This is Engineering at Lattice

Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.

As a Data Platform Engineer, you will play a pivotal role in designing and maturing Lattice’s centralized data platform — starting with a modern data lakehouse built on AWS. This is an opportunity to be a founding member of a new team, build the backbone of our data ecosystem, and directly influence the intelligence and interconnectedness of our products.

You will architect and implement foundational data infrastructure that enables scalable storage, reliable data processing, and secure access across the organization. In addition to building the lakehouse itself, you will design and maintain a set of reusable connection and query utilities that empower internal stakeholders to interact with the platform efficiently and safely.

What You Will Do

• Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
• Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
• Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
• Shape data governance practices ensuring access to data is secure, compliant, and high-quality. 
• Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.

What You Will Bring to the Table

• 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project.
• Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
• Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
• Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
• Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
• Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

#LI-Remote

About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer-facing dashboards, reporting, billing, planning, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross-channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI-powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI-powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, planning, billing, API, export, and data-serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Staff Software Engineer I on Data Delivery, you will lead complex technical initiatives across backend systems, with a focus on measurement and planning. You will act as a project and domain DRI for this area: translating product requirements into technical requirements, clarifying feasibility and trade-offs, shaping milestones, identifying risks, and keeping execution moving.

You will partner closely with product, engineering, and engineering management to recommend technical options, push back on unrealistic plans when needed, and help the team make sound decisions. Your work will help build the technical foundation for reliable customer-facing insights and make new product capabilities easier to launch and scale.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI-powered advertising and marketing platform: How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing

• Domain ownership: Act as a project and domain DRI for measurement and planning initiatives within Data Delivery.
• Technical planning: Translate product requirements into technical requirements, clarify feasibility and trade-offs, shape milestones, and identify risks early.
• Execution leadership: Keep complex initiatives moving by unblocking decisions, coordinating across teams, and giving engineering leadership clear options and recommendations.
• Scalable data systems: Build reliable systems that process, organize, and serve large volumes of campaign and marketing data across StackAdapt.
• Customer-facing impact: Power reporting, measurement, planning, billing, pacing, exports, APIs, and analytics that customers and internal teams depend on.
• System design: Make thoughtful technical decisions that balance correctness, reliability, latency, freshness, cost, and long-term maintainability.
• Cross-functional partnership: Work closely with product, engineering, data science, analytics, and business teams to turn product goals into strong technical solutions.
• Operational excellence: Improve monitoring, testing, data quality, incident response, and documentation so our systems are easier to trust and operate.
• Technical mentorship: Support engineers through design reviews, code reviews, technical guidance, and clear communication of trade-offs.

What you’ll bring

• Backend and data systems experience: Strong experience building scalable services, distributed systems, data platforms, or data-intensive applications.
• Project leadership: Experience leading complex technical projects with ambiguous requirements, multiple stakeholders, and meaningful trade-offs.
• System design depth: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and operational ownership.
• Data quality mindset: Ability to reason about correctness, freshness, completeness, consistency, cost efficiency, and customer trust.
• Product judgment: Interest in building systems that support customer-facing reporting, measurement, planning, optimization, and analytics.
• Technical communication: Ability to explain decisions clearly, align stakeholders, and document important trade-offs.
• Mentorship: Experience helping other engineers grow and raising the technical bar of a team.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, planning, or high-volume event processing is a plus.

What success looks like

You will help Data Delivery build trusted, scalable, and efficient data systems that customers and internal teams rely on to understand performance and make better decisions.

In practice, this means:

• Measurement and planning initiatives have clear technical direction, realistic milestones, and strong execution across teams.
• Customers can trust the data they use to evaluate and optimize campaigns.
• Core data systems are more reliable, scalable, and easier to build on.
• New metrics, datasets, APIs, exports, and reporting capabilities can launch faster and with greater confidence.
• Product and engineering teams can build new advertising, marketing, measurement, and AI-powered capabilities more easily.
• The team makes better technical decisions because trade-offs are clearly understood and communicated.
• Engineers around you grow through your mentorship, guidance, and example.
• Data Delivery helps StackAdapt scale new product opportunities by giving customers a trusted view of performance across channels and the customer journey.

#LI-TM8

About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer-facing dashboards, reporting, billing, forecasting, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross-channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI-powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI-powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, forecasting, billing, API, export, and data-serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Senior Staff Software Engineer on Data Delivery, you will help shape the long-term technical strategy for Data Delivery and the broader Stats & Analytics domain. You will work across teams to understand how the platform fits together, identify the right technical investments, and enable new product and feature development through scalable, reliable, and well-designed data systems.

