administrative assistant contractor (resource management)-remote

data engineer

software engineer

senior data engineer

administrative assistant contractor (resource management)-remote Jobs in New York

ai engineer

backend data engineer mvno telecom azure italian speaking remote 1099 contractor

Rabona

<p>Italian Speaking. Richiesta lingua italiana.</p><p>We are a U.S.-based mobile telecommunications company with Italian ownership. As we expand our footprint in the MVNO (Mobile Virtual Network Operator) sector, we are seeking a skilled Backend / Data Engineer to support the development, integration, and evolution of our telecom data platforms and digital services.</p><p>This role focuses on managing high-volume telecom data (CDR &ndash; Call Detail Records), backend services, and cloud infrastructure on Microsoft Azure. The ideal candidate is comfortable working with data pipelines, API integrations, and distributed systems in a telecom or similar data-intensive environment.</p><p><b>Key Responsibilities:</b></p><ul><li>Manage ingestion, parsing, validation, and processing of telecom data (CDR) received via file-based systems (FTP/SFTP)</li><li>Design, develop, and maintain backend services and REST APIs for internal systems and customer-facing applications (MyArea)</li><li>Integrate telecom platforms, billing systems, and third-party services</li><li>Support and evolve systems hosted on Microsoft Azure, including data pipelines, storage, and processing services</li><li>Design and improve batch data processing pipelines, ensuring scalability, reliability, and data consistency</li><li>Identify and resolve issues such as data inconsistencies, duplicates, delays, and performance bottlenecks</li><li>Communicate technical updates, requirements, and progress in Italian when needed</li></ul><p><b>Requirements:</b></p><ul><li>Native or bilingual proficiency in Italian and professional fluency in English</li><li>Strong experience with backend development (.NET / C#)</li><li>Experience with REST API development and integrations</li><li>Experience with data pipelines and data processing systems</li><li>Experience with Microsoft Azure (or similar cloud platforms)</li><li>Experience working with high-volume data systems</li><li>Experience with file-based ingestion (FTP/SFTP, batch processing)</li><li>Ability to handle real-world data issues (duplicates, missing data, delays)</li><li>Understanding of distributed systems and data flows</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience in telecommunications or MVNO platforms</li><li>Experience with CDR or similar usage/event data</li><li>Experience with Azure DevOps or CI/CD pipelines</li><li>Familiarity with streaming technologies (Kafka, Event Hub)</li><li>Knowledge of data validation, reconciliation, and billing-related systems</li></ul><p><b>What We Offer:</b></p><ul><li>Work from any location with a flexible schedule</li><li>Direct impact on core telecom data systems and platform architecture</li><li>Long-term collaboration potential</li></ul><p><b>Legal Information:</b></p><p>This is an Independent Contractor (1099) position. You will not be an employee of the company. As a contractor, you are responsible for your own taxes, insurance, and equipment.</p><p><b>How to Apply:</b></p><p>Please submit your Resume/CV highlighting your experience with backend systems, data pipelines, and cloud infrastructure.</p><p>Job Type: Contract</p><p>Pay: $800.00 - $1,000.00 per month</p><p>Work Location: Remote</p>

Backend / Data Engineer – MVNO Telecom (Azure, Italian Speaking) – Remote (1099 Contractor)

