Dimensional Engineering Job at Archer Aviation (San Jose)

Dimensional Engineering Specialist – Chassis Commodities

We’re ALTEN Technology USA, an engineering company helping clients bring groundb...

Location

United States , Foster City, California

Salary:

125000.00 - 135000.00 USD / Year

ALTEN Technology USA

Expiration Date

Until further notice

Requirements

Master’s degree in Mechanical Engineering or a related field
6-8 years’ experience in dimensional management
Knowledge of basic statistical concepts and process control
Strong understanding of Variation Simulation Analysis tools
Knowledge of measurement systems and manufacturing processes
Understanding of dimensional engineering deliverables within the vehicle development process
Proficiency in standard PC tools (PowerPoint, Word, Excel)
In-depth understanding of chassis commodities within vehicle requirements
Proficiency in performing 1D/3D stack-up analyses to evaluate design feasibility
Ability to organize and present complex technical information in a clear, concise, and impactful manner across the organization

Job Responsibility

Define and establish datum schemes, tolerances, and requirements for chassis commodities
Serve as Dimensional Variation Analysis (DVA) lead for feasibility assessments
Oversee the drawing-check process for designated vehicle commodities
Define and implement measurement strategies
Approve fixtures in accordance with project requirements

New

Data And BI Engineer

Sabio is a global company and the leading independent UK Contact Centre solution...

Location

United Kingdom , London

Salary:

Not provided

Sabio Group

Expiration Date

Until further notice

Requirements

Experience in data engineering and/or BI development roles (3–6 years typical)
Strong experience with Power BI (dashboard development, DAX, modelling)
Strong SQL skills for querying and transforming data
Experience integrating Salesforce data
Experience working with ServiceNow data or APIs
Experience designing and managing ETL/ELT pipelines
Solid understanding of data modelling (star schema, dimensional modelling)
Strong analytical and problem-solving skills
Excellent communication skills with stakeholders

Job Responsibility

Design, build, and maintain scalable data pipelines across multiple systems
Develop and manage ETL/ELT processes to ensure high-quality, reliable data
Integrate data from enterprise platforms including ServiceNow, Salesforce and other systems
Implement and support modern data platforms, including Microsoft Fabric
Apply medallion architecture principles (Bronze, Silver, Gold layers) to structure and optimise data flows
Ensure data governance, security and performance standards are met
Design, develop, and maintain Power BI dashboards and reports
Build and maintain semantic models, measures and calculated logic (DAX)
Translate business requirements into scalable data models and visualisations
Optimise report performance, usability and consistency

What we offer

Pension Scheme
Remote/Flexible work
Life insurance
Private health and dental care
Cycle to work
28 days paid holiday a year- (this includes three Sabio days)
LinkedIn Learning

Fulltime

New

Sr. Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
Use programming languages like Python, Scala, or Java

What we offer

performance based incentive compensation
cash bonus(es)
long term incentives (LTI)
health, financial and other benefits

Fulltime

New

Data Engineer (Business Data)

As a Data Engineer on the R&D Team, you will help FreshBooks build and evolve hi...

Location

Canada , Toronto

Salary:

102400.00 - 128000.00 CAD / Year

FreshBooks

Expiration Date

Until further notice

Requirements

2+ years of experience working in data engineering, analytics engineering, or a related field
Experience building and maintaining data models and transformation pipelines (e.g., dbt or similar tools)
Strong SQL skills and proficiency in Python (or similar language)
Solid understanding of data modeling concepts (e.g., dimensional modeling, normalization, data warehousing patterns)
Experience working with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift)
Familiarity with orchestrators such as Airflow, GCC, Dagster, Prefect (or similar tools)
Basic understanding or exposure to streaming/event-driven systems (e.g., Pub/Sub, Kafka, Kinesis, Dataflow)
Understanding of data quality, testing, and validation practices
Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders

Job Responsibility

Architect, design, and develop clean, high-performance datasets using modern tools like dbt and BigQuery, focusing on usability and scalability for analytical consumption
Be a key contributor to our domain-oriented data architecture, defining how core business entities (e.g., customers, payments) are modeled, governed, and exposed across the organization
Build and maintain robust batch and streaming data pipelines that transform raw data into trusted, analytics-ready assets to support both near real-time and traditional use cases
Collaborate closely with Analytics, Product, and Machine Learning teams to translate complex requirements into reusable, well-governed data models and contracts
Champion data quality, reliability, and documentation by implementing rigorous testing, validation, and monitoring practices
Leverage cutting-edge tools, including AI/agentic workflows, to accelerate development, enhance productivity, and improve data exploration and lineage
Participate in code reviews, contribute to improving engineering standards, and partner with platform teams to ensure our data solutions meet ambitious performance, cost, and scalability goals

What we offer

Comprehensive health and wellness benefits
Generous time off including a flexible vacation plan
Retirement savings program or pension plan matched to your local office
Stock options for every full-time employee
Parental leave and new parent support
Annual healthy living credit
Comprehensive medical and dental benefits
Fertility and gender-affirming benefits
Peer Recognition Program
Employee Assistance Program

Fulltime

New

Business Intelligence Analyst

As a Business Intelligence Analyst, the beneficiary's job duties will include: ●...

Location

United States , Quincy

Salary:

54.85 - 55.00 USD / Hour

SAR Tech

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Information Technology, Business Analytics, Data Science, Engineering, Mathematics, Statistics, or a closely related field
Related experience in business intelligence, data analysis, reporting, dashboard development, and business data management
Strong experience working with SQL, data modeling, data warehousing concepts, and relational database management systems
Experience developing and maintaining dashboards, reports, and visualizations using business intelligence tools such as Power BI, Tableau, QlikView, or similar platforms
Strong knowledge of data analysis, data validation, data transformation, and data quality management techniques
Experience gathering business requirements, translating them into technical specifications, and delivering actionable insights to stakeholders
Experience working with large datasets and performing data extraction, cleansing, aggregation, and reporting activities
Understanding of data warehousing concepts, dimensional modeling, star schema, snowflake schema, and data governance principles
Experience using Microsoft Excel, Power BI, Tableau, SQL Server Management Studio (SSMS), and other reporting and analytics tools
Understanding of key performance indicators (KPIs), business metrics, forecasting, trend analysis, and decision-support systems

Job Responsibility

Design, develop, and maintain business intelligence solutions including dashboards, reports, and data visualizations to support organizational decision-making
Gather, document, and analyze business requirements from stakeholders and translate them into technical specifications for BI solutions
Build and maintain interactive dashboards and reports using BI tools such as Power BI, Tableau, or similar platforms to provide real-time visibility into key performance indicators (KPIs)
Conduct data quality assessments and implement data validation processes to ensure reliability of analytical outputs
Perform ad hoc analysis and present findings to business stakeholders and senior management to support strategic planning and operations
Identify trends, anomalies, and opportunities within business data and provide actionable recommendations to business leaders
Work with cross-functional teams including Finance, Operations, and Technology to understand reporting needs and deliver timely analytical solutions
Monitor and maintain existing BI infrastructure, proactively identifying and resolving performance bottlenecks and data discrepancies
Assist in the evaluation and adoption of new BI tools and technologies to improve analytical capabilities

What we offer

Medical Insurance
401(k) Retirement Plan

Fulltime

New

Architectural Graduate Pursuing Licensure

Location

United States , Salt Lake City

Salary:

Not provided

GSBS Architects

Expiration Date

Until further notice

Requirements

Masters or equivalent professional degree in Architecture from NAAB accredited university
proven ability to conceptualize, model, render and coordinate complex designs three-dimensionally
proven ability to communicate with teams and respond promptly to meet ongoing project demands
proficient in Revit, Enscape, Autocad 2D & 3D, InDesign, Photoshop, and Illustrator and proven ability to perform free-hand sketching
demonstrated ability to work on building designs, remodels and additions and produce full and complete construction document sets