This role is ideal for someone who can operate across a broad technical surface area, connect product goals with platform architecture, and influence technical direction beyond a single team.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI-powered advertising and marketing platform:
How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing

• Technical strategy: Shape the long-term architecture and technical direction for Data Delivery and related Stats & Analytics systems.
• Cross-team leadership: Lead initiatives that span multiple teams, systems, and product areas, helping teams align on durable technical solutions.
• Platform enablement: Build and guide systems that make it easier to launch new reporting, measurement, forecasting, billing, export, and analytics capabilities.
• System design: Make high-impact technical decisions across APIs, data pipelines, data models, distributed systems, storage, serving layers, and operational patterns.
• Product partnership: Work with product, engineering, data science, analytics, and business leaders to translate company priorities into technical roadmaps.
• Technical quality: Identify systemic gaps in reliability, scalability, data quality, developer experience, and operational ownership, then drive improvements.
• Decision-making: Clarify trade-offs around correctness, latency, freshness, cost, migration complexity, maintainability, and long-term platform leverage.
• Technical mentorship: Coach and mentor engineers, including senior engineers, through architecture reviews, design discussions, and strategic technical guidance.

What you’ll bring

• Broad technical leadership: Experience shaping technical direction across teams, domains, or large platform areas.
• Backend and data systems expertise: Deep experience building scalable services, distributed systems, data platforms, or data-intensive applications.
• Strategic system design: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture.
• Cross-functional influence: Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy.
• Platform thinking: Ability to design systems that create leverage for multiple teams and make future product development easier.
• Data quality mindset: Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust.
• Business and product judgment: Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value.
• Technical communication: Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences.
• Mentorship: Experience developing senior engineers and raising engineering standards across a team or domain.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, forecasting, or high-volume event processing is a plus.

What success looks like

You will help Data Delivery and the broader Stats & Analytics domain build trusted, scalable, and efficient data systems that enable faster product development and better customer outcomes.

In practice, this means:

• Data Delivery has a clear long-term technical direction that supports StackAdapt’s product and platform growth.
• Teams can launch new reporting, measurement, forecasting, billing, export, and analytics capabilities faster and with greater confidence.
• Core data systems are more reliable, scalable, cost-efficient, and easier to evolve.
• Product and engineering teams have a stronger understanding of how Stats & Analytics systems fit together.
• Technical trade-offs are clearly understood, documented, and aligned across teams.
• Engineers around you grow through your mentorship, strategic guidance, and example.
• Data Delivery helps StackAdapt scale new advertising and marketing opportunities by giving customers a trusted view of performance across channels and the customer journey.

Drive the future of resilient, cloud-first database platforms powering mission-critical payment ecosystems.

The Role

We are seeking a highly skilled AppOps DBA to join our Technology & Engineering team. In this role, you will play a key part in developing, operationalizing, and supporting next-generation on-premises and cloud database solutions. You will provide technical leadership across Oracle, Exadata, and Aurora PostgreSQL platforms, helping to ensure high availability, scalability, security, and operational excellence across mission-critical environments.

Working closely with Development, QA, Platform Engineering, and AppOps teams, you will contribute to automation-led database operations, cloud transformation initiatives, and continuous performance optimization in a fast-paced, highly collaborative environment.

What You’ll Do

• Manage and optimize Oracle, PostgreSQL, Aurora, AWS RDS, and Exadata database environments to ensure performance, reliability, and availability.
• Lead database operationalization initiatives including automation, observability, resiliency, backup, recovery, replication, and disaster recovery strategies.
• Support and influence cloud migration programs from Oracle on-premises environments to AWS-based Oracle and Aurora PostgreSQL platforms.
• Implement CI/CD pipelines, Infrastructure as Code practices, and intelligent automation to streamline deployment and operational processes.
• Collaborate cross-functionally with engineering, product, and support teams while participating in rotating on-call production support activities.

What We’re Looking For

• Strong hands-on experience managing Oracle Exadata, AWS RDS, Oracle, and Aurora PostgreSQL database environments.
• Expertise in AWS technologies including EC2, S3, Aurora, Redshift, AWS DMS, and AWS Schema Conversion Tool (SCT).
• Deep understanding of database architecture, SQL tuning, PL/SQL, performance optimization, backup and recovery strategies, and high-availability design.
• Experience with DevOps methodologies, container platforms such as Kubernetes and Docker, and Infrastructure as Code tools including Terraform, CloudFormation, and Ansible.
• Excellent communication, collaboration, and technical documentation skills, with the ability to work effectively across business and technical teams.

Bonus Points For

• AWS Certified Database – Specialty certification.
• AWS Certified Data Engineer or AWS Certified Solutions Architect certification.
• Oracle Cloud or Oracle Database certifications.
• Experience mentoring technical teams and driving operational best practices.
• Previous experience supporting large-scale distributed production environments in financial services or highly regulated industries.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
• Retirement Savings Program – RRSP with optional employer matching contributions.
• Virtual Health Care and Employee & Family Assistance Program available to employees and dependents.
• Enhanced parental leave benefits, wellness reimbursement, and new parent support programs.
• Business Coach from Day 1 with continuous learning and development opportunities.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

#LI-hybrid

Consensys is the leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.

Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.

Whether building a dapp, an NFT collection, a portfolio, or a better future, the instinct to build is universal. Consensys inspires and champions the builder instinct in everyone by making web3 universally easy to use and develop on.

Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on. 

You’ll get to work on the tools, infrastructure, and apps that scale these platforms to onboard one billion participants and 5 million developers. You’ll be constantly exposed to new concepts, ideas, and frameworks from your peers, and as you work on different projects — challenging you to stay at the top of your game. You’ll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies. 