Valentino

<div>
 <strong>
  WHY WORK FOR VALENTINO
  <br/>
  <br/>
 </strong>
 Founded in Rome 1960, Valentino is an Italian Maison de Couture that aims to provide uniqueness to our customers through mastery, creativity, intimacy and care. As of today, Valentino counts about 4.000 colleagues in 30 different Countries all over the world. Every branch of the Valentino universe is nourished through passion, heritage and values that are constantly re-worked and steadily conveyed in an always contemporary way. Under the Creative Direction of Alessandro Michele, Valentino designs, manufactures and distributes dreamlike creations including Haute Couture, Women and Men RTW, Valentino Garavani Accessories, Eyewear and Beauty. Our network fully embodies the essence of the Maison, by practicing the Italian hospitality culture with our distinguishing quality, uniqueness and care for details.
 <br/>
 <br/>
 <strong>
  What We Believe In
  <br/>
  <br/>
 </strong>
 Here at Valentino, we act as a Unique Community &amp; Company. We strongly believe that HUMANISM is the core of our values and that only teamwork and mutual support will lead to achieve bigger and challenging goals. We act with integrity and respect towards both our Planet and our People. Our aim is to create costumer EMOTION and DESIRE because our future depends on our imagination and on being passionate about work as well as about life: every action you make brings you closer to your dreams.
 <br/>
 <br/>
 <strong>
  Valentino offers a hybrid working schedule with three days in office, and two days remote. This role is a full-time permanent position based in our New York Office.
  <br/>
  <br/>
 </strong>
 <strong>
  Overview:
  <br/>
  <br/>
 </strong>
 Provides financial, administrative and clerical support by ensuring payments are completed and expenses are controlled by receiving payments, processing, verifying and reconciling invoices according to established policies and procedures in an efficient, timely and accurate manner.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <strong>
  DATA, VENDOR INFORMATION:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Secure and maintain W-9 forms and prepare annual 1099-MISC and 1099-NEC returns.
  </li>
  <li>
   Create new vendor following Company policy and local tax requirement.
  </li>
  <li>
   Verify vendor bank information &amp; payment instructions/terms.
  </li>
  <li>
   Verify vendor accounts by reconciling monthly statements. Enter new or update vendor names and data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  REVIEW, PAYMENT:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with General Accounting team in the month-end close process (ensure invoices are accurately posted in the proper month; accruals are recorded in the proper month.)
  </li>
  <li>
   Review aged Accounts Payable by vendor on weekly basis.
  </li>
  <li>
   Review, code, post vendor invoices after verifying G/L account, cost center, vendor information, and approval status.
  </li>
  <li>
   Setup payment for invoices.
  </li>
  <li>
   Process checks, online credit card payments, ACH and wire transfer payments.
  </li>
  <li>
   Reconcile vendor accounts with system regularly.
  </li>
  <li>
   Resolve vendor discrepancies in a timely manner.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  INTERNAL AUDITS:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participate in writing Standard Operating Procedures.
  </li>
  <li>
   Maintain complete records of invoices/vendor information digitally.
  </li>
  <li>
   Assist with financial system upgrade.
  </li>
  <li>
   Monitor and manage autopay vendors (utilities, phone, etc. ), and clear to acknowledge payments in system.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years accounts payables experience.
  </li>
  <li>
   Experience with Esker or other invoice automation system.
  </li>
  <li>
   Experience in SAP S4H
  </li>
  <li>
   Proficiency in MS Office
  </li>
  <li>
   High degree of accuracy, attention to detail and confidentiality
  </li>
  <li>
   Effective verbal, listening and written communication skills
  </li>
  <li>
   Ability to work independently and as part of a team to ensure that all job functions are performed in a timely and efficient manner
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Budgeted hourly rate - $25-$30/hour
  <br/>
  <br/>
 </strong>
 <strong>
  How We Are
  <br/>
  <br/>
 </strong>
 The Valentino Ecosystem is complex and interconnected. It is populated by many talents from different areas and with different attributes. We work hard to grow everyday both as a Maison and as individuals. Learning by doing and from mistakes, communicating transparently, inspiring sense of belonging, passion and engaging colleagues are the bases of our inclusive and multifaceted world.
</div>


