lead data engineer

Thoughtworks

<div><div><div>Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.
</div>
<h2 class="jobSectionHeader">Job responsibilities</h2>
<div><ul><li>You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.</li>
<li>You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.</li>
<li>You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.</li>
<li>You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.</li>
<li>You will collaborate with data scientists to design scalable implementations of their models.</li>
<li>You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.</li>
<li>You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.</li>
<li>You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.</li>
<li>You will be responsible for data governance, data security and data privacy to support business and compliance requirements.</li>
<li>You will define the strategy for and incorporate data quality into your day-to-day work.</li>
</ul></div><h2 class="jobSectionHeader">Job qualifications</h2>
<div><h3 class="jobSectionHeader">Technical Skills</h3>
<div><ul><li>You have experience in leading the system design and implementation of technical solutions.</li>
<li>Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.</li>
<li>You have a deep understanding of data modeling and experience with modern data engineering tools and platforms.</li>
<li>You have experience in writing clean, high-quality code using the preferred programming language.</li>
<li>You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.</li>
<li>You have experience with data visualization techniques and can communicate the insights as per the audience.</li>
<li>You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.</li>
<li>You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).</li>
</ul></div><h3 class="jobSectionHeader">Professional Skills</h3>
<div><ul><li>You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.</li>
<li>You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.</li>
<li>You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.</li>
<li>You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.</li>
<li>You enjoy influencing others and always advocate for technical excellence while being open to change when needed.</li>
<li>You are a proven leader with a track record of encouraging teammates in their professional development and relationships.</li>
<li>Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.</li>
</ul></div></div><h2 class="jobSectionHeader">Other things to know</h2>
<div><h3 class="jobSectionHeader">Learning &amp; Development</h3>
<div>
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
</div>
</div><h2 class="jobSectionHeader">About Thoughtworks</h2>
<div>
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we're pushing boundaries through our purposeful and impactful work. For 30+ years, we've delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let's be extraordinary.
</div>
#LI-Remote
</div><div>
See here our AI policy.</div></div>

Lead Data Engineer

<div>Role description 
Senior Data Engineer

Lead I - Data Engineering 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

UST is searching for a highly skilled Senior Data Engineer with strong expertise in Python, PySpark, and AWS to design, build, and optimize scalable data pipelines and modern data platforms. The candidate will be responsible for delivering high-performance data solutions supporting analytics and business intelligence use cases in a cloud-native environment. 


The opportunity:
<ul><li> Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark for batch and streaming workloads.</li></ul>
<ul><li> Build and manage data lake / lakehouse architectures (Bronze/Silver/Gold layers) to support enterprise analytics.</li></ul>
<ul><li> Optimize Spark jobs for performance, scalability, and cost efficiency using best practices.</li></ul>
<ul><li> Work with AWS services such as S3, Glue, EMR, Lambda, and Step Functions to integrate and orchestrate data workflows.</li></ul>
<ul><li> Implement data quality, validation, and monitoring frameworks to ensure data reliability and integrity.</li></ul>
<ul><li> Collaborate with cross-functional teams (Data, Platform, Application teams) to deliver end-to-end data solutions.</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Core Experience</li></ul>
<ul><li> 4+ years of experience in Data Engineering / Software Development.</li></ul>
<ul><li> Strong proficiency in Python programming (data structures, OOP, design patterns).</li></ul>
<ul><li> Hands-on experience in PySpark and Spark ecosystem including DataFrames, Spark SQL, and Spark Streaming.</li></ul>
<ul><li> Data Engineering &amp; Processing</li></ul>
<ul><li> Experience in building large-scale ETL/ELT pipelines.</li></ul>
<ul><li> Strong knowledge of data modeling and data lake architecture (Bronze/Silver/Gold).</li></ul>
<ul><li> Expertise with file formats such as Parquet, Avro, JSON.</li></ul>
<ul><li> Knowledge of data quality, validation, and governance practices.</li></ul>
<ul><li> Cloud (AWS) Expertise</li></ul>
<ul><li> Hands-on experience with:</li></ul>
<ul><li> AWS Glue (ETL jobs, Data Catalog, workflows)</li></ul>
<ul><li> Amazon EMR (cluster management, scaling, optimization)</li></ul>
<ul><li> Amazon S3 (data lake design, partitioning, lifecycle)</li></ul>
<ul><li> AWS Lambda (serverless integrations)</li></ul>
<ul><li> Experience with orchestration tools:</li></ul>
<ul><li> AWS Step Functions / Airflow (MWAA)</li></ul>
<ul><li> Monitoring via CloudWatch (logs, metrics, s)</li></ul>
<ul><li> Performance &amp; Optimization</li></ul>
<ul><li> Strong experience in Spark performance tuning and optimization.</li></ul>
<ul><li> Handling large datasets with focus on efficiency and cost optimization.</li></ul>
<ul><li> Development &amp; DevOps</li></ul>
<ul><li> Experience with CI/CD pipelines (CodePipeline, CodeBuild, CodeDeploy).</li></ul>
<ul><li> Familiarity with Infrastructure as Code (Terraform/CloudFormation).</li></ul>
<ul><li> Strong focus on testing and code quality (pytest, unit/integration testing, PEP 8 standards).</li></ul>
<ul><li> Additional Skills</li></ul>
<ul><li> Strong analytical and problem-solving skills.</li></ul>
<ul><li> Excellent communication and stakeholder collaboration abilities.</li></ul>
<ul><li> Ability to work independently and in Agile environments.</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Illinois