About the Data Team

The Data team sits within the Office of the COO and builds the infrastructure that powers analysis across the organisation. We design, run, and optimise pipelines that bring together product, marketing, and financial data at scale. Our role is to ensure data is reliable, accessible, and ready for use—helping Consensys move fast while maintaining quality and trust.

What you’ll do

• Design, build, and maintain robust data pipelines that integrate sources across the business.
• Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery.
• Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team.
• Develop and optimize data models to deliver trusted, structured, and business-ready data.
• Ensure data quality, security, and governance are embedded in all pipelines and systems.
• Orchestrate and monitor pipeline execution to ensure reliability and scalability.
• Deploy and manage infrastructure as code.
• Build and tune big data pipelines using SQL, Python, and distributed processing frameworks.
• Work with cloud data warehouses to enable insights and analytics.
• Maintain and update reporting solutions and user dashboards.
• Automate workflows and improve CI/CD pipelines to reduce manual processes.

Would be great if you brought this to the role

• Over 6 years of experience as a Data Engineer
• Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released.
• Strong SQL skills and experience with cloud warehouses (e.g.: Snowflake, BigQuery, Redshift).
• Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster).
• Comfort with Python or other scripting languages for ETL and automation.
• Familiarity with data governance and metadata management (e.g.: DataHub).
• Experience deploying and managing infrastructure as code (e.g.: Terraform, Pulumi).
• Exposure to data integration and ingestion tools (e.g.: Airbyte, Segment).
• Experience with big data and distributed processing (e.g.: Apache Spark, AWS EMR, S3).
• Exposure to open source projects
• Experience maintaining and improving reporting solutions and dashboards (e.g.: Preset/Superset, Cube.dev).
• Familiarity with CI/CD practices and automation (e.g.: GitHub Actions).
• A collaborative mindset and eagerness to work with both technical and non-technical colleagues.

Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.

It is a requirement of employment in this position that applicants will be required to submit to background checks including but not limited to employment, education and criminal record checks. Further details will be provided to applicants that successfully meet the criteria for the position as determined by the company in its sole discretion. By submitting an application for employment, you are acknowledging and consenting to this requirement.

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un.e Conseiller.ère en architecture d'intelligence d'affaires pour différents projets d'envergure. Un architecte en intelligence d’affaires joue un rôle crucial dans la conception et la mise en place de solutions informatiques pour aider les entreprises à prendre des décisions stratégiques. Il collabore avec les équipes techniques et métiers pour comprendre les besoins en données de l’entreprise et développer des systèmes pour collecter, stocker, analyser et visualiser ces données. Il est responsable de l’architecture des entrepôts de données, des outils ETL et des plateformes de visualisation, tout en veillant à la sécurité et à la conformité des données. 

RÔLE ET RESPONSABILITÉS :  

• Superviser les technologies de l’information et influencer l’architecture cible de l’entreprise
• Guider les choix technologiques dans des dossiers stratégiques
• Mettre en place le cadre de modélisation des données (processus, rôles, outils)
• Modéliser et documenter les couches de l’entrepôt de données
• Assurer la qualité et la gestion des données, en respectant le cadre de gouvernance établi
• Participer à la production et à la validation des livrables en intelligence d’affaires. 

COMPÉTENCES ESSENTIELLES 

• Capacité à communiquer et de présenter efficacement les enjeux et les solutions avec les parties prenantes 
• Expérience pratique avec les entrepôts de données et les concepts d’intelligence d’affaires  
• Expérience en gestion de projets et être en mesure d’exercer un leadership reconnu tant à l’externe qu’à l’interne dans le domaine du BI, et agir comme coach auprès des équipes de développement  

QUALIFICATIONS ET EXPÉRIENCE :   

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires 
• 7 années d'expérience dans un rôle similaire
• Détenir des compétences sur plusieurs technologies courantes du domaine: SSIS, Power BI, Talend, Datastage, Databricks, Collibra, Enterprise Architect, Microsoft EPM, JIRA, Confluence, MS Office
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un(e) Conseiller.ère en ingénierie de données pour différents projets d'envergure. Le conseiller en ingénierie de données maitrise de bout en bout les environnements de production, d’extraction, de nettoyage et d’exploitation des données. Il conçoit, construit et maintient les infrastructures de données pour assurer la collecte, le stockage, et l’analyse efficace des données au sein de l’entreprise.  
  

RÔLE ET RESPONSABILITÉS : 

• Recueillir les besoins analytiques exprimés par les utilisateurs ;
• Designer et réaliser des pipelines d'ingestion et de transformation de données ;
• Mettre en œuvre des solutions de lac de données, entrepôt de données, comptoir de données ;
• Effectuer des spécifications et de la documentation de mapping de données ;
• Contribuer au développement des méthodes et documenter les solutions techniques ;
• Assurer la performance, la sécurité et la fiabilité des infrastructures de données. 