Accounts Payable Coordinator

Tessera Labs

<div>
 At Tessera Labs, we&rsquo;re revolutionizing business process automation with cutting-edge AI technology. Backed by Foundation Capital and led by a world-class founding team, we&rsquo;re building a high-impact engineering group to bring AI-powered automation to the enterprise world.
 <br/>
 <br/>
 Our multi-agent AI systems transform complex business workflows&mdash;eliminating inefficiencies, optimizing operations, and enabling seamless integrations across platforms like SAP, Salesforce, and Workday. We move fast, solve hard problems, and build at the bleeding edge of AI.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a Backend Engineer (Mid-Level) who thrives in a fast-paced, high-ownership startup environment. You&rsquo;ll help design, build, and maintain the backend systems that power Tessera&rsquo;s AI automation platform &mdash; including scalable APIs, data pipelines, and integrations with enterprise systems.
 <br/>
 <br/>
 This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 Core Development
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy).
  </li>
  <li>
   Build reliable microservices that support data processing, automation, and AI system integrations.
  </li>
  <li>
   Implement and optimize database schemas, queries, and caching for performance and scalability.
  </li>
  <li>
   Contribute to data pipelines and synchronization services across enterprise integrations.
   <br/>
   <br/>
  </li>
 </ul>
 AI &amp; Systems Integration
 <br/>
 <br/>
 <ul>
  <li>
   Connect backend services with AI model servers, vector databases, and automation workflows.
  </li>
  <li>
   Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday.
   <br/>
   <br/>
  </li>
 </ul>
 Scalability &amp; Reliability
 <br/>
 <br/>
 <ul>
  <li>
   Identify and fix performance bottlenecks in backend code and databases.
  </li>
  <li>
   Implement caching, monitoring, and logging to ensure system reliability and observability.
  </li>
  <li>
   Collaborate with DevOps to deploy and maintain cloud-based services on AWS or GCP.
   <br/>
   <br/>
  </li>
 </ul>
 Security &amp; Quality
 <br/>
 <br/>
 <ul>
  <li>
   Implement secure authentication and authorization (OAuth2, RBAC, SSO).
  </li>
  <li>
   Follow best practices in code quality, testing, and documentation.
  </li>
  <li>
   Participate in code reviews and contribute to improving backend architecture.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration &amp; Ownership
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with frontend, AI, and product teams to deliver new features.
  </li>
  <li>
   Take initiative in identifying improvements and building practical, scalable solutions.
  </li>
  <li>
   Balance speed and long-term scalability in a fast-moving environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of backend development experience with a focus on APIs, distributed systems, or cloud infrastructure.
  </li>
  <li>
   Proficient in Python, with experience using FastAPI, SQLAlchemy, or similar frameworks.
  </li>
  <li>
   Experience with PostgreSQL/MySQL and data modeling best practices.
  </li>
  <li>
   Familiarity with Redis, message queues (Kafka, RabbitMQ, Pub/Sub), and asynchronous processing.
  </li>
  <li>
   Experience with cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure Blob Storage.
  </li>
  <li>
   Understanding of API authentication, security, and scalability principles.
  </li>
  <li>
   Strong debugging, testing, and performance optimization skills.
   <br/>
   <br/>
  </li>
 </ul>
 Bonus Points
 <br/>
 <br/>
 <ul>
  <li>
   Experience integrating AI/ML models into backend systems.
  </li>
  <li>
   Familiarity with event-driven architectures or workflow automation systems.
  </li>
  <li>
   Prior experience in startups or high-growth tech companies.
   <br/>
   <br/>
  </li>
 </ul>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 <br/>
 <br/>
 Compensation Range: $200K - $250K
 <br/>
 <br/>
</div>


