dbt Jobs in Calgary.
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Meet Benevity
Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!
As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.
If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.
What you will do:
- Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
- Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
- Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
- Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
- Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
- Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
- Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
- Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
- Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
- Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
- Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
- Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
- Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
- Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards
What you’ll bring:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- 7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
- 4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
- Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
- Ability to think strategically while paying close attention to technical details
- Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
- Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
- Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
- High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
- Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
- Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
- Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
- Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
- Strong understanding of security principles, performance optimization, scalability, and reliability
- Demonstrated influence towards simplicity and repeatability in architecture
Nice to Have:
- Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
- Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
- Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
- Familiarity with medallion architecture patterns
- Experience in modern data platform capabilities, including:
- Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
- Metadata and governance: DataHub, Atlan or similar
Discover your purpose at work
We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …
Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.
If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …
It’s time to join Benevity. We’re so excited to meet you.
Where We Work
At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.
Join a company where DEIB isn’t a buzzword
Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.
We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.
That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.
Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.
Ready to apply?
Apply to Benevity
Analytics Engineer
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Analytics Engineer
We are seeking an experienced Analytics Engineer to join our Data Solutions team in North America. This role will combine technical expertise with strategic vision to drive the adoption and optimization of Sigma across our client base and internal teams.
Ideal candidates will be able to:
- Lead the development and implementation of visualizations that communicate complex data analyses to non-technical audiences showcasing best practices and innovative approaches using tools such as
- Establish and manage the Business Intelligence Center of Excellence, creating standards, guidelines, and training materials
- Collaborate with cross-functional teams to design and implement data solutions that align with client business objectives
- Manage the analytics engineering and visualization lifecycle, including research, proof of concepts, architecture, design, development, testing, and maintenance
- Generate visualizations that communicate complex data analyses to non-technical audiences
- Partner with client stakeholders to foster the adoption of best data management practices
- Mentor and develop junior team members
- Support sales cycles by leading scoping discussions and building proof of concept solutions
- Stay current with Business Intelligence tools and visualizations updates and industry trends, sharing knowledge across the organization
Qualifications:
- 5+ years of experience in data analytics, business intelligence, or related field
- 2+ years of experience in Sigma Computing with advanced proficiency in other tools such as PowerBI, Looker, Omni etc
- Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Azure, AWS)
- Experience with modern data stack tools such as dbt, Fivetran, Matillion, or similar
- Familiarity with Python and other programming languages used in data analysis
- Understanding of data architecture, data warehousing, and ETL/ELT processes
- Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences
- Experience in consulting or client-facing roles
- Track record of successful project delivery using Agile methodologies
Personal Qualities:
- Passionate about data and its potential to drive business value
- Strong leadership and mentoring abilities
- Proactive problem-solver with a results-oriented mindset
- Adaptable and eager to learn new technologies and methodologies
- Excellent interpersonal skills with a people-first mentality
Join us in revolutionizing how businesses leverage Sigma and analytics to drive success!
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Ready to apply?
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Software Engineer, Integrations Services
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
We're seeking a Software Engineer to help our growing backend engineering team. We’re working on an exciting new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies, at the core of what StackAdapt is built upon. We are seeking experienced software engineering candidates to help us design and build this from the ground up! Our real-time advertising bidding system handles over 3,000,000 requests per second and stores several terabytes of data every day. Our technologies include Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, RocksDB, Redshift, ScyllaDB, GraphQL and others. We're not afraid to test and try new technologies.
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada for this position.
What You'll Be Doing:
- Work with a team of engineers to build first-party and third-party data integration with external data sources
- Build and architect scalable low-latency backend systems and big data pipelines
- Provide technical guidance in designing scalable solutions and best practices
- Make a positive impact on the team's productivity and growth
- Promote software development best-practices and conduct rigorous code reviews
- Rigorously identify and solve technical challenges
- Write performance efficient and memory optimized code that can scale with the volume of data that we ingest
What You'll Bring to the Table:
- Proven track record of building scalable data pipelines and services
- Experience with working with large data in low-latency environments
- Software development experience in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company
- A strong understanding of computer science fundamentals, data structures, and algorithms
- Up to date knowledge and experience in the latest technologies, tools, and frameworks
- Experience with data engineering tools and frameworks (Spark, Flink, Apache Beam, BigQuery, Redshift, dbt, etc)
- Experience with Go and high performance databases is a plus
- Adtech or Martech experience is an asset
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Location: Calgary Headquarters (Hybrid/Remote)
Position Type: Full time, salaried
Reports to: VP, Analytics Engineering
About Orennia
Orennia provides an all-in-one platform for accurate data, predictive analytics and actionable insights across the energy transition. We drive faster capital allocation decisions and help our clients maximize returns across the solar, wind, storage, power, RNG, CCUS, clean fuels and hydrogen sectors. The technology that powers Orennia’s platform delivers an unparalleled experience, distilling information into actionable insights to give our clients a competitive edge.