COMPÉTENCES ESSENTIELLES 

• Compréhension des processus ETL : Expertise dans les processus d’extraction, de transformation et de chargement des données ;
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake 
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées  
• Maîtriser SSIS et le langage SQL, procédures/fonctions stockées ;
• Maîtriser les concepts et la pratique liés à la modélisation de données ;
• Maîtriser les langages de programmation Python, Java, DAX.

QUALIFICATIONS ET EXPÉRIENCE : 

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires ;
• Expérience d'au moins 7 ans et plus dans le domaine de l’intelligence d’affaires ;
• Détenir une certification à jour sur un des écosystèmes de données infonuagiques suivants : Microsoft Azure; Amazon Web Services (AWS), Snowflake, IBM Cloud  (atout)
• Connaissance des principes de développement Agile ;
• Esprit d’équipe, capacité à aider ses collègues et à partager ses connaissances au profit de l’équipe ;
• Autonomie, rigueur et orienté client. 

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

About Clutch

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee.
Named one of Canada’s Top Growing Companies two years in a row and awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca

About the role

Clutch is seeking a Senior Analytics Engineer to design, maintain, and evolve our analytics data stack. In this role, you will work closely with business teams, own critical data domains, and mentor other analytics engineers while driving data quality, governance, and modern analytics practices.

What you’ll do

• Lead the design and evolution of Clutch’s analytics data stack, including scalable ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow

• Partner with Marketing, Product, Operations, and Finance teams to define metrics frameworks, improve reporting fidelity, and build trusted data products

• Drive best practices in data engineering: testing, observability, CI/CD, and code review for production-ready analytics code

• Own critical data domains end-to-end, ensuring models and pipelines are reliable, performant, and trusted

• Mentor and guide other analytics engineers, elevating technical practices and modeling approach

• Shape Clutch’s data governance strategy by contributing to documentation, standards, and overall data culture

• Experiment with emerging tooling in orchestration, data quality, and self-serve analytics to keep Clutch at the forefront of modern data practices

What we’re looking for

• 6–8+ years of experience in analytics engineering, data analytics, or data engineering in high-growth or fast-paced environments

• Proven track record building and maintaining complex data models with dbt in a production environment (CI, testing, documentation)

• Deep SQL expertise, with experience designing scalable dimensional models and working with large, normalized datasets

• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift

• Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau)

• Strong communication skills with the ability to influence stakeholders and lead discussions around metrics and data strategy

• Strong sense of ownership, accountability, and craftsmanship for data quality, performance, and maintainability

• Experience with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transformations is a plus

• Prior mentorship or leadership experience in a data team is strongly preferred

Why you’ll love it at Clutch

• Autonomy & ownership – create your own path and own your work

• Competitive compensation and equity incentives

• Generous time off program

• Health & dental benefits

Employment Type

Existing, Permanent Full-Time

Compensation & Benefits

• Salary: $120,000 - $160,000 annually 

• Equity incentives

• Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage

• Pay decisions reflect skills, performance, market benchmarking, responsibilities, and working conditions

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

Job Summary

This role is responsible for leading the design and evolution of enterprise-grade cloud infrastructure that underpins a large-scale data platform on AWS. As a Staff Engineer, you will define architectural standards, ensure alignment with security and compliance requirements, and enable multiple teams to build and operate reliable, scalable data systems.

You will work across organizational boundaries to influence platform direction, drive adoption of best practices, and ensure the infrastructure supports high-volume data ingestion, processing, and analytics workloads. The role requires both strategic oversight and hands-on technical leadership in building resilient, cost-efficient, and observable systems in a complex enterprise environment.

Roles & Responsibilities

• This role is responsible for leading the design and evolution of enterprise-grade cloud infrastructure that underpins a large-scale data platform on AWS.
• As a Staff Engineer, you will define architectural standards.
• Ensure alignment with security and compliance requirements.
• Enable multiple teams to build and operate reliable, scalable data systems.
• You will work across organizational boundaries to influence platform direction, drive adoption of best practices, and ensure the infrastructure supports high-volume data ingestion, processing, and analytics workloads.
• The role requires both strategic oversight and hands-on technical leadership in building resilient, cost-efficient, and observable systems in a complex enterprise environment.

Required Qualifications

• Deep expertise in AWS services (e.g., S3, EKS/ECS, Lambda, RDS, Redshift, IAM, VPC) and enterprise cloud architecture
• Strong experience designing and operating large-scale data platforms (data lakes, lakehouses, batch and streaming systems)
• Advanced proficiency with Infrastructure as Code (Terraform, CloudFormation) and automation practices
• Solid understanding of distributed systems, scalability, and performance optimization
• Experience with containerization and orchestration (Kubernetes/EKS) in production environments
• Experience designing and operating API gateway, ingress, and service-to-service communication patterns in AWS environments, including authentication, authorization, throttling, routing, observability, and security controls.