Compensation Range: $70,000-$105,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 


Equal Employment Opportunity Statement 
UST is an Equal Opportunity Employer. 


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. 


#UST

#CB

#LI-IS1 
Skills 
data engineering,python,spark,sql,aws system,data integration,data pipeline, 
Benefits 
Compensation range: $70,000.00 to $105,000.00 per year 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Senior Data Engineer

Intellect Group

<div>
 
 
 Junior&ndash;Mid-Level AI Engineer &ndash; Chicago, IL
 
 
 
 
 Location: Chicago, IL &mdash; Hybrid
 
 
 
 
 Salary: $110,000&ndash;$150,000 base salary, depending on experience
 
 
 
 
 Employment Type: Permanent | Full-Time
 
 
 
 
 
 
 Intellect Group is partnering with high-growth technology companies across Chicago that are hiring Junior and Mid-Level AI Engineers.
 
 
 
 
 
 These opportunities are suited to engineers with approximately 1&ndash;3 years of professional experience, as well as exceptional graduates with strong internships, research experience, or substantial hands-on AI projects.
 
 
 
 
 
 You will work alongside experienced engineers, data scientists, and product teams to build AI systems that move beyond experimentation and into production. Our clients include funded startups, scaling technology companies, and established businesses operating across AI, fintech, healthcare, SaaS, and logistics.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 &bull; Designing, developing, and deploying machine learning models and AI-powered product features
 
 
 &bull; Building applications using LLMs, generative AI, NLP, and deep learning
 
 
 &bull; Developing end-to-end AI pipelines covering model training, deployment, evaluation, and monitoring
 
 
 &bull; Building RAG pipelines, semantic search tools, AI agents, and conversational applications
 
 
 &bull; Developing APIs and services that integrate AI models into customer-facing products
 
 
 &bull; Collaborating with software engineers, data scientists, and product teams to solve real-world business problems
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 &bull; Approximately 1&ndash;3 years of experience in AI engineering, machine learning, data science, or software engineering
 
 
 &bull; Exceptional graduates with relevant internships, research, or technically strong personal projects will also be considered
 
 
 &bull; Strong Python programming skills
 
 
 &bull; Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar frameworks
 
 
 &bull; A solid understanding of machine learning, neural networks, transformers, and model evaluation
 
 
 &bull; Exposure to LLMs, generative AI, NLP, or deep learning
 
 
 &bull; Strong problem-solving and communication skills, with the ability to explain the reasoning behind your work
 
 
 
 
 
 
 Desirable Experience
 
 
 
 &bull; RAG, AI agents, vector databases, embeddings, or semantic search
 
 
 &bull; AWS, Microsoft Azure, or Google Cloud Platform
 
 
 &bull; Docker, FastAPI, Kubernetes, CI/CD, or other MLOps technologies
 
 
 &bull; SQL, data pipelines, API development, and production deployment
 
 
 &bull; Open-source contributions, academic research, Kaggle competitions, or personal AI projects
 
 
 
 
 
 
 What&rsquo;s on Offer:
 
 
 