Job Responsibility

Collaborate with Project Managers and teams to develop building design solutions and prepare design presentations and renderings
Prepare and help manage production of building information models and construction documents
Coordinate architectural designs, models and construction drawings with engineering consultants
Review and document compliance of designs with building codes and standards
Prepare schematic designs, design development, and construction document submittals
Assist Project Managers with construction administration duties including review of contractor submittals and site observation reports
Will occasionally travel to job sites within Utah but no overnight travel

Fulltime

New

Head of Product Management Confectionery

Location

Germany , Reichshof

Salary:

Not provided

Bühler Group

Expiration Date

Until further notice

Requirements

Bachelor's degree (or equivalent) in Engineering, Process Technology, or Business Administration
Profound experience in the confectionery industry, or any food or similar industry, is a big plus
A solid technical understanding (mechanical engineering, automation, or digital solutions) combined with strong business acumen in sales or marketing
Good knowledge of business processes as well as profound capabilities in project management
Experience in a similar position and proven track record in the industrial investment goods industry
Ability to think out of the box, working closely with global stakeholders, and to act in a multi-dimensional matrix organization
Structured, analytical, and technically well-founded working method, capable in Excel and PowerPoint
Entrepreneurial and responsible mindset, high-level of integrity, resilient and ready to go the extra mile
Strong communicator in English and German and networker and comfortable to work with various stakeholders from different cultures
Proven experience in managing and developing teams

Job Responsibility

Comprehensive development and management of our solution portfolio alongside the main thrusts of the 5 year strategy cycle, including portfolio strategy definition and the execution of an overarching product life cycle management
Define and execute the overarching product strategy and product life cycle management for our global solution portfolio (equipment, automation, and digital services)
Providing market intelligence in terms of global market trends, competitors analysis, technologies, services, with focus on future business opportunities
Continuous monitoring of solution portfolio performance and competitiveness, in alignment with other business units in order to ensure competitive full process solutions in the field of bean to bar and grain to snack
Develop market-centric business plans, including conceptual requests for new R&D projects, strategic partnerships
Build, establish and maintain an M&A radar, in close collaboration with adjacent business units and Group Business Development
Create compelling value propositions and storytelling assets to support global sales forces across all communication channels in close collaboration with cross-functional business areas and Group Marketing Communications
Act as an owner and brand ambassador of the entire solution portfolio
inspire and convince with passion and dedication
Lead, mentor and develop a multi-disciplinary team, including international reporting lines, toward a high-performance culture

What we offer

Attractive vacation entitlement
30 days of vacation per year
Company pension scheme or capital accumulation benefits
Canteen with healthy meal options
Career and personal development
Leadership programs
Flexible working options and hybrid working

Fulltime

New

Lead Machine Learning Engineer

About this role: The AI/ML Data Architecture, Engineering, and Enablement team ...

Location

United States , San Francisco; Charlotte

Salary:

119000.00 - 224000.00 USD / Year

Wells Fargo

Expiration Date

June 18, 2026

Requirements

5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience creating analytics or data science solutions in Public Cloud (GCP, AWS, Azure)
5+ years of hands on experience of Python and/or Go for building data pipelines, libraries, and automation tooling
5+ years with GCP or equivalent open source orchestration tools (Composer/Airflow/Dataflow/Beam) and CI/CD (Git, Liquibase, ) for data workloads
2+ years of hands-on experience building and implementing predictive AI models using machine learning algorithms (e.g., regression, classification, forecasting)

Job Responsibility

Design and implement scalable, secure data pipelines from internal systems of record to Google Cloud Platform services (BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer)
Leverage, extend and advise on capability roadmaps for reusable frameworks and tooling (ingestion, transformation, quality, orchestration) actively being developed by the larger organization
Enable self‑service data consumption and governance by standardizing patterns, templates, and sandbox capabilities rather than one‑off pipelines
Design data architectures for training, validation and monitoring of predictive machine learning as well as generative AI solutions
Define and implement standardized feature engineering and a common feature store with strong lineage, dictionary and high availability for models
Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies)
Develop transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines)
Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration
Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layer implementations with BigQuery or similar tools
Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

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