Preferred Qualifications

• Strong knowledge of cloud security, identity (IAM), networking, and compliance frameworks (e.g., ISO, SOC2)
• Experience implementing observability (monitoring, logging, tracing) and reliability engineering practices
• Experience with Kong API Gateway or similar API gateway platforms is a plus
• Proficiency in at least one programming language (e.g., Python, Go, Java)
• Experience with CI/CD pipelines and platform engineering approaches for self-service infrastructure
• Ability to influence architecture across teams and operate effectively in a large, matrixed enterprise environment
• Strong communication skills, with the ability to engage both technical and non-technical stakeholders
• Mentorship and technical leadership experience, guiding engineers and setting engineering standards

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.

As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.

We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things you’ll do on the job:

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
• Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You Should:

• Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Have deep experience designing and operating production data pipelines
• Be highly proficient in SQL and experienced in data modeling
• Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understand Salesforce data models and common GTM system architectures
• Be able to translate business concepts into durable, well-structured data models
• Communicate clearly with both technical and non-technical partners

Preferred:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

Compensation:

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
• Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SN1

At Coconut Software, we’re not just building data pipelines, we’re architecting the source of truth that powers the future of financial connections. As a Senior Analytics Engineer, you will be the glue between our technical data infrastructure and our business outcomes. While your primary focus is building a world-class modeling layer in dbt and Looker, you are equally comfortable putting on your Data Analyst hat to help stakeholders uncover the "why" behind the numbers.

Your role extends beyond technical modeling; you will be a mentor, a guide, and an advocate for data best practices. You’ll help foster an inclusive, psychologically safe environment where data professionals can do their best work. By proactively improving our data modeling standards and strengthening cross-functional collaboration, you will ensure our team delivers high-quality, actionable insights that meet both user needs and business goals.

Data @ Coconut:

• We are currently in an exciting phase of growth, migrating our entire data estate from legacy Postgres and Redshift environments to a modern Databricks Lakehouse.
• Our stack is built for scale: Databricks for storage and compute, dbt for our transformation and semantic layer, and Looker (LookML) for business intelligence.
• We don't follow rigid Scrum, but we do work in an agile, iterative way, and try to continuously improve and implement what works for us.
• We work in a blameless culture and have a continuous improvement mindset.

[Note: On Call] We strive to provide service excellence in all areas, as such, roles in our Engineering department are expected to contribute to our collaborative on-call rotation, working with your team to support our systems and ensuring application availability/reliability. Each team will have their own rotation schedule.

YOU’RE FIRED UP ABOUT:

Team Elevation

• Mentor and support data analysts, data engineers and developers, fostering a collaborative and psychologically safe environment.
• Set high standards for technical excellence in SQL, dbt modeling, and LookML architecture.

Technical Delivery & Ownership

• Collaborate with other analytics engineers on the migration of legacy logic from Redshift/Postgres into performant Databricks silver and gold layers.
• Independently implement complex data models in dbt, demonstrating expertise in modularity, testing, and performance optimization on Spark.
• Own the LookML layer, ensuring our explores and dashboards are performant, intuitive, and accurate.
• Act as a "Hybrid Analyst," comfortably balancing long-term engineering projects with ad-hoc requests to support the business. 
• Translate stakeholder questions into Looker-based reports and visualizations, ensuring the business has the right insights at the right time.

Data Architecture & System Design

• Lead technical data planning through discovery, design, and release, ensuring clear documentation for data catalogs and version tracking.
• Identify opportunities for "data debt" reduction and architectural improvements in our Lakehouse and semantic layers.
• Proactively address system characteristics like latency and throughput, ensuring our data pipelines are optimized for cost and speed.

Product and Business Partnership

• Act as a subject matter expert in your data domain, contributing to business strategy to ensure we are measuring what matters.
• Provide engineering perspectives on the product roadmap, clearly communicating data feasibility and reporting limitations.

WHAT YOU BRING TO THE TEAM:

• 5+ years of applied experience in an Analytics Engineering or Data role with a solid track record of technical leadership in B2B/SaaS environments.
• Extensive experience architecting dbt projects and managing complex Looker environments.
• Solid experience using Looker (or similar BI tools like Tableau or Power BI) to build dashboards and solve complex data requests.
• Strong architectural understanding of modern data stacks, with proven experience in Databricks.
• Expertise in writing, improving, and troubleshooting complex SQL queries.
• A passion for learning and exploring how AI/LLMs (like Google Gemini) can be integrated into the data lifecycle.
• The ability to successfully collaborate cross-functionally, gathering requirements and delivering results to different teams and departments.
• Excellent interpersonal and communication skills; you can relay complex technical ideas to anyone in the building

This posting is for a vacant position. The expected hiring range for this role is $120,000 - $160,000.

The base salary for this position is listed to support candidates to align themselves within the target range. The range is grounded in comprehensive analysis of national compensation data for similar roles and company sizes in the technology sector, alongside a review of our internal compensation framework to ensure pay equity across the company. Note that ranges may evolve over time.  We aim to provide a fair offer and hire within this specified range. The final offer for this position will take a candidate's background, experience, skills, and internal equity into consideration. Top performers’ compensation will be reviewed annually, as part of our Performance Acceleration program (Performance Reviews, Compensation Reviews, etc.).  