 &bull; A base salary of $110,000&ndash;$150,000
 
 
 &bull; Annual bonuses or equity options
 
 
 &bull; Medical, dental, and vision insurance
 
 
 &bull; 401(k) plans with potential employer matching
 
 
 &bull; Flexible paid time off and paid parental leave
 
 
 &bull; Learning and professional-development support
 
 
 &bull; Hybrid working and commuter benefits
 
 
 &bull; Clear progression into Senior, Lead, and Staff AI Engineering roles
 
 
 
 
 
 
 Apply Now
 
 
 
 If you are an early-career AI Engineer looking to build meaningful, production-ready AI systems, we would like to hear from you. Apply with your r&eacute;sum&eacute; today. Links to GitHub profiles, portfolios, research papers, or personal AI projects are strongly encouraged.
 
 
 
 
 
 
 A member of the Intellect Group team will contact suitable applicants to discuss relevant opportunities across the Chicago market.
 
 
</div>

Artificial Intelligence Engineer

SpotOn

<div>About SpotOn
We&rsquo;re not just building restaurant tech, we&rsquo;re giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed.<ul><li>
Named the #1 Restaurant POS by G2 (Fall 2025), based on ratings from real users</li><li>
Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users</li><li>
Awarded Great Places to Work and Built In&rsquo;s Best Workplaces for multiple years running</li></ul>
We move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you&rsquo;re looking to make an impact with heart and hustle, SpotOn is the place for you.
The Sales Operations team at SpotOn comprises enthusiastic individuals dedicated to making a meaningful impact. We foster a culture of mutual support and encouragement, welcoming challenges and holding each other to high standards. Our commitment to teamwork, collaboration, and expertise drives us to continuously push boundaries and strive for excellence.
This position follows a hybrid work schedule in accordance with the Company&rsquo;s in-office work policy.
What You&rsquo;ll Do<ul><li>
Own lead data health in Salesforce, including deduplication, enrichment, data integrity, and ongoing CRM hygiene.</li><li>
Build and maintain reporting that provides visibility into lead quality, sales follow-up, and lead management effectiveness.</li><li>
Translate complex data and model outputs into clear, actionable recommendations that improve lead performance, sales efficiency, and strategic decision-making.</li><li>
Measure the effectiveness of lead management initiatives and recommend optimizations based on performance data.</li><li>
Partner with stakeholders to improve how leads are identified, prioritized, and worked across the organization.</li><li>
Leverage Salesforce, SQL, and automation tools to streamline lead management processes and reduce manual work.</li><li>
Integrate AI-powered tools and automation workflows to reduce manual data work, improve process reliability, and enable faster, more scalable operations.</li><li>
Apply statistical modeling, segmentation analysis, and predictive analytics to identify trends in lead behavior, conversion likelihood, and pipeline health.</li><li>
Leverage AI and large language model (LLM) tools to accelerate data analysis, automate insight generation, and surface anomalies or patterns at scale.</li></ul>
What Success Looks Like<ul><li>
Lead data is accurate, enriched, and trusted across the organization.</li><li>
Lead scoring and prioritization frameworks help sales teams focus on the highest-value opportunities.</li><li>
Reporting provides clear visibility into lead performance and conversion trends.</li><li>
Manual processes are reduced through automation and process improvements.</li><li>
Sales, Marketing, and Revenue Operations teams view you as a trusted partner for lead management strategy and execution.</li><li>
Predictive models and data science outputs are actively used by leadership to guide lead strategy, resource allocation, and go-to-market decisions.</li><li>
AI tools are embedded into the team&rsquo;s workflow, reducing time spent on manual analysis and freeing capacity for higher-impact strategic work.</li></ul>
What You&rsquo;ll Bring<ul><li>
2&ndash;4 years of experience in Revenue Operations, Sales Operations, Marketing Operations, Lead Management, or a related analytical role.</li><li>
Strong analytical and problem-solving skills with the ability to turn data into actionable insights.</li><li>
Experience working in Salesforce and building reports and dashboards.</li><li>
Strong proficiency in SQL for complex data extraction and manipulation; experience with Python or R for statistical analysis and modeling strongly preferred.</li><li>
Strong attention to detail and commitment to data accuracy.</li><li>
Ability to manage multiple priorities and work independently in a fast-paced environment.</li><li>
Excellent communication and cross-functional collaboration skills.</li><li>
Hands-on experience with data science techniques including predictive modeling, clustering, regression analysis, and feature engineering applied to business or marketing datasets.</li><li>
Comfortable working with large, messy datasets &mdash; skilled at data wrangling, cleansing, and transforming raw data into analysis-ready formats.</li><li>
Active user of AI tools (e.g., ChatGPT, Copilot, or similar LLMs) to enhance productivity &mdash; from drafting analyses and summarizing data to writing code and automating repetitive tasks.</li><li>
Experience with BI and data visualization platforms (e.g., Tableau, Looker, Power BI, or similar) and the ability to build intuitive dashboards for non-technical stakeholders.</li></ul>
Compensation
<ul><li>Our base pay range for this role is $73,000 -$91,000/year.</li><li>
Offers will be reflective of the candidate&rsquo;s location and experience.</li></ul>
Benefits 
 