Software Engineer, Backend

Danaher

<div><p>At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.</p><p></p><p>
Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.</p><p></p><p>
You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.</p><p></p><p>
The <b>Principal AI Data Scientist &ndash; Service</b> will join the Supply Chain AI team, reporting to Director, Supply Chain AI Technology. This role is responsible for designing, developing, and deploying end-to-end AI and data science solutions that power our global service operations&mdash;spanning field service engineer (FSE) workforce optimization, service job routing, predictive and preventative maintenance, and service parts inventory management.</p><p></p><p>
This role is ideal for senior practitioners who are passionate about building production-grade, cloud-native AI/ML and optimization solutions&mdash;not just proofs of concept. You will leverage Azure for compute and agent workflows, and Snowflake as the enterprise data platform, to deliver scalable, reliable, and secure solutions with robust CI/CD. You will also work closely with service leaders, planners, and operational teams to translate business problems into AI solutions that drive measurable impact. This role will be working remotely and expected to travel up to 25-30% for workshop and stakeholder engagement.</p><p></p><p><b>
In this role, you will have the opportunity to:</b></p><ul><li><p>
Design, develop, and deploy end-to-end AI and data science solutions for service use cases such as:</p></li><li><p>
Build, productionize, and maintain ML/OR models and agentic workflows using Azure services (e.g., Azure Functions, Container Apps/Kubernetes, Azure ML, Event-driven architectures) and Snowflake as the core data platform.</p></li><li><p>
Own the full lifecycle from problem framing, data exploration, feature engineering, modeling, and experimentation to deployment, monitoring, and continuous improvement in a CI/CD environment (e.g., Azure DevOps or GitHub Actions).</p></li><li><p>
Collaborate cross-functionally with Service Operations, Field Service, Parts Planning, IT, and product/engineering teams to align technical solutions with operational realities, SLAs, and business KPIs.</p></li><li><p>
Partner with solution architects, data engineers, and platform engineers to define robust data models and data pipelines in Snowflake that support analytics, optimization, and real-time decisioning at scale. Ensure models and services are robust, secure, and production ready, with clear monitoring, alerting, feedback loops, and retraining strategies.</p></li></ul><p></p><p><b>
The essential requirements of the job include:</b></p><ul><li><p>
PhD or Master&rsquo;s degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field.</p></li><li><p>
Multiple years of experience (typically 7+ years) in AI, data science, or advanced analytics, with significant experience focused on service, maintenance, field operations, or closely related operational optimization domains.</p></li><li><p>
Strong proficiency in Python and experience with modern ML/AI and optimization frameworks (e.g., scikit-learn, PyTorch, OR-Tools/Gurobi or similar, and optionally LLM/agent frameworks for workflow orchestration).</p></li><li><p>
Demonstrated experience building and deploying production-grade AI/ML or optimization solutions on Azure, including containerized services, APIs, and CI/CD pipelines.</p></li><li><p>
Hands-on experience working with Snowflake (or a similar cloud data platform) for data modeling, SQL development, performance tuning, and integrating analytics/ML workloads.</p></li></ul><p></p><p><b>
It would be a plus if you also possess previous experience in:</b></p><ul><li><p>
Direct experience in Service Operations, Field Service, Asset Management, or Service Supply Chain functions.</p></li><li><p>
Familiarity with ERP and service management systems (e.g., Oracle, SAP, ServiceMax, Salesforce Field Service, or similar) and how they support service orders, assets, and parts.</p></li><li><p>
Experience with large language models (LLMs) and intelligent agents applied to service workflows, such as technician copilots, knowledge retrieval, or conversational troubleshooting.</p></li></ul><p></p><p>
At Danaher we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.</p><p></p><p>
The annual salary range for this role is $150K-$215K.. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.</p><p></p><p>
This job is also eligible for bonus/incentive pay. #LI-Remote</p><p>
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.</p><p></p><p>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p><p></p><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
</p><p></p><p>For more information, visit www.danaher.com.</p></div><p></p>

Principal AI Data Scientist, Service - USA Remote

American Expediting

<div><b>Job Description:</b><br>
Join Our Team as a 1099 Independent Contractor Medical Courier Driver.<br>
If you are a reliable and safe driver looking for flexible work opportunities, come contract with us!<br>
<ul>
<li>All you need is your own car! (additional requirements listed below)</li>
<li>No earnings cap, excellent rates and great customer base.</li>
<li>Monday - Sunday 3pm to 1am on demand</li>
<li>Will Need: Dolly or Hand Truck</li>
<li>Our couriers provide expedited delivery services to medical facilities and help save lives!</li>
</ul><br>
American Expediting is a leading provider of health sciences delivery services, committed to ensuring timely and reliable deliveries. We pride ourselves on delivering exceptional service and building strong relationships with our clients.<br>
<b>Please note that this position is for independent contractors. As an independent contractor, you will be responsible for providing your own vehicle.</b><br>
We are seeking reliable and professional individuals with a CAR to join our team as an independent contractor. Independent contractors play a vital role in our organization. You will be responsible for performing on-demand deliveries, ensuring same-day service, delivering excellent customer care and maintaining a high standard of quality in your work.<br>
<b>Job Requirements:</b><br>
<ul>
<li>Must be 21 years of age or older with a valid drivers' license</li>
<li>Background Check and Motor Vehicle Record Check (Must pay for this upfront)</li>
<li>Willingness to obtain TSA Certification &amp; Customer Specific Medical Certifications (Certification provided upon contracting)</li>
Proof of Insurance required - 100/300 liability coverage<br>
<li><ul>
<li>American Expediting listed on declaration page or certificate of insurance as Additionally Insured or while under dispatch, insurance is offered.</li></ul><br>
</li><li>Workers' Comp or Occ/Acc (per state statute or $1MM Occ/Acc)</li>
</ul><br>
<b>Job Overview:</b><br>
Job Type: Contract<br>
Work Location: On the road<br>
Shift:<br>
<ul>
<li>Day shift
</li></ul><br>
#TS-AmExCo-Car-P3#<br>
Wage Range: 400.00 - 2000.00 per week<br>
General Description of Benefits: This is a 1099 contractor position. Independent Contractors (IC) are responsible for their own insurance, health coverage, tax reporting, and more.</div>