1-2 years, full-time (fixed term opportunity)

Location - Remote (Canada)

Though we have an office based in Calgary, this is a remote position that is open to candidates across Canada. PurposeMed's office is located on the unceded and traditional territories of the peoples of the Treaty 7 region which includes the nations of the Siksika, the Piikani, the Kainai, the Îethka Stoney Nakoda which consists of the Chiniki, Bearspaw, and Good Stoney Bands, and people of the Tsuut’ina First Nation. The city of Calgary is also homeland to the historic Northwest Métis and to the Otipemisiwak Métis government, Métis Nation Battle River Territory, Nose Hill Métis District 5 and Elbow Métis District 6.

Who we hope to find:

This 1–2 year fellowship is designed explicitly as a transition-to-industry opportunity. It bridges the gap between academic training and real-world application in digital health, clinical operations, and business analytics, while maintaining the academic rigour and publication support expected of a postdoctoral position.

The Fellow will be formally affiliated with the University of Calgary and embedded within PurposeMed’s Data and Analytics team. This dual structure offers a rare professional advantage: a named academic home combined with direct industry immersion. Most uniquely, you will be supported by a three-person supervisory triad—academic, clinical, and technical—ensuring you grow in all three dimensions simultaneously through the mentorship of Dr. Ranjani Somayaji (U of C), Dr. Caley Shukalek (CMO), and our Head of Data.

In this role, you’ll make an impact by:

Elevating Patient Care & Health Equity

• Applying biostatistical methods including regression analyses, ROC curves, risk scoring, and survival analysis to real-world healthcare datasets
• Partnering with clinical, operations, and product teams to design and conduct analyses that drive decision-making and improve patient outcomes
• Participating in patient communication initiatives that make analytical findings accessible to the communities PurposeMed serves

Bridging Data Rigor and Business Strategy

• Translating complex statistical insights into actionable recommendations for clinical, ops, and leadership teams
• Collaborating in the development, validation, and communication of metrics and KPIs for clinical, operational, and business performance
• Collaborating with PurposeMed's data engineering team to extract, manage, and transform data from cloud-based healthcare data warehouses

Advancing Academic Research & Partnerships

• Contributing to peer-reviewed publications, white papers, and conference presentations in collaboration with Dr. Somayaji
• Collaborating with government agencies, non-profits, and community partners, including HIV CTN-affiliated organizations, on joint research initiatives
• Receiving structured mentorship in business analytics, product decision-making, and applied healthcare data science

We need someone who has:

• A PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field (conferred or imminent, PhD candidates with a confirmed defense timeline are welcome to apply)
• Demonstrated experience with advanced statistical analyses: regression modeling (linear, logistic, mixed-effects), ROC curves, risk score development and validation, survival analysis (Kaplan-Meier, Cox proportional hazards)
• Proficiency in R, including tidyverse and statistical modeling packages
• Working knowledge of SQL for querying healthcare data warehouses
• Excellent written and verbal communication skills and is able to present findings to clinical, operational, and non-technical audiences
• A proven ability to work independently and collaboratively in multidisciplinary teams

It would also be great if you have:

• Experience using Python (pandas, scikit-learn, statsmodels)
• Familiarity with cloud data warehouses (Snowflake, BigQuery, or Redshift) and version control (Git)
• Prior experience with real-world healthcare or clinical research datasets, particularly those with missingness, selection bias, or irregular observation times
• Exposure to BI tools (Looker, Tableau, Power BI) or R dashboard frameworks (Shiny, flexdashboard)
• Awareness of dbt or similar data transformation frameworks
• An interest in or prior experience with LGBTQ+ health, HIV/sexual health, gender-affirming care, or chronic disease management
• A prior connection to the HIV CTN, Alberta Innovates, University of Calgary research networks, or Dr. Somayaji's research group

Compensation:

• $80,000 CAD a year
• Please note that this role will be hired through the University of Calgary which provides a benefits package. This role will be contracted to PurposeMed and will not be eligible for the benefits listed below.

Do you think you could be our next Postdoctoral Fellow? We look forward to seeing your application!

#LI-Remote

The Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Base Salary Range: The expected base salary range for this position is CAD $207,000 - $272,000 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualization of data
• Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
• Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
• Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
• Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We’re looking for forward-thinkers and “quick studies” who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who’s naturally curious, independent, team-oriented, and eager to learn. We’ll give you the tools and training to be successful, and you’ll come armed with the following:

• Undergraduate degree with strong academic performance
• 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
  • Dashboarding: Tableau, Looker Studio, Power BI
  • Programming: Jupyter, VS code, Github
• Programming languages: Python, R, SQL
• Tool

• • Cloud databases
    • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
• Additionally, have knowledge in one or more of the following technologies:
  • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized 
• Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
• Ability to engage with diverse team members; strong intercultural communication skills are a must
• Advanced familiarity with Excel and PowerPoint
• Experience using Google Suite a plus
• Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualization of data
• Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
• Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
• Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
• Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We’re looking for forward-thinkers and “quick studies” who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who’s naturally curious, independent, team-oriented, and eager to learn. We’ll give you the tools and training to be successful, and you’ll come armed with the following:

