Business Applications Engineer
Brentwood, TN

Hybrid - 3 days onsite/2 days virtual

About the Role

The Business Applications Engineer is on the Business Systems team and partners with others on the Business Systems, Data & Analytics, IT, and other Business teams (Operations, Patient Access, Billing, Clinical/Pharmacy, etc.) around the organization to develop, test, and deploy automated event/timed based processes that support our core practice management system (hosted in Azure) and our other core business systems. This role is vital to the success of enhancing current business processes to be more effective through technology.

What You'll Do

• Partner with Business Systems to lead active development of our workflow management tech processes in Azure Cloud that will drive workflows in our core practice management system, Unlimited Financials.
• Facilitate & lead unit testing of developed logic within the Business Systems unit to prepare for UAT.
• Partner with Business Systems leaders & analysts on intake requests, requirement gathering, scoping, and iterative UAT sessions to finalize the new build or enhancement.
• Develop a standardized troubleshooting, bug fixes, & optimization process internally for the existing workflow management technical processes.
• Develop processes for workflow & security monitoring to mitigate exposure & downtimes.
• Develop application downtime processes & recovery plans.
• Become the technical subject matter expert on all existing/future workflow tech process in our Azure environment for while mentoring other junior members on the team to develop their skills in the area.
• Document & enforce a strict SDLC process for our workflow management process and any other processes that fall under the role, including development, testing & deployments.
• Become the Azure Cloud Applications subject matter expert of the company beyond our workflow management process to promote other areas of optimization leveraging Azure Cloud Applications & Services.

What We're Looking For

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Cloud Computing, or a related technical field or equivalent years of relevant experience.
• Minimum of 3–5 years of experience designing, developing, or supporting applications and automated workflows within a Microsoft Azure cloud environment.
• Demonstrated experience developing and maintaining Azure-based automation and integration solutions, including services such as Azure Logic Apps, Azure Functions, and related Azure application services.
• Experience working with Microsoft SQL Server or other relational databases, including writing queries and supporting data integrations.
• Experience working with data and integration formats such as JSON and XML and integrating systems using APIs or web services.
• Working knowledge of at least one modern programming language such as Python, C#, JavaScript, F#, or Java.
• Experience participating in software development lifecycle (SDLC) processes including requirements gathering, development, testing, deployment, and troubleshooting.

Preferred Experience:

• Experience with Unlimited Financials (UF) is a plus
• Microsoft Azure Developer Associate certification (preferred or ability to obtain within a defined timeframe).
• Microsoft Azure DevOps Engineer Expert
• Microsoft Azure Solutions Architect Expert

Core Competencies:

• Analytical problem solving and troubleshooting
• Attention to detail and quality assurance in system development
• Clear technical documentation and communication skills
• Ability to collaborate with cross-functional technical and business teams
• Ability to manage multiple technical priorities and support operational needs

Functional & Technical Skills:

• Azure Cloud application development and workflow automation
• Integration of enterprise systems through APIs and automation tools
• SQL database querying and data integration
• System monitoring, troubleshooting, and performance optimization
• Documentation and adherence to structured development and deployment processes

Position Summary

The R&D Mechanical Engineer (Level I- Sr.) is responsible for collaborating or leading the design, testing and certification of innovative electrical power products in collaboration with a diverse team of electrical, mechanical and manufacturing engineers. This role requires a strong intuition of fundamental engineering concepts across multiple disciplines and an ability to effectively manage the product development process under limited direction.

Key Responsibilities

• Ensure the execution and implementation of the New Product Introduction (NPI) engineering work for assigned projects.
• Collaborate with Senior and Lead Engineers in writing detailed engineering specifications and developing concept drawings in collaboration with Sales and other stakeholders.
• Coordinate with Nationally Recognized Testing Laboratories (NRTLs) to define product evaluation and certification scope.
• Lead the creation of detailed design drawings, 3D models and bills of material for prototype equipment and test articles.
• Develop and document test plans according to the relevant standards. Common tests include full-load temperature rise, dielectric and BIL, short-circuit and withstand current, mechanical endurance, component failure, environmental, functional and seismic shake-table tests.
• Support the testing process at in-house and third-party laboratories. Travel up to 20% to support testing and other product development tasks in-person. Evaluate test results and revise designs based on empirical data and established engineering concepts.
• Characterize the electrical, thermal and mechanical performance of common design elements through testing, simulation and/or analytical methods. Develop standard design criteria and models.
• Work closely with manufacturing engineering to implement Design for Manufacturability (DFM) concepts throughout the new product development process.
• Working with Mechanical Designers,
• Conduct failure analyses of existing products and identify opportunities for continuous improvement

