'll Own

• Support senior PMs in managing proposals, drafting meeting minutes, contract creation, and client reporting documents
• Assist in the creation and ongoing updates of project budgets and schedules
• Manage document control, change order processing, monthly invoicing, TI allowance reimbursement, and project closeout in coordination with project managers
• Day-to-day involvement across multiple concurrent, complex construction projects
• Interface directly with PMs, clients, and brokers on evolving project requirements

What We're Looking For

• 1-4 years of experience in the construction industry, preferably as a Project Engineer or Senior Project Engineer
• Experience with tenant improvement projects required
• Hands-on experience with invoice processing, schedule and budget creation and updates, and meeting minutes required
• A strong tendency toward leadership and a solid understanding of the design, permitting, bidding, construction, and closeout process
• Highly proficient in Bluebeam, Microsoft Excel, Microsoft Word, and Microsoft Project
• Sharp communicator, written and verbal, comfortable interfacing with senior stakeholders
• Self-directed and deadline-driven, with the ability to juggle multiple tasks and adapt quickly to shifting priorities

Compensation & Details

• Competitive base salary commensurate with experience ranging from $80,000-$110,000
• Competitive benefits package and long-term career growth
• Combination of in-office and onsite project work
• Travel as required to support client projects
• Bachelor's degree required, preferably in Construction Management, Engineering, or Architecture

What We Do:

SMK Services, Inc. (SMK) is a Construction Management and Engineering services consultancy based in Belmont, Massachusetts. Our clients include public agencies, professional engineering firms, general contractors, and subcontractors. We provide services in Project Management, Construction Build Strategy, Scheduling, Engineering Support, Construction Estimating, Claims Analysis and Field Services.

With a growing client base and an expanding range of services, SMK is seeking a Construction Project Manager to join our team in the Greater Boston Area.

Company Culture:

SMK is an exciting, collaborative, supportive environment where we take pride in the work we do and celebrate our collective success. We cultivate a strong sense of community, one where colleagues’ voices are valued, growth is encouraged, and leadership remains open and accessible. As our firm continues to expand, the successful candidate will help shape and strengthen SMK’s culture alongside us.

Opportunities for Growth:

SMK is a growing business that is continually evolving, creating meaningful opportunities for employees to grow alongside the company and advance their careers. We actively encourage and support colleagues in developing their careers in areas of the business and industry that align with their interests and passions. SMK offers ongoing professional development opportunities to broaden employee knowledge and ensure our team stays current with the latest industry practices and innovations.

Why SMK

SMK is intentionally built as a close-knit, highly collaborative team where people genuinely know, trust, and support one another. Our size allows for real relationships, open communication, and a workplace where individual contributions are visible and valued.

We pride ourselves on creating a warm, engaging, and supportive environment, one where experienced professionals can do their best work without bureaucracy or being lost in the crowd. Leadership is hands-on and accessible, collaboration is the norm, and we care deeply about both the quality of our work and the well-being of our team.

At SMK, you’re not just filling a role, you’re joining a group of professionals who respect each other’s expertise, enjoy working together, and are committed to growing the firm thoughtfully and sustainably.

The Role:

SMK is seeking an experienced Construction Project Manager to coordinate and supervise a diverse portfolio of contracts, primarily in the infrastructure field (highway/bridge or transit). The ideal candidate should have experience in Civil and Structural construction projects as well as having experience in general construction methodologies, disciplines and procedures. 

Ideal Candidate

The ideal candidate is an experienced construction professional with a strong background in civil and structural infrastructure projects who excels in a client-facing, consulting-oriented environment. They possess the ability to clearly visualize construction sequencing and phasing and to lead the development of thoughtful, practical build strategies that balance feasibility, risk, schedule, and cost.

They are comfortable managing project-level internal teams that may include estimators, schedulers, and assistant project managers, providing direction and coordination to ensure project objectives are executed efficiently and consistently. This individual can bring together work from different team members into clear, consistent deliverables.

The ideal candidate brings strong written communication skills and is experienced in independently authoring professional reports, technical memoranda, and narratives. They are equally adept at reviewing and quality-controlling the work of others, ensuring analytical rigor, clarity, and consistency before deliverables are issued to clients.