As the world decarbonizes its energy stack, trillions in capital need to be deployed. Global investment in the energy transition must quadruple to over $5 trillion annually to stay on the 1.5°C pathway, according to the International Renewable Energy Agency. Without accurate data and predictive analytics, developers and investors will struggle to deploy capital efficiently and maximize returns. Orennia’s platform expedites the energy transition with effective and robust information for smarter capital allocation choices.
Why Join Orennia?
People are at the heart of the best technology companies. We’ve brought together some of the industry’s top experts and brightest minds in data orchestration, analytics, software development, and industry insights to uncover opportunities where others can’t. At Orennia, you’ll become part of a collaborative culture and do work that matters. We trust and support each other, ask hard questions and solve complex problems together. Guided by a spirit of inquiry, our team has a product-driven, continuous delivery mindset to drive our innovation forward.
The Opportunity
As a Data Engineer, you will play an integral role in the development of our products, including building out our data and analysis pipeline. The ideal candidate has an entrepreneurial mindset, high technical proficiency, and is highly adaptable. You will collaborate with cross-functional teams engaging with a variety of experts and perspectives. Our people are passionate and have a strong belief in our mission. Our efforts impact individuals and communities, all the while working toward a net-zero future. If you’re hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we’d love to hear from you.
What You’ll Do
- Analyze, design, develop, test, review, document and troubleshoot data pipeline / ELT solutions against multiple structured and unstructured data sources.
- Support our team of analysts through developing requirements and delivering solutions.
- Develop code to scrape public websites for data and perform ELT processes.
- Maintain, monitor, and support production ELT processes and respond to error and emergency issues.
Who You Are
- You have excellent knowledge and experience with Big Data concepts like data lakes, data warehouses, ELT strategies, and best practices.
- You have a strong understanding of relational and dimensional data modeling.
- You possess strong analytical and problem-solving skills.
- You have experience with DBT and SQL, and are proficent with Python.
- You have extensive experience with cloud-based data processing and warehousing technologies (Databricks, Snowflake, etc)
- You have experience with Lean and Agile development methodologies (such as Kanban or SCRUM).
- You are comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
- You have experience with other Big Data processing technologies and cloud services (AWS, GCP, Snowflake, Hive, Hadoop, MS SQL, etc.).
- You have experience with JIRA and similar organizational tools.
- You have experience building web-scraping tools against publicly available datasets (considered an asset).
- You have experience with GIS/geospatial data processing, integration, and analysis is (considered an asset).
- You have experience building or supporting data visualizations (considered an asset).
- Deep intellectual curiosity with a results-focused relentless pursuit of answers. Ability to work in a fast-paced start-up environment, embrace change and ambiguity.
- You are hungry to learn and contribute. Our organization is growing and this role is an exceptional opportunity to grow with us.
Why You’ll Love Orennia
At Orennia, you'll join a high performing, people-focused team where everyone has a role to play. We offer our regular, full-time employees a competitive total rewards package, comprehensive health, dental and vision benefits, a savings program that includes company matching, and a learning and development budget to master your craft. In addition, we offer generous time off with regular company holidays, paid vacation days and paid sick days.
We thank all applicants in advance for their interest and for taking the time to apply; however, only applicants invited for an interview will be contacted.
Orennia is an Equal Employment Opportunity (EEO) employer. We are committed to creating a diverse and inclusive workplace where all employees and applicants are treated fairly and with respect, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, marital status, veteran status, or any other characteristic protected by applicable provincial, federal, state, or local law. We believe in fostering a work environment that promotes equal opportunities for all individuals and strive to eliminate any barriers to employment and advancement. We are dedicated to providing equal opportunities in hiring, promotions, compensation, benefits, training, and all other aspects of employment. At Orennia, diversity, inclusion, and fairness are not only important values but also critical to our success as an organization. We encourage all qualified individuals to apply and join us in our mission to create a workplace that reflects the diverse communities we serve. Please contact a member of our people & culture team (hr@orennia.com) should you require accommodations.
Ready to apply?
Apply to Orennia