Medical Courier Car Driver, Independent Contractor

First Street

<div>
 <strong>
  Company &amp; Mission Overview:
  <br/>
  <br/>
 </strong>
 <strong>
  Our mission:
 </strong>
 We exist to connect climate and financial risk.
 <br/>
 <br/>
 <strong>
  Who we are:
 </strong>
 First Street is the standard for Climate Risk Financial Modeling. For over a decade, we&rsquo;ve been translating climate risk into decision-useful financial outcomes for investors, businesses, communities, and property owners worldwide. With backing from world-class firms, including Innovation Endeavors, Galvanize, General Catalyst, and others, our team has raised millions to change how the global economy thinks about climate change.
 <br/>
 <br/>
 Read more about our culture here and see what Climate Risk Financial Modeling is all about here.
 <br/>
 <br/>
 <strong>
  Our data:
 </strong>
 We&rsquo;ve assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies. Using physics-based deterministic models, we predict the likelihood of floods, wildfires, hurricanes, and other hazards at any location on Earth, along with associated damage and downtime.
 <br/>
 <br/>
 <strong>
  Our customers:
 </strong>
 We aim to incorporate climate risk data into every financial decision made today. We are relied on every day by:
 <br/>
 <br/>
 <ul>
  <li>
   Institutional investors like Norges Bank Investment Management and Blackstone.
  </li>
  <li>
   Banking enterprises, including Bank of America and Fifth Third.
  </li>
  <li>
   Government bodies ranging from Fannie Mae to the US State of Connecticut.
  </li>
  <li>
   Millions of everyday users on Zillow, Redfin, Realtor.com, Homes.com, and more.
   <br/>
   <br/>
  </li>
 </ul>
 Come join us and use your talents to change the world.
 <br/>
 <br/>
 <strong>
  Team &amp; Role Overview
  <br/>
  <br/>
 </strong>
 The engineering team at First Street is the backbone of our mission: using technology and data to help the world understand and adapt to climate risk. We&rsquo;re an AI-native team building the systems that power our global products&mdash;tools relied on by customers to make informed, climate-aware decisions.
 <br/>
 <br/>
 As a
 <strong>
  Fullstack Software Engineer
 </strong>
 , you&rsquo;ll be a product-facing engineer responsible for delivering end-to-end features across frontend and backend systems. You&rsquo;ll work closely with product managers, designers, and data partners to translate complex climate data into performant, accessible, and intuitive user experiences.
 <br/>
 <br/>
 This role is ideal for an engineer with strong frontend fundamentals who is comfortable working across the stack and collaborating deeply with cross-functional partners.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and ship product features across the frontend and backend.
  </li>
  <li>
   Develop user-facing experiences with attention to UI architecture, performance, and accessibility.
  </li>
  <li>
   Integrate frontend applications with backend APIs and services (primarily written in Go).
  </li>
  <li>
   Collaborate closely with product managers and designers, actively contributing ideas, tradeoffs, and technical perspectives.
  </li>
  <li>
   Debug and reason about issues across the stack, including identifying whether problems originate in the frontend, backend, or underlying data.
  </li>
  <li>
   Work with platform engineers and data partners to ensure product behavior aligns with real-world data and customer expectations.
  </li>
  <li>
   Contribute to code quality, documentation, and shared engineering practices.
  </li>
  <li>
   Deliver reliable, maintainable software that advances First Street&rsquo;s mission to connect climate and financial risk
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technologies We Use