Qualifications

• Minimum 3 years of experience designing low and/or medium voltage power distribution equipment or related products.
• BSME or equivalent in experience.
• Experience with NRTL (UL, CSA, etc.) evaluation, testing and certification processes.
• Experience with common standards for electrical equipment (UL 891, 1558, 508A; IEEE C37.20, etc.)
• Design Experience using SolidWorks to produce 3D models is highly preferred.

Who we are

Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.

As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, designers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years.

What you will be doing

Neros is seeking a talented Firmware Engineer to contribute to the design of new peripheral systems including display systems, handsets and ground control systems. This is a hands-on, cross-functional, highly technical role that will play a critical part in the development of new products. You will be a key part of Neros' Peripherals Team.

The Firmware Engineer will take product requirements and directly participate in the development of hardware and software to implement the design. The Firmware Engineer will have the opportunity to support product development from concept, through rapid prototyping and into full scale production.

Key Responsibilities

• Work closely with electrical, mechanical and flight teams to translate mission requirements into production features
• Assist in the development of hardware architectures critical to Neros’ peripheral systems
• Develop, modify and own embedded firmware for Neros peripheral systems including headsets, handsets and future products
• Work with FPGA, MCU and/or embedded Linux systems to implement video conversions, corrections, storage, compression, streaming and other functions

You should have the following

• Bachelor’s or Master’s degree in Electrical or Computer Engineering, Computer Science or a related discipline
• 2+ years of experience
• STM32 family of microcontrollers
• Significant FPGA experience
• Strong C/C++ for embedded systems
• Strong embedded Linux skills
• Strong familiarity with peripherals and interfaces such as SPI, I2C, UARTs, DMA pipelines, ADC/DAC operation, interrupts, etc.
• Comfortable with hardware & software tools - e.g. oscilloscopes, logic analyzers, JTAG/SWD Debuggers, etc.
• Synchronization between clock domains
• Working knowledge of camera interfaces, video formats and compression standards.
• Bare-metal development experience
• Experience using Git including development workflows
• Knowledge or interest in FPV drones or UAVs
• Excellent written and verbal communication skills, with the ability to convey complex technical information to executive stakeholders clearly and effectively.

Nice to have

• Knowledge of High speed data streaming between MCU and FPGA
• FPV drone pilot license Part 107
• Soldering, 3D printing, prototyping
• RTOS experience such as FreeRTOS, Zephyr, etc.
• Gstreamer or ffmpeg video pipeline experience
• Specific experience handling video conversions in FPGAs, SoCs or other platforms

US Salary Range

$100,000 - $190,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package.

We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
• Write in Go, Java Rust or C++, amongst other languages
• Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
• Own meaningful parts of our service, have an impact, grow with the company
  
  

Who You Are:

• 6+ years of experience
• You have a BS/MS/PhD in a scientific field or equivalent experience
• You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) 
• You have been exposed to working on problems (high durability / low latency /…)
• You can get down to the low-level when needed
• You care about simple designs and performance
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-LB1

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

What You'll Do:

• Participate fully in the Solutions Engineering Academy bootcamp, mastering core product knowledge, sales methodologies, and demonstration techniques.
• Shadow and support the Commercial sales team throughout the sales cycle, including discovery calls and technical discussions, in preparation for a client-facing role.
• Conduct internal practice demonstrations of the Motive product offering, effectively showcasing our core value proposition, specifically the capabilities driven by Artificial Intelligence and Machine Learning.
• Develop expertise in Motive's integrated platform, spanning IoT hardware (in-vehicle devices, sensors), cloud-based data aggregation, and AI/ML features that automate complex operational workflows.
• Learn to successfully match customer pain points and requirements to proposed solutions, articulating clear business benefits and foundational return on investment (ROI).
• Rapidly become a subject matter expert on Motive’s current product offering and future roadmap.
• Collaborate closely with the Product Team to provide feedback from the field and assist with training on new feature releases.
• Act as a technical liaison during the training phase between the sales team and various internal organizations, including Product, Engineering, and Customer Success, ensuring seamless information flow.
• Prepare and deliver technical presentations and mock proposals that clearly articulate the value and functionality of Motive's solutions.