At SpotOn, we put people above everything else. We&rsquo;re known for our innovative software and technology solutions, but we stand out because of the hardworking humans behind the tech. We can&rsquo;t take care of our clients without taking care of our employees first, and that&rsquo;s why we invest in your wellbeing with a competitive benefits package designed to support your health, family, and future:<ul><li>
Medical, Dental, and Vision Options: Nationwide plans to fit your personal healthcare needs.</li><li>
HSA with Employer Match: High-deductible health plan enrollees receive an annual company contribution to their Health Savings Account</li><li>
Company-Paid Life Insurance &amp; Disability</li><li>
401(k) Retirement Savings &amp; Annual Employer Match</li><li>
Pre-Tax Commuter Benefits</li><li>
Paid Parental Leave</li><li>
Paid vacation, 10 company holidays (including 1 floating holiday), sick time, and volunteer time off</li><li>
Monthly cell phone and internet stipend</li><li>
Education reimbursement up to $2,000 per calendar year to assist with your professional development</li><li>
Employee Resource Groups to build community and inclusion at work</li></ul>
We will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com). If something seems suspicious, please contact us at careers@spoton.com.
SpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law. 
 
Work authorization in the U.S. is required. Visa sponsorship is not available for this role.
SpotOn is an E-Verify company.
Compensation Range: $73K - $91K</div>