Highly organized and analytical, this individual can manage multiple projects and priorities while maintaining attention to detail. They communicate clearly and confidently, exercise sound professional judgment, and are comfortable representing SMK in discussions related to constructability, scheduling, cost, and risk.

They value collaboration, mentorship, and continuous improvement and are motivated by contributing to a close-knit, high-performing team. Adaptable and proactive, the ideal candidate is willing to step beyond their core responsibilities when needed to support colleagues, strengthen client relationships, and help grow the firm.

Key Responsibilities:

In this role, you will be responsible for a variety of tasks, including:

• Conducting site visits to enforce project requirements while recording project progress and assisting in the resolution of field issues.
• Preparing and reviewing submittals, RFIs and other official project correspondence.
• Attending and leading project issues, progress and change order negotiation meetings.
• Performing reviews of design documents for: (1) Compliance with project requirements; (2) Interdisciplinary coordination; (3) Analysis of conceptual feasibility and review for fatal flaws.
• Reviewing design plans and specifications to: (1) Propose means and methods build strategies with phasing and sequencing in report format; (2) Evaluate constructability, risk, delay, and cost overrun mitigation.
• Ability to develop and manage the development of: (1) Construction cost estimates; (2) Claim reviews and performing change order analysis; (3) Schedules using Primavera P6 and phasing methodology for construction activities; (4) Reviews on contractor schedule updates, time impact analyses and recovery efforts while proposing solutions to scheduling issues.
• Performing and presenting Risk Assessments and Value Engineering studies.
• Monitoring and tracking SMK project budgets.
• Assisting in the development and preparation of scope and fee proposals to clients.
• Supervising and mentoring entry level project management staff.

Key Attributes:

• Strong, intuitive understanding of construction principles, sequencing, and contractor means and methods.
• Ability to read, understand and interpret design drawings, specifications, and schedules.
• Exceptional written, verbal, and organizational skills.
• Demonstrated proficiency in independently authoring clear, well-structured analytical reports and narratives.
• Ability to think critically and think of solutions to complex problems in a dynamic environment.
• Sound judgment and confidence when engaging directly with clients.
• Ability to manage priorities and handle multiple tasks at once.
• Willingness to assist with other non-project management tasks as needed.

Qualifications:

• A Bachelor’s degree in Construction Management, Engineering, or a related field.
• A minimum of 7+ years of Project Management related experience in the civil heavy construction/transportation field.
• 5+ years experience with concrete placement, earth support systems, deep foundation construction, marine construction, structural steel erection, structural demolition, highway construction, drainage system construction, Interstate Highway traffic controls, environmental protection systems and field survey/layout.
• Required proficiency in Bluebeam and Microsoft Office 365.
• Experience with HCSS, Bid2Win, and/or Estimating Link
• Experience with Primavera P6 or Microsoft Project
• Valid driver’s license and access to a personal vehicle.
• Authorization to work in the United States.

Additional Employment Information:

• Full-time salaried position.
• Annual starting salary of $120,000 to $160,000, dependent on experience.
• Paid Time Off.
• Eleven days of holiday pay.
• Generous retirement plan contribution.
• Paid office parking.
• Cell phone allowance.
• Medical and dental insurance.
• Hybrid work structure with remote and in-office days based on workload, collaboration needs, client meetings, training, and experience level.
• Primary work location is office-based, with occasional site visits throughout New England.

Note to Applicants

This role requires significant experience in Civil (Heavy) Construction field, with Transportation experience preferred. We encourage applicants who closely match the qualifications outlined above to apply. Candidates whose experience does not align with the requirements will not be considered at this time.

Equal Employment Opportunity Statement:

SMK provides equal employment opportunity in employment and advancement for all persons regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran and persons with a disability, at all employment levels, including the executive level. We do not and will not discriminate against any applicant or employee regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran and persons with a disability for any position for which the applicant or employee is qualified. Such affirmative action shall apply to all employment practices, including, but not limited to hiring, upgrading, demotion or transfer, recruitment, recruitment advertising, layoff or termination, rates of pay or other forms of compensation, and selection for training, including apprenticeship and on-the-job training.

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You’ll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like "operationalizing an ethical construct" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.