What We're Looking For:

• Bachelor's Degree required
• 0-1 years of professional experience. Internship experience in a pre-sales, technical support, or customer-facing role is a significant plus.
• A strong desire and ability to quickly learn complex SaaS and hardware solutions, paired with a genuine interest in experimenting with and understanding how AI/ML models and IoT devices operate in real-world environments.
• Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts in an understandable way.
• Proven analytical and problem-solving skills, with the ability to understand customer challenges and propose effective technical solutions.
• The ability to quickly connect technical solution features to tangible business outcomes and value.
• A strong desire to learn, grow, and execute in a dynamic and fast-paced environment.
• Interest in the Transportation & Logistics industry is beneficial.

About the team/role

As the Staff Knowledge Base Specialist, you will be a senior contributor to the knowledge systems that enable both Checkr's human and digital workers to resolve issues accurately and efficiently. This is a senior individual contributor role within Shared Services, responsible for leading complex, cross-functional knowledge programs that span department boundaries and directly shape the quality of agent-assisted and AI-driven resolution at scale. You will set strategy, clarify goals, and independently drive programs from initiation to measurable outcomes.

Knowledge at Checkr serves a dual audience: human agents who rely on clear, actionable content to resolve complex cases, and AI agents that retrieve, reason over, and act on that same knowledge base autonomously. This role requires mastery of both dimensions. You will design content that is clear and actionable for human agents while simultaneously being structured for accurate AI retrieval, optimized for fast search, and enriched with metadata that drives correct segmentation and response logic. You will also build, manage, and iterate on AI workforce agents that accelerate knowledge operations, treating them as members of your toolkit the same way you would a contractor or vendor.

Our ideal candidate brings a rare combination of disciplines: the precision of a technical writer, the systems thinking of an information architect, and the LLM fluency of a prompt engineer. You have hands-on experience building knowledge for RAG-based AI systems, a sharp instinct for the content gaps that cause agent escalations and model hallucinations, and the ability to drive alignment across engineering, product, quality, and operations partners. You thrive in ambiguity, mentor peers, and balance department impact with broader company objectives. You are startup-minded: comfortable building from scratch, owning ambiguous problems end to end, and leveraging AI agents as force multipliers to drive outcomes at a scale beyond what manual effort allows.

This role is based in Nashville, TN and requires periodic travel (<25%) to connect with teams across Checkr office locations in San Francisco and Denver.

What you'll do

• Design and drive Checkr's agent-facing knowledge architecture: content structure, chunking strategy, metadata schema, retrieval optimization, and decision logic encoding for both human and AI agent consumption.
• Independently lead complex, cross-functional knowledge programs from initiation to delivery, coordinating with product, engineering, quality, and operations stakeholders to set strategy and achieve program goals within planned timeframes.
• Build, deploy, and manage AI workforce agents that execute knowledge operations tasks, including content audits, metadata enrichment, quality checks, and triage workflows, owning agent performance and iterating on prompts, logic, and guardrails to improve outcomes.
• Define and enforce authoring standards that serve a dual audience: content readable and actionable for frontline BPO agents, and structured for accurate, low-latency AI retrieval.
• Design and manage analytical workflows, including AI assisted triage, to surface knowledge gaps from escalation patterns, quality scores, and conversation failure logs.
• Proactively identify and anticipate risks and gaps in the knowledge ecosystem, including content that misleads agents, creates compliance exposure, or degrades AI performance; propose and execute next steps without waiting to be directed.
• Build and maintain metadata frameworks that ensure knowledge is correctly segmented across agent types, customer tiers, product lines, and support workflows.
• Partner with AI/Product and Engineering teams to surface knowledge-side limitations affecting agent and AI resolution quality, influence prompt design, and advocate for platform enhancements.
• Identify opportunities across agent and AI performance data to drive continuous improvements to content standards, knowledge architecture, and intake processes.
• Serve as a trusted cross-functional partner to Quality, Training, Service Design, and frontline operations teams, translating frontline agent experience needs into knowledge improvements.
• Mentor Knowledge team members on agent-aware and AI-aware authoring practices, providing clear, specific feedback and coaching to build team capability.

