How Much Does A Senior Software Engineer Earn Jobs in Usa

You found us! If you are pursuing a traffic engineering career and you have been trained in the conventional aspects of site readiness, planning and design, we've got a desk waiting for you. Sebago Technics isn't your standard flavor engineering firm, we're the most creative collective of industry specialists in the region, and we're on a mission of shaping together. You're invited!

Skills are important, but who you are is even more important. We have a deep respect for people and are most interested in working with great listeners who are excited to share fresh, new, hyper-creative ideas with people from every side of a project. Picture yourself around a table with other engineers, surveyors, landscape architects, and CAD designers who enjoy working together to design high-level projects within a dynamic and continuous conversation. At Sebago, no one works in a silo; everything we do is shaping, and we do it together with great intentionality.

We love to watch new team members' faces as they realize how much we value what they know and have learned. Everyone contributes because we all own this company together, literally. If you're on board with the culture, continue reading for a few of the high points and skills that will make this job a good fit for you and us.

As a Senior Traffic Engineer at Sebago, you will:

• Lead traffic engineering projects through planning, analysis, and implementation. Mentor project staff on technical aspects of the projects.
• Oversee the development of traffic studies and permitting for both internal and external projects.
• Assist team staff with proposal efforts, presentations, client development, and management.
• Maintain relationships with clients and agencies and ensure project schedules and budget.
• Prepare engineering calculations, technical reports, and construction drawings using industry standard guidelines.
• Analyze traffic data, including but not limited to, traffic volumes, crash data, active transportation user data, etc. Perform intersection and roadway analysis utilizing Synchro and SimTraffic
• Monitor existing signal systems. Sebago Technics has an in-house Traffic Monitoring Center where we provide on-call services to municipalities in Maine for the management of their systems.
• Oversee construction administration for traffic signal design projects.
• Lead meetings and presentations for projects.

This is a great opportunity to work on a diverse array of projects and be an integral part of our employee-owned company. We offer an excellent work environment, competitive salaries, and great benefits. We work hard at providing opportunities for professional and personal growth while working for our collective success.

We know people come to the table with varying skills and experiences. If you have all or just some of the following, we would love to chat with you.

• Civil Engineering Bachelor's Degree
• 6+ years' experience in Traffic or Transportation Engineering
• Professional Engineer (PE) License required
• PTOE and IMSA certifications are not required but are a plus
• Proficient in Engineering software such as Synchro / SimTraffic and MicroStation or AutoCAD; VISSIM experience a plus
• Strong communication skills I know, we all ask for that.
• Experience working with state or federal transportation authorities is a plus but not required

PI2c9f44d4491d-26289-31995964

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking a Lead Software Engineer – DevSecOps to support our Phantom Works Virtual Warfare Center team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization.

The DevSecOps Lead Engineer will architect and implement secure development and execution environments for the rapid prototyping and experimentation we use to answer our customers' toughest questions about future technologies and capabilities. The Virtual Warfare Center executes far-reaching analysis to address military capability gaps in and across multiple warfighting domains in the face of accelerating adversary capabilities. In DevSecOps you will be part of a team modernizing our approach to software development and enhancing our security posture.

As the Virtual Warfare Center's DevSecOps Team Lead you will lead a team of engineers designing, implementing, and monitoring software development infrastructure across multiple networks and physical locations across the United States. You will build and maintain cross-functional relationships with multiple teams to coordinate the selection, approval, deployment, and maintenance of a consistent set of software tools in all locations. Your work will guarantee our development and deployment infrastructure and processes are reliable, efficient, consistent, and secure. Your team will partner with relevant stakeholders to create processes, design cloud-based solutions, support deploying applications in cloud environments, evaluate solution performance and implement enhancements. You will guide the team through the update of a legacy software development infrastructure to use modern technologies including containers, cloud, high performance computing, AI/ML, and automation. This position requires mentoring early-career employees on DevSecOps design, implementation, maintenance, communication, and leadership skills. Your team will track required software updates and drive the process to eliminate known vulnerabilities including monitoring systems, tools, and software packages for security vulnerabilities. You will contribute to a collaborative, cross-functional team managing software security approvals and automate the integration of security into all phases of the software development lifecycle. Your work with an array of software development, IT, and cybersecurity teams will address emergent issues while improving the efficiency and usability of our systems and software products.