• Undergraduate degree with strong academic performance
• 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
  • Dashboarding: Tableau, Looker Studio, Power BI
  • Programming: Jupyter, VS code, Github
• Programming languages: Python, R, SQL
• Tool

• • Cloud databases
    • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
• Additionally, have knowledge in one or more of the following technologies:
  • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized 
• Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
• Ability to engage with diverse team members; strong intercultural communication skills are a must
• Advanced familiarity with Excel and PowerPoint
• Experience using Google Suite a plus
• Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualization of data
• Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
• Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
• Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
• Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We’re looking for forward-thinkers and “quick studies” who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who’s naturally curious, independent, team-oriented, and eager to learn. We’ll give you the tools and training to be successful, and you’ll come armed with the following:

• Undergraduate degree with strong academic performance
• 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
  • Dashboarding: Tableau, Looker Studio, Power BI
  • Programming: Jupyter, VS code, Github
• Programming languages: Python, R, SQL
• Tool

• • Cloud databases
    • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
• Additionally, have knowledge in one or more of the following technologies:
  • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized 
• Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
• Ability to engage with diverse team members; strong intercultural communication skills are a must
• Advanced familiarity with Excel and PowerPoint
• Experience using Google Suite a plus
• Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

Overview

Instacart’s Shopping Experience team is focused on making it fast and effortless for customers to find the right items within a single retailer and complete their order with confidence. As a Senior Data Scientist dedicated to Search, you’ll own the analytics and experimentation strategy that powers how we interpret customer intent and connect it to the most relevant items and retailers.

In this role, you’ll partner closely with Product, Engineering, and Machine Learning to shape the roadmap for search relevance, ranking quality, and latency. Your work will translate complex, noisy signals into clear insights and recommendations that move the metrics that matter—search conversion, order rate, and GTV—while also strengthening downstream experiences like ads and retailer satisfaction.

About the Job

• Own core Search metrics and funnels end to end (e.g., query → impression → engagement → cart adds), including defining guardrails, monitoring performance across platforms and segments, and diagnosing conversion gaps.
• Design, run, and interpret experiments across ranking, retrieval, and search UX (e.g., relevance model changes, query understanding, result layouts), turning ambiguous or conflicting outcomes into crisp, data-driven recommendations.
• Partner with Product, Engineering, and ML to prioritize opportunities, size impact, and influence the roadmap for relevance, quality, and latency improvements that unlock measurable business outcomes.
• Build deep diagnostic analyses by query class, price point, surface, and customer lifecycle to pinpoint where and why Search underperforms and specify concrete changes that will move key outcomes.
• Connect offline model evaluation with online and business metrics by collaborating with ML partners on evaluation design, ensuring model changes reliably improve end-user experience—not just offline scores.
• Improve data quality, instrumentation, and metric definitions for Search so that teams can reason about performance with clarity, consistency, and speed.

About You

You combine rigorous analytics, strong product sense, and clear communication to drive decisive action in a fast-paced environment. You enjoy rolling up your sleeves, collaborating across disciplines, and using experimentation to uncover what truly helps customers find the right items quickly.

Minimum Qualifications

• 5+ years of experience in data science or product analytics, with a track record of impact on consumer-facing products.
• Advanced SQL proficiency, including complex joins and window functions, working with large-scale datasets in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Proficiency in Python or R for analysis, experimentation, and modeling.
• Hands-on experience designing and analyzing A/B tests end to end, including metric selection, power and sample sizing, covariate adjustment, and decision-making under uncertainty.
• Demonstrated ability to define success metrics, decompose ambiguous product problems, and deliver clear, opinionated recommendations to Product and Engineering partners.
• Excellent written and verbal communication skills; able to tailor complex analyses for both technical and non-technical audiences.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience.
• Comfort using modern AI tooling (e.g., Claude, code assistants, PromptQL) to accelerate analysis, experimentation, and communication while exercising strong judgment on quality and reliability.

Preferred Qualifications

• Experience in search relevance, ranking, recommendations, personalization, or information retrieval (e.g., e-commerce or marketplace search).
• Familiarity with NLP, embeddings, and semantic search, including how to evaluate and iterate on these techniques in production.
• Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes.
• Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects.
• Comfort working across web and native app surfaces, navigating tradeoffs between relevance, monetization, and latency.
• Proven impact improving logging, instrumentation, and metric definitions in complex data environments.

#LI-Remote

About Clutch

Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee.
Named one of Canada’s Top Growing Companies two years in a row and awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca

About the role

Clutch is seeking a Data Analytics / Analytics Engineering professional to build and maintain our analytics data stack, deliver reliable insights, and empower teams across the company. You’ll play a key role in defining metrics, building scalable data models, and enabling self-serve analytics for multiple business functions.