What you bring

• 5+ years of experience in knowledge management, information architecture, technical writing, or content operations, with demonstrated progression in scope and complexity.
• 2+ years of hands-on experience building knowledge for AI systems, including chunking strategies, metadata design, retrieval accuracy improvement, and hallucination reduction in a RAG-based environment.
• Experience designing content for a dual audience: human agents who need clear, scannable, actionable content and AI systems that require precision structure for accurate retrieval and reasoning.
• Hands-on experience building and managing AI agents or automated workflows (e.g., prompt chains, decision agents, RPA sequences) to execute operational tasks at scale.
• Proven ability to independently lead complex, cross-functional programs, balancing department priorities with broader company objectives and driving outcomes without direct authority.
• Fluency with leading LLMs (GPT-4, Claude, Gemini) and Gen AI concepts including RAG, agentic AI, chain-of-thought prompting, decision flows, and vector search.
• Strong systems thinking: ability to trace how a knowledge gap, metadata error, or unclear procedure propagates into agent escalations, AI failures, and customer experience degradation.
• Analytical mindset with comfort reading quality scores, latency logs, and accuracy data to diagnose root causes and design targeted solutions.
• Track record of proactively identifying risks, leading retrospectives, and implementing process improvements that prevent recurring issues.
• Demonstrated ability to mentor and coach more junior team members; experience leading external contractors is a plus.
• Exceptional written communication: able to produce clear, actionable content for agent-facing audiences and translate complex AI-system concepts into standards and recommendations for varied stakeholders.
• Preferred: Experience with Zendesk or Salesforce knowledge bases.
• Preferred: Background in support operations or conversation design.
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you'll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

For Atwell's Civil Engineering group, you'll dive into diverse projects of varying sizes and complexities. This is your chance to shape your career in a dynamic, entrepreneurial work environment.

Responsibilities: 

• Project Collaboration: You'll collaborate closely with Project Managers, assisting them in drafting, reviewing, and finalizing preliminary and final site plans and construction documents.
• Data Maestro: Dive into project survey data to analyze existing site conditions, examining legal descriptions, ALTA surveys, easement documents, and condo documents. You'll be the go-to expert for all things data-related.
• Mentorship and Guidance: Take on a leadership role by guiding and assisting junior staff. Ensure that project-based tasks are executed accurately and efficiently, nurturing the next generation's talents.
• Technical Guru: Utilize your engineering prowess to prepare a wide range of reports, opinions, and recommendations. From hydrology/hydraulic studies to project schedules and storm sewer reports, your technical skills will shine.
• Construction Support: Provide essential construction-related services and direct junior team members. From permit applications to quantity estimates, you'll play a pivotal role in turning plans into reality.
• Engineering Software Whiz: You'll be a pro with AutoCAD Civil 3D and various engineering software packages. Your expertise will ensure that assignments are completed on time and within budget.
• Future-Ready: This role isn't just about today; it's about tomorrow. Develop your Project Manager skills through training and mentoring, with the potential to grow into a Project Manager role.

Qualifications:

• Bachelor’s Degree in Civil Engineering
• EIT preferred 
• 4 plus years of related experience

Join us at Atwell, where your career's growth potential knows no bounds.

Disclaimer 

While AI tools may support your application process, this role is built on human talent. Your judgment, experience, and character matter most, so we encourage you to showcase what makes you uniquely you.

Atwell does not accept unsolicited resumes from any 3rd party agencies. No fee will be paid to 3rd parties who submit unsolicited resumes to any Atwell employee. Resumes from approved vendors must be specifically requested by Atwell and approved by the Atwell Talent Acquisition Team.

#LI-WW1

Standard Nuclear is fueling America’s nuclear renaissance at industrial scale. Our mission is to deliver the essential building blocks of nuclear power—enabling cost-effective, safe, and secure energy for the world. 