  <br/>
  <br/>
 </strong>
 Our stack includes (but is not limited to):
 <br/>
 <br/>
 AWS, Go, Linux, Kubernetes, MySQL, PostgreSQL (+ PostGIS), Elasticsearch, Redis, Git, Docker, JavaScript, Node.js, React, GraphQL, REST, and Python.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional experience working as a software engineer on production systems.
  </li>
  <li>
   Strong frontend fundamentals, including UI architecture, performance optimization, and accessibility.
  </li>
  <li>
   Experience building and integrating with APIs.
  </li>
  <li>
   Comfort working across the stack, even if your background leans frontend or backend.
  </li>
  <li>
   Experience collaborating with cross-functional partners such as product managers and designers.
  </li>
  <li>
   Ability to debug complex systems and reason about issues across frontend, backend, and data layers.
  </li>
  <li>
   Bachelor&rsquo;s degree or equivalent practical experience in Engineering, Computer Science, or a related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Will Make You Stand Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in product-driven engineering environments.
  </li>
  <li>
   Familiarity with GraphQL and modern frontend data-fetching patterns.
  </li>
  <li>
   Experience debugging or working with data-heavy or geospatial systems.
  </li>
  <li>
   Prior experience in roles that required close collaboration with non-engineering stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 Our anticipated US base salary compensation range for this role is $100,000-150,000 plus stock options and a competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Actual compensation will vary depending on factors such as work location as well as additional factors such as a candidate&rsquo;s qualifications, skills, experience, competencies, and relevant education. Your recruiter can share more about the specific salary range for your location during the hiring process.
 <br/>
 <br/>
 <strong>
  How we work:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Impact: We only focus on things that move the needle
  </li>
  <li>
   Drive: We are driven by the role we play in connecting climate change to financial risk
  </li>
  <li>
   Ownership: This is our company and we act accordingly
  </li>
  <li>
   Urgency: We move quickly because the world depends on it
  </li>
  <li>
   Resilience: We have a growth mindset in all that we do
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary commensurate with experience
  </li>
  <li>
   Ownership interest in the company via Employee Stock Option Plan
  </li>
  <li>
   Hybrid Schedule with in-office work days on Monday, Wednesday and Thursday
  </li>
  <li>
   15 vacation days along with 8 statutory company holidays, 5 days for winter break office closure, and 10 sick days
  </li>
  <li>
   Healthcare monthly premium covered at 100% for employee or a significant contribution for family plans
  </li>
  <li>
   Vision and dental benefits with partial employee contribution
  </li>
  <li>
   12 weeks of paid parental leave
  </li>
  <li>
   Access to One Medical, Teledoc, HealthAdvocate, Kindbody, and Talkspace
  </li>
  <li>
   Company 401k program
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Life Insurance
  </li>
  <li>
   Tech startup environment
  </li>
  <li>
   Weekly team meals and an office stocked with coffee and snacks
  </li>
  <li>
   Working on the world&rsquo;s biggest issue with other passionate professionals
   <br/>
   <br/>
  </li>
 </ul>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 <br/>
 <br/>
 <strong>
  Once you've applied, please be sure to check your spam folder, as emails from our recruiting team are sometimes rerouted.
  <br/>
  <br/>
 </strong>
</div>