Position Responsibilities:

• Lead a team of engineers responsible for designing, installing, configuring, and maintaining a consistent, secure software development toolchain across multiple networks and physical locations.
• Spearhead the approval and implementation of continuous integration and continuous deployment pipelines into collateral secret and program spaces.
• Coordinate between software development, IT, and security teams on vulnerability tracking and mitigation, driving efforts forward.
• Architect and implement the transition of a multi-site, multi-network software development environment into a cloud-based approach.
• Lead trade studies and tool selection to upgrade and modernize software development processes and operational infrastructure.
• Lead implementation of best practices and methodologies for provisioning, platform scaling, configuration management, monitoring and troubleshooting
• Maintain the DevSecOps vision and roadmap, track status, and communicate progress to stakeholders.
• Mentor and coach the team, provide technical leadership, foster a culture of knowledge sharing and continuous learning, and grow their skills.

Basic Qualifications (Required Skills/ Experience):

• Bachelor's Degree in an engineering discipline or 17+ years equivalent related experience
• 10+ years' experience with software engineering
• 3+ years' experience with scripting languages such as Bash or Python
• 3+ years' experience containerized software development
• 3+ years' experience supporting DevSecOps lifecycle
• Experience with Agile development practices using continuous integration and deployment
• 3+ years of experience performing automation, implementation and deployments in both Windows and Linux systems
• Active Secret clearance

Preferred Qualifications (Desired Skills/Experience):

• Active Top Secret SCI clearance
• Experience with gitlab
• Experience with Jenkins
• Experience with JIRA
• 3+ years' experience supporting cloud development environments
• Experience with cloud computing in classified environments
• CompTIA Security+
• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.

Travel: 10%

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range for Lead: $136,850 - $185,150

Applications for this position will be accepted until Mar. 25, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Flight Software Engineer at Reliable Robotics, you will automate the operation of highly complex aircraft systems. Our Flight Software teams are deeply involved in all aspects of the development and certification of the Reliable Robotics autonomy stack, and play a central role in bringing our aircraft to life.

Responsibilities

As a Flight Software Engineer, you will develop highly deterministic C++ software in a bare metal environment that works with sensors & control systems, robustly handles system faults, and integrates with other vehicle subsystems. You'll drive requirements and implement excellent unit tests. You'll also have the opportunity to work directly with flight hardware in the lab and on the plane, plan flight testing, and watch your code fly an aircraft.

Basic Success Criteria

• B.S. Computer Science, Engineering, or equivalent experience

• 2+ years professional programming experience in C or C++

• Professional experience developing software for high performance embedded or safety critical applications

Preferred Criteria

• Experience using advanced C++ language features in production code

• Thorough understanding of computer architecture, operating systems and networking

• Ability to work in a self-directed manner in a fast-paced environment

• Experience developing software for aerospace applications

• Excellent written and verbal communication skills

Flight Software links together the mechanical, avionics, algorithmic, and embedded worlds to actually make the airplane fly. The core nature of the role offers the opportunity to interact with teams and components across the entire automated aircraft and to specialize in the areas most exciting to you.

The estimated salary range for this position is $155,000 to $215,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers, and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $155K - $215K

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Title: Sr. Manufacturing Engineer (NPI)

Location: Greater Bethel Area, CT (100% Onsite)

Employment Type: Direct Hire

Status: Accepting Candidates

About the role

Seeking a Senior Manufacturing Engineer to support New Product Introduction (NPI) initiatives within a regulated medical device manufacturing environment. This role focuses on engineering scalable manufacturing processes, supporting product launches, and leading validation activities to ensure production readiness.