FUNCTION 

The Licensing Engineer supports the development and execution of licensing activities for Standard Nuclear’s fuel fabrication and transportation programs. This role focuses on authoring and reviewing technical documentation, supporting safety analyses, and ensuring alignment between engineering design and regulatory requirements. 

This is a technically focused role within the licensing organization, intended for an engineer who can contribute immediately to project deliverables while developing deeper expertise in nuclear licensing. The position works closely with engineering, operations, and project teams to translate technical designs and processes into compliant, high-quality licensing documentation. 

RESPONSIBILITIES 

Technical Documentation & Analysis 

• Author and review technical documents including design criteria, functional requirements, purchase specifications, operating procedures, materials evaluation reports, code reconciliations, and similar technical work scopes 
• Develop and support Safety Analysis Reports (SARs) and associated technical sections Ensure technical accuracy, clarity, and regulatory alignment of all documentation  

Licensing & Regulatory Support 

• Support licensing activities related to NRC regulations, including 10 CFR Part 71 (Packaging and Transportation of Radioactive Material)and 10 CFR Part 70 (Domestic Licensing of Special Nuclear Material) as applicable 

• Review engineering, design, and fabrication drawings for licensing compliance  

• Assist in preparation of regulatory submittals and responses to regulatory inquiries  

• As required assist in hazard identification, accident sequence evaluation, and identification of Items Relied on for Safety (IROFS)  

• Perform regulatory gap analysis and regulatory comparison evaluations 
• Support development of licensing strategies and documentation packages  

Engineering Integration 

• Work closely with engineering teams to understand system designs, materials, and processes  

• Ensure licensing requirements are incorporated into design, fabrication, and testing activities  

• Support evaluation of design changes for licensing impact  

Project & Cross-Functional Support 

• Collaborate with multidisciplinary teams including engineering, quality, operations, and project management  

• Support project execution by contributing to work scopes, schedules, and technical deliverables  

• Assist in tracking and coordinating licensing deliverables across projects  

 Professional Development 

• Develop subject matter expertise in nuclear licensing, regulatory frameworks, and safety analysis  

• Build familiarity with applicable codes and standards, including ASME Boiler & Pressure Vessel Code  

• Contribute to continuous improvement of licensing processes and documentation quality 

PREFERRED QUALIFICATIONS 

• Bachelor’s degree in Nuclear Engineering, Mechanical Engineering, Materials Science, or a related technical field  

• 3–5 years of experience in a technical engineering role within a regulated or industrial environment  

• Strong technical writing skills with experience developing engineering documentation  

• Familiarity with NRC regulations (Part 71 preferred; Part 70 a plus)   

• Equivalent licensing experience under Department of Energy (DOE) regulations will also be considered (i.e. DOE-STD-3009, Preparation of Nonreactor Nuclear Facility Documented Safety Analysis) 

• Experience with fabrication, materials testing, or mechanical systems is a plus  

• Experience with Integrated Safety Analyses (ISA) development activities and document development in accordance with Part 70 

• Experience with various types of radioactive material packaging is a plus 

• Experience or familiarity with full scale or scale model testing is a plus  

• Familiarity with pressure vessel design and fabrication is a plus  

• Working knowledge of ASME Boiler & Pressure Vessel Code is preferred  

• Familiarity with source terms and containment analysis is a plus 

• Experience with defining allowable leakage and establishing leak rate criteria is a plus 

• Familiarity with leakage testing methods and procedures is a plus 

• Familiarity with international regulations addressing safe transport of radioactive materials, IAEA SSR-6, ADR, RID, ICAO, IATA and/or IMDG, is a plus 

• Ability to work effectively across multidisciplinary teams  

• Strong analytical and problem-solving skills 

BENEFITS 

• Health, Dental & Vision Insurance 

• Health Savings Account 

• Disability and Life Insurance 

• 401(k) Plan 

• Paid Time Off and Holidays 

WORK ENVIRONMENT 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform these functions. 

The position requires development of detailed technical documentation, coordination across multiple disciplines, and support of licensing activities in a regulated environment. Occasional interaction with laboratory or manufacturing environments may be required to support technical understanding. Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions. 

Standard Nuclear embraces equal opportunity and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. 