Analyst, Sales Operations

<div><h2 class="jobSectionHeader">What You Will Do:</h2><div>
GFT is seeking a Principal Transmission Line Engineer to join our Power Business Group! This role would report to the Charlotte, NC, Roanoke, VA, Marlton, NJ, Pittsburgh, PA, St. Louis, MO, Chicago, IL or Phoenix, AZ office but could be fully remote for the right candidate.</div><div>
</div><div>
Joining the power team at GFT means engaging in cutting-edge projects that drive the future of energy infrastructure. Our team excels in providing solutions for power transmission, distribution, and renewable energy, utilizing advanced technologies and creative problem-solving to meet today&rsquo;s diverse energy needs. Be part of a dynamic group dedicated to enhancing system reliability, sustainability, and efficiency while shaping the energy landscape for a resilient and sustainable future. Discover some of our signature power and energy projects here.
</div><div>
</div><div>What you&rsquo;ll be challenged to do:</div><div>
</div><div>
As a Principal Transmission Line Engineer, you will lead and oversee transmission line project designs, serving as a subject matter expert in transmission line engineering. You will navigate the complexities of electrical transmission line design while leading project discussions with clients and internal teams. Additionally, you will provide strategic input to the leadership team, ensuring alignment with project goals.</div><div>
</div><div>
In this capacity, the successful candidate will be responsible for the following:</div><div><ul><li>
Design transmission line segments using PLS-CADD or other structural design software.</li><li>
Develop design criteria documents and construction specifications.</li><li>
Prepare comprehensive construction packages, including structure details, material lists, staking tables, plan and profiles, and stringing charts.</li><li>
Estimate project costs, resources, labor, and materials, establishing realistic deadlines and completion dates.</li><li>
Write, modify, and review specifications in compliance with NESC, IEEE, NEC requirements, and industry best practices.</li><li>
Conduct feasibility studies, routing studies, and EMF calculations to support project planning.</li><li>
Oversee project implementation, ensuring proper verification of foundations, structures, and equipment installation.</li><li>
Lead or assist with proposal preparation and business development initiatives.</li><li>
Travel to client sites for project definition and execution phases.</li><li>
Mentor and coach less experienced engineers and technicians, fostering professional growth within the team.</li></ul></div><h2 class="jobSectionHeader">
Education | Experience:</h2><div>
What you will bring to our firm:</div><div><ul><li>
Bachelor&rsquo;s degree in Civil Engineering, Electrical Engineering, or Structural Engineering from an accredited college or university.</li><li>
15+ years of experience in transmission line design.</li><li>
In-depth knowledge of NESC, IEEE, and other applicable codes and standards related to transmission line design.</li><li>
High proficiency in PLS-CADD.</li><li>
Experience in electrical utility or utility consulting is strongly preferred.</li><li>
Strong technical writing and verbal communication skills.</li><li>
Professional Engineer (PE) license preferred.</li></ul></div><div>
What we prefer you bring:</div><div><ul><li>
Experience with RISA-3D and/or STAAD for structural analysis and design is preferred.</li><li>
Functional understanding of AISC, ACI 318, ASCE 7, ASCE 10, ASCE 48, EIA-TIA 222, CSA, and GO95 is preferred.</li></ul></div><div>
Compensation:</div><div>
The salary range for this role is $130,000 - $175,000. Salary is dependent upon experience and geographic location.</div><div>
</div><div>
Featured Benefits:</div><ul><li>
Hybrid (in-person and remote) work environment.</li><li>
Comprehensive benefits package including wellness programs, parental leave, and pet insurance, in addition to medical, dental, vision, disability, and life insurance.</li><li>
Tax-deferred 401(k) savings plan.</li><li>
Competitive paid-time-off (PTO) accrual.</li><li>
Tuition reimbursement for continued education.</li><li>
Commitment to professional development, access to internal and external training programs, and support of active participation in professional organizations</li><li>
Incentive compensation for eligible positions.</li></ul><h2 class="jobSectionHeader">
Company Overview:</h2><div><div>
At GFT, a privately held AEC firm, we innovate where transportation, water, power, and buildings converge. We call this the Infrastructure of Life. We measure our success by the strength of our relationships &ndash; that&rsquo;s why we&rsquo;re the employer of choice for 5,000+ of the industry&rsquo;s brightest engineers, planners, architects, inspectors, designers, and more.</div><div></div><div> 
Our clients choose us for our expertise and prefer us for our nimble approach, creativity, and personal touch. Backed by over a century&rsquo;s experience, together we&rsquo;re building a lasting legacy for future generations: stronger communities, a healthier planet, and better lives. GFT: Ingenuity That Shapes Lives&trade;</div><div></div><div> 
GFT is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veterans&rsquo; status or other characteristics protected by law.</div><div></div><div> 
Unsolicited resumes from third party agencies will be considered the property of GFT.</div></div><div> 
</div><div>
Location: Charlotte, NC, Roanoke, VA, Marlton, NJ, Pittsburgh, PA, St. Louis, MO, Chicago, IL or Phoenix, AZ office but could be fully remote for the right candidate.</div><div>
Core Business Hours: 8:00 AM &ndash; 5:00 PM</div><div>
Employment Status: Full-Time</div><div>
</div><div>
Salary dependent upon experience and geographic location</div><div></div><div><div> 
#LI-Hybrid</div><div>
#LI-GB1</div><div>
#LI-REMOTE</div><div></div> 
CALIFORNIA APPLICANTS 
Applicants in the County of Los Angeles - Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Applicants in the City of San Francisco - Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
Applicants in the State of California - Qualified applications with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act. 
GFT does require the successful completion of a criminal background check for all advertised positions.<div> 
Application deadline 12/20/2026</div></div></div>