Software Engineer

GEI Consultants

<div><p><b>Description</b><br>
</p><br>
<b>Your role at GEI.</b><br>
<br>
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI&rsquo;s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.<br>
<br>
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.<br>
<br>
<b>Essential Responsibilities &amp; Duties</b><br>
<ul><li>
Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.</li><li>
Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.</li><li>
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.</li><li>
Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.</li><li>
Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.</li><li>
Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.</li><li>
Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.</li><li>
Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.</li><li>
Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.</li></ul><br>
<b>
Minimum Qualifications</b><br>
<ul><li>
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.</li><li>
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.</li><li>
Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.</li><li>
Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.</li><li>
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.</li><li>
Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.</li><li>
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).</li><li>
Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.</li><li>
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.</li><li>
Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.</li><li>
Prior experience in professional services, engineering, or construction environments is a plus.</li><li>
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.</li></ul><br>
<b>
We are GEI.</b><br>
<br>
Some of the world&rsquo;s most pressing problems &ndash; from climate change to sustainable development, to critical infrastructure and the future of our energy supply &ndash; need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.<br>
<br>
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients&rsquo; most complex challenges.<br>
<br>
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.<br>
<br>
<b>Employee-owned. Employee-focused.</b><br>
<br>
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs &ndash; we are Client-Centered, Curious, Collaborative, and Community Minded &ndash; which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI&rsquo;s career site here.<br>
<br>
<b>GEI&rsquo;s Total Rewards Package Includes</b><ul><li>
Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus</li><li>
Pay Range For This Position: $90,000.00 &ndash; $150,000.00/year</li><li>
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More</li><li>
Well-Being Program and Paid Parental Leave</li><li>
Commuter Benefits</li><li>
Hybrid Work Schedules and Cell Phone Stipends</li><li>
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement</li><li>
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement</li><li>
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses</li><li>
Paid Holidays and Generous Paid Time Off Program</li><li>
Rewards and Recognition</li><li>
GEI-Funded Profit Sharing and 401(k)</li><li>
Opportunity to be an Owner and Shareholder (Learn more here)</li><li>
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion</li><li>
And More&hellip;</li></ul><br>
<b>
PHYSICAL REQUIREMENTS</b><div><div><div><div><div><div><br>
WORK ENVIRONMENT</div><div></div><div><br>
</div></div><div></div><br>
<br>
<div><div><br>
Functional Demands:</div><div></div><div><br>
</div></div><br>
<div><div><br>
</div><div></div><br>
<div><br>
Sedentary</div><div><br>
x</div><div><br>
Light</div><div><br>
</div><div><br>
Medium</div><div></div><div><br>
Other</div></div><div></div><div><div><b><br>
</b><br>
<b>Activity Level Throughout Workday </b><i>(check one per row)</i></div></div><br>
<div><div><br>
<b>
Physical Activity Requirements</b></div><div><br>
<b>Occasional</b><br>
<b>(0-35% of day)</b></div><div><br>
<b>Frequent</b><br>
<b>(33-66% of day)</b></div><div><br>
<b>Continuous</b><br>
<b>(67-100% of day)</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Sitting</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Standing</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Walking</div><div><br>
x</div></div><div></div><div><div><br>
Climbing</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Lifting (floor to waist level) <i>(in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Lifting (waist level and above)<i> (in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Carrying objects</div><div><br>
x</div></div><div></div><div><div><br>
Push/pull</div><div><br>
x</div></div><div></div><div><div><br>
Twisting</div><div><br>
x</div></div><div></div><div><div><br>
Bending</div><div><br>
x</div></div><div></div><div><div><br>
Reaching forward</div><div><br>
x</div></div><div></div><div><div><br>
Reaching overhead</div><div><br>
x</div></div><div></div><div><div><br>
Squat/kneel/crawl</div><div><br>
x</div></div><div></div><div><div><br>
Wrist position deviation</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Pinching/fine motor skills</div><div><br>
x</div></div><div></div><div><div><br>
Keyboard use/repetitive motion</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Taste or smell (taste=never)</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Talk or hear</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><b><br>
Accurate 20/40</b></div><div><br>
<b>Very Accurate 20/20</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Near Vision</div><div><br>
</div><div><br>
x</div></div><br>
<div></div><div><div><br>
Far Vision</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
<b>
Yes</b></div><div><br>
<b>No</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Color Discrimination</div></div><div></div><div><div><b><br>
Sensory Requirements</b></div><div><br>
<b>Minimal</b></div><div><br>
<b>Moderate</b></div><div><br>
<b>Accurate</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Depth perception</div><div></div><div><br>
x</div></div><div></div><div><div><br>
Hearing</div><div></div><div><br>
</div><div><br>
x</div></div></div><div></div><b><br>
</b><br>
<b>Environment Requirements</b><div><div><div><div><br>
<b>
Occupational Exposure Risk Potential</b></div><div><br>
<b>Reasonably Anticipated</b></div><div><br>
<b>Not Anticipated</b></div></div><br>
</div><div><div><div><br>
Blood borne pathogens</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Chemical</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Airborne communicable diseases</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Extreme temperatures</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Radiation</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Uneven surfaces or elevations</div><div><br>
x</div></div><div></div><div><div><br>
Extreme noise levels</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Dust/particulate matter</div><div><br>
x</div></div></div></div><div></div><div><div><br>
<b>
Other (exposure risks):</b></div></div><div></div><div><div><br>
<b>
Usual workday hours</b>:</div><div><br>
x</div><div><br>
8</div><div><br>
</div><div><br>
10</div><div><br>
</div><div><br>
12</div><div></div><div><br>
Other work hours</div></div></div></div></div><br>
<div></div>
<i>
GEI is an AA/equal opportunity employer, including disabled and veterans.</i></div>

Data Engineer

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