What you’ll do

• Build, maintain, and optimize analytics data stack, including ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow

• Collaborate with Marketing, Product, Operations, and Finance teams to define key metrics, improve reporting fidelity, and enable self-serve analytics

• Own and evolve core data models and pipelines that drive dashboards, reporting, and downstream analysis

• Apply best practices for data testing, observability, and CI/CD to ensure reliable, version-controlled, production-ready analytics code

• Partner with stakeholders to understand business needs and translate them into performant, trustworthy data products

• Contribute to internal data documentation and governance practices

• Mentor team members on data modeling, tooling, and processes, bringing a scalable, engineering-first approach to analytics

What we’re looking for

• 4–6 years of experience in analytics engineering, data analytics, or data engineering, ideally in fast-paced or high-growth environments

• Strong SQL expertise and experience with large-scale, normalized, or dimensional datasets

• Hands-on experience building data models with dbt in a production environment (CI, testing, documentation)

• Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift

• Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau)

• Proactive communicator able to collaborate with business stakeholders and technical teams

• Strong ownership and accountability for data quality, performance, and maintainability

• Familiarity with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines is a plus

Why you’ll love it at Clutch

• Autonomy & ownership – create your own path and own your work

• Competitive compensation and equity incentives

• Generous time off program

• Health & dental benefits

Employment Type

Existing, Permanent Full-Time

Compensation & Benefits

• Salary: $110,000 - $140,000 annually 

• Equity incentives

• Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage

• Pay decisions reflect skills, performance, market benchmarking, responsibilities, and working conditions

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca

Location: Remote (US or Canada)
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Us

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

About the role

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. 

This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

What you’ll do

Discovery & Prioritization

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  
  
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  
  
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  
  

Delivery & Execution

• Scope projects with realistic estimates and clear milestones that deliver value early and often.
  
  
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  
  
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  
  
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  
  
• Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  
  

AI & Technical Fluency

• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  
  
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  
  
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  
  
• Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  
  

Culture & Excellence

• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  
  
• Codify lessons into playbooks so the client builds lasting product capability.
  
  
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
  
  

Minimum qualifications

• 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  
  
• Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  
  
• Experience leading small engineering teams or pods with high accountability.
  
  
• Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  
  
• Excellent communicator who can flex for end users, engineers, and executives.
  
  
• Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  
  

• Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  
  
• Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  
  
• Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  
  
• Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
  
  
• Above all, be someone that people admire, because you’re having fun doing great work.
  
  

Why this role is different

Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come. 

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Location: Remote (US or Canada)
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Us

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

About the role

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. 

This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

What you’ll do

Discovery & Prioritization

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  
  
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  
  
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  
  

Delivery & Execution

• Scope projects with realistic estimates and clear milestones that deliver value early and often.
  
  
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  
  
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  
  
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  
  
• Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  
  

AI & Technical Fluency

• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  
  
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  
  
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  
  
• Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  
  

Culture & Excellence

• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  
  
• Codify lessons into playbooks so the client builds lasting product capability.
  
  
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
  
  

Minimum qualifications

• 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  
  
• Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  
  
• Experience leading small engineering teams or pods with high accountability.
  
  
• Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  
  
• Excellent communicator who can flex for end users, engineers, and executives.
  
  
• Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  
  

• Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  
  
• Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  
  
• Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  
  
• Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
  
  
• Above all, be someone that people admire, because you’re having fun doing great work.
  
  

Why this role is different

Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come. 

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Location: Remote (US or Canada)
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Us

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

About the role

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. 

This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

What you’ll do

Discovery & Prioritization

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  
  
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  
  
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  
  

Delivery & Execution

• Scope projects with realistic estimates and clear milestones that deliver value early and often.
  
  
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  
  
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  
  
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  
  
• Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  
  

AI & Technical Fluency

• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  
  
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  
  
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  
  
• Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  
  

Culture & Excellence

• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  
  
• Codify lessons into playbooks so the client builds lasting product capability.
  
  
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
  
  

Minimum qualifications

• 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  
  
• Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  
  
• Experience leading small engineering teams or pods with high accountability.
  
  
• Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  
  
• Excellent communicator who can flex for end users, engineers, and executives.
  
  
• Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  
  

• Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  
  
• Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  
  
• Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  
  
• Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
  
  
• Above all, be someone that people admire, because you’re having fun doing great work.
  
  

Why this role is different

Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come. 

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Location: Remote (US or Canada)
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Us

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

About the role

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. 

This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

What you’ll do

Discovery & Prioritization

• Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  
  
• Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  
  
• Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  
  

Delivery & Execution

• Scope projects with realistic estimates and clear milestones that deliver value early and often.
  
  
• Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  
  
• Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  
  
• Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  
  
• Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  
  

AI & Technical Fluency

• Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  
  
• Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  
  
• Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  
  
• Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  
  

Culture & Excellence

• Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  
  
• Codify lessons into playbooks so the client builds lasting product capability.
  
  
• Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
  
  

Minimum qualifications

• 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  
  
• Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  
  
• Experience leading small engineering teams or pods with high accountability.
  
  
• Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  
  
• Excellent communicator who can flex for end users, engineers, and executives.
  
  
• Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  
  

• Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  
  
• Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  
  
• Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  
  
• Bonus: familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.
  
  
• Above all, be someone that people admire, because you’re having fun doing great work.
  
  

Why this role is different

Most product roles optimize features in a SaaS app. This one is about embedding with real teams across architecture, engineering, and construction, understanding how they work, and building AI-powered tools that change how projects get designed and delivered in the real world. You’ll see your work land quickly, and you’ll set the playbook for how we approach product for years to come. 

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.