Principal Transmission Line Engineer

Applied Systems

<div>Job Description:<div></div> 
Amazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That&rsquo;s why at Applied, we&rsquo;re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers &ndash; all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we&rsquo;re not just redefining what&rsquo;s achievable; we&rsquo;re creating a place where amazing career moments are made possible. 
Position Overview
We&rsquo;re searching for a Director, Product Analytics and Insights to join our Product Operations team; establishing and leading our product analytics function from the ground up and shaping how product investment decisions are made across the business. Reporting to the VP of Product Operations, you will define the KPI framework, analytics strategy, instrumentation approach, and self-service capabilities that enable product managers and leaders to make data-driven decisions. Leveraging Pendo as the core analytics platform, you'll uncover user behavior, identify friction points, and deliver actionable insights that influence roadmap priorities and product outcomes. Working at the intersection of Product, Engineering, Data, and Go-to-Market teams, you'll serve as the owner of the product signal, connecting product performance to broader business results. This is a highly visible role with regular exposure to executive leadership and a unique opportunity to reimagine product analytics through the application of AI, helping transform not only what we build, but how we measure, learn, and innovate.
To keep us headed in the right direction, we&rsquo;re looking for people who understand winning is a team sport, who value and seek to learn from our team&rsquo;s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun. 
What You&rsquo;ll Do
<ul><li>Build and lead the product analytics function, establishing the strategy, KPI framework, instrumentation standards, and self-service analytics capabilities that drive data-informed product decisions.</li><li>
Partner with Product leadership to influence roadmap and investment priorities, translating user behavior, adoption trends, workflow analytics, and customer feedback into actionable recommendations.</li><li>
Own and optimize the product analytics ecosystem, leveraging Pendo and other analytics tools to design instrumentation, manage product telemetry, and deliver scalable insights across multiple products.</li><li>
Develop self-service dashboards and reporting solutions that empower Product Managers and leaders to monitor adoption, measure outcomes, and make evidence-based decisions independently.</li><li>
Embed measurement into the product development lifecycle, defining analytics and telemetry requirements for new features and releases to ensure success can be accurately tracked from launch.</li><li>
Analyze product performance and identify growth opportunities, proactively surfacing adoption challenges, user friction points, and emerging trends while measuring customer value, engagement, and business impact.</li><li>
Lead cross-functional analytics initiatives and team development, partnering with Engineering, Data, Go-to-Market, and Executive leaders to connect product outcomes to business results, advance AI-powered analytics capabilities, and build a high-performing analytics team over time.</li></ul> 
We&rsquo;re Excited to Learn More About You
Your experience may include:<ul><li>
8+ years in product analytics (or 3+ years in product/product analytics and 5+ years in business intelligence or data science roles), with at least 5 years in a leadership capacity</li><li>
Track record building high-performing product analytics teams with demonstrable impact on company strategy</li><li>
Deep, hands-on expertise with Pendo. This is non-negotiable. You should be able to design tagging strategies, build guides, configure funnels, and architect Pendo at scale across multiple products</li><li>
Strong working knowledge of SQL and BigQuery. Proficiency in Tableau for visualization and storytelling. Familiarity with data prep tools like Alteryx is a plus</li><li>
You don't need to be a data engineer, but you need to speak the language well enough to write instrumentation specs, discuss event models and schemas, and partner with data platform teams on pipeline decisions</li><li>
Experience building self-serve analytics capabilities for product teams, not just producing reports on request</li><li>
A genuine orientation toward product strategy. You see analytics as an input to what we build, not just a measure of what we built</li><li>
B2B SaaS experience, ideally in a complex, multi-product environment</li><li>
You've built AI-powered analytics workflows, agents, or projects that moved past experimentation into real use and impact, and you're energized by the idea of pushing what's possible</li></ul> 
You may have other skills or credentials, including:<ul><li>
Experience building a product analytics function from scratch rather than inheriting one</li><li>
Comfort working alongside commercial and engineering analytics teams and translating product metrics into language those audiences care about</li><li>
Experience in insurance, financial services, or other vertical software (not required, but you'll ramp faster)</li><li>
Prior experience within a Product Operations function or embedded with a product organization</li></ul> 
We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply! 
When You Join Team Applied, You Can Expect: 
A culture that values who you are and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. 
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. 
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
<ul><li>Medical, Dental, and Vision Coverage
</li><li>Holiday and Vacation Time
</li><li>Health &amp; Wellness Days
</li>A Bonus Day for Your Birthday 
<li>
</li></ul>
 
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/ 
Our targeted starting base salary in the United States for this position ranges from $164,000 - $190,000 USD. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. 
Your Security Matters:
 
Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. 
AI Utilization
We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. 
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don&rsquo;t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. 
#LI-Remote
#LI-US</div>

Director, Product Analytics & Insights

Machine Learning Engineer

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