Key Responsibilities

• Serve as Manufacturing Engineering lead on NPI programs from concept through production transfer.
• Design and optimize scalable manufacturing processes, tooling, and fixtures.
• Program and troubleshoot CNC machining operations (Milling, Multi-Axis, Wire EDM).
• Lead IQ/OQ/PQ validation, TMV studies, and equipment commissioning activities.
• Create and maintain manufacturing documentation in compliance with ISO 13485 and internal QMS.
• Drive continuous improvement initiatives to enhance quality, safety, and efficiency.

Qualifications

• 5+ years of Manufacturing Engineering experience (flexible to 3–4 years).
• Hands-on experience with IQ/OQ/PQ validation in regulated manufacturing.
• Strong exposure to CNC programming (G-code/M-code preferred).
• Experience supporting high-volume manufacturing processes.
• Knowledge of ISO 13485 and structured QMS environments.
• Must be able to work onsite 100%.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Senior Analytics Engineer

Overview

A rapidly growing consumer products company is seeking a Senior Analytics Engineer to help build and scale a modern data platform. This role sits at the intersection of analytics engineering, data infrastructure, and business intelligence, enabling teams across the organization to make data-driven decisions.

The company operates a U.S.-based manufacturing environment and a strong direct-to-consumer ecommerce platform. As the organization continues to scale, the data function is being built from the ground up, creating an opportunity for a hands-on engineer to shape the architecture, pipelines, and analytics capabilities of the business.

Responsibilities

Data Platform Development

• Build, maintain, and optimize data models using SQL and DBT
• Support migration and development of a centralized data warehouse environment
• Design scalable data architecture and transformation layers
• Improve reliability, performance, and maintainability of analytics infrastructure

Data Pipeline Engineering

• Develop and maintain ETL/ELT pipelines using modern data tools
• Expand and optimize ingestion pipelines from operational systems
• Write custom workflows and integrations using Python
• Ensure data quality, monitoring, and pipeline stability

Business Intelligence & Analytics

• Develop and maintain dashboards and reporting solutions
• Enable self-service analytics for business teams
• Work directly with stakeholders to translate business needs into data solutions
• Support analytics across key functions including:
• Supply chain
• Ecommerce performance
• Marketing analytics
• Sales performance
• Forecasting and operations

Data Governance & Reliability

• Establish trusted datasets and consistent data definitions
• Improve data documentation and discoverability
• Troubleshoot data issues and analytics requests across teams
• Ensure long-term scalability of the analytics ecosystem

Required Qualifications

• 4+ years of experience working with SQL
• 4+ years of experience using DBT
• 4+ years of experience building dashboards and BI solutions
• Experience building and managing data pipelines and ETL workflows
• Strong understanding of data warehousing concepts
• Ability to work independently in a fast-paced, evolving environment
• Strong communication skills and experience collaborating with non-technical stakeholders

Preferred Qualifications

• Experience working with BigQuery
• Experience building dashboards in Looker
• Pythonfor data workflows or ingestion pipelines
• Experience with ecommerce analytics
• Experience analyzing Shopify or similar commerce platforms
• Experience working with manufacturing or supply chain data

Ideal Candidate Background

Strong candidates often come from:

• Ecommerce organizations
• Manufacturing companies
• Businesses operating direct-to-consumer sales models
• Mid-sized companies where individuals have broad ownership of the data stack

Experience analyzing

• Ecommerce sales performance
• Supply chain operations
• Marketing attribution
• Product and operational data

Work Environment

• Hybrid work model with 2–3 days per week in office
• Collaboration with a small technical team including IT and data science
• Fast-paced environment with significant opportunity to influence the company’s data strategy
• High level of autonomy and ownership over technical solutions

What We're Looking For

• Curious and evidence-driven
• Comfortable working with ambiguity
• Self-directed and proactive
• Passionate about learning new technologies
• A strong problem solver who enjoys building scalable systems