To conform to U.S. Government export regulations, applicants must be U.S. citizens, lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

WORKING AT THE MLC

The MLC is committed to excellence, service, transparency, and diversity. Our culture is collaborative, our people are adaptable. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

WHO WE ARE

The Mechanical Licensing Collective (The MLC) is a nonprofit organization designated by the U.S. Copyright Office to administer blanket mechanical licenses for digital music services in the United States. Our mission is to ensure songwriters, composers, and music publishers are accurately compensated for the use of their music.

Operating at the intersection of music, data, and technology, we process billions of usage records, match them to the correct musical works, and distribute royalties with accuracy and transparency. As we continue to grow, we are building scalable data platforms and workflows that power the future of digital music licensing.

THE ROLE

As a SQL Engineer / Data Analyst, you will play a critical role in designing, building, and maintaining scalable data solutions that power usage and royalty processing, reporting, and internal analytics. You’ll work closely with Data Platform, Engineering, Finance, and Member Experience teams to ensure data integrity, accessibility, and performance across systems.

This role is ideal for someone who enjoys working with complex datasets, optimizing queries for performance, and building reliable data pipelines that directly support business-critical operations.

Preference to individuals in Eastern and Central Time Zone to accommodate for UK team member collaboration.

QUALIFICATIONS

Required

· 3+ years of experience writing complex SQL queries in a production environment

· Strong experience with relational databases (e.g., PostgreSQL, Oracle)

· Proven ability to optimize queries and improve database performance

· Experience working with large, complex datasets

· Strong problem-solving skills and attention to detail

· Ability to communicate technical concepts to non-technical stakeholders

Preferred

· Experience with cloud data platforms (AWS Athena, Metabase, or similar)

· Familiarity with ETL/ELT processes and data pipeline concepts

· Experience supporting financial, royalty, or transactional data systems

· Understanding of data modeling concepts (star schema, normalization, etc.)

ESSENTIAL RESPONSIBILITIES

AS A MEMBER OF THE TECH TEAM, YOU WILL:

· Design, develop, and maintain complex SQL queries, stored procedures, and views to support business operations and reporting

· Optimize database performance through query tuning, indexing strategies, and execution plan analysis

· Partner with Data Engineers and Analytics teams to support data pipelines and transformations across platforms (e.g., AWS Athena, Metabase, or similar)

· Support royalty processing workflows by ensuring accuracy, consistency, and timeliness of data outputs

· Collaborate with cross-functional stakeholders (Finance, Rights Management, Member Experience) to translate business requirements into scalable data solutions

· Troubleshoot data discrepancies and implement long-term fixes to improve data quality

· Contribute to data governance, documentation, and best practices across the data ecosystem

· Assist in building and maintaining reporting datasets for internal and external stakeholders

· Data quality and validation frameworks to ensure accuracy

Lasko Products, a market leader in home comfort products for over 100 years, is looking to add a Manufacturing Engineer team in our Franklin, TN manufacturing facility. 

In this role, you will make an impact in the following ways:

• Project Management – Leading engineering projects to completion, timely, efficiently, and cost-effectively.
• Problem Solving - Solving operational problems using a systematic analysis process by leveraging industry standard methodologies; determining the assignable cause; implements robust, data-based solutions; identifying the systemic root causes and recommending actions to prevent problem reoccurrence.
• Continuous Improvement – Identifying and improving upon opportunities for improvement.
• Equipment/Capital Procurement - Selecting manufacturing equipment which meets the Lasko Products manufacturing specifications, as well as project or program needs.

Qualifications

To be successful in this role you will need the following:

• Four (4) year degree in Engineering
• Three (3) plus years working in a manufacturing setting, preferably with Injection Molding, Stamping Resistance Welding, and conveyor equipment

The ideal candidate will have:

• Experience with hydraulics and pneumatics; ability to troubleshoot
• Use CAD as a communication tool; Read drawings; 2D Layouts in CAD
• Understanding of PLC and Read Ladder Logic
• Exposure to sheet metal bending/forming
• Understanding of GD&T and proper use of metrology equipment.
• Proficient in problem-solving tools – 8D, 5Y, DMAIC
• PFMEA Experience
• Understands injection molding process
• Ability to lead Cross Functional teams in the review of Product and Equipment Drawings
• Robotic experience a plus