Description
Staff Data Engineer
Team: Engineering
Location: Canada, United States
Commitment: Full-Time
Workplace Type: remote
About Cority
Cority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust, automate workflows that make people more impactful, and deliver personalized insights and expertise to improve decision-making. While most solutions respond to risks one at a time, Cority helps prevent them across environmental management, employee health, safety, quality, and sustainability. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide. Cority has received many awards for its strong employee culture and outstanding business performance. To learn more, visit www.cority.com.
Cority is looking for an experienced Staff Data Engineer to lead the design, development, and optimization of our data infrastructure and analytics platforms. As a technical leader, you'll architect scalable data solutions, mentor engineering teams, and drive strategic decisions around our data technology stack. This role requires deep technical expertise combined with the ability to translate business needs into robust data systems that support analytics, machine learning, and operational workloads.
Key Responsibilities:
You will lead the end-to-end data architecture, designing and implementing data pipelines, warehouses, and lakes that handle petabyte-scale datasets. Leading cross-functional initiatives, you'll collaborate with product teams to enable data-driven decision-making across the organization. Your role includes establishing best practices for data quality, governance, and security while mentoring senior engineers and conducting technical reviews. You'll evaluate and adopt emerging technologies, optimize performance and cost efficiency, and ensure our data infrastructure scales with business growth.
Required Qualifications:
We're looking for someone with 10+ years of software engineering experience, including 5+ years specifically in data engineering roles, with at least 2 years in a staff or principal capacity. You should have proven experience architecting and operating production data systems at scale, along with deep expertise in distributed systems, database internals, and data modeling. You must have demonstrable experience making significant architectural contributions to a large-scale data platform, with measurable business impact such as improved performance, reduced costs, enhanced data qualty, or enabled new capabilities. Strong programming skills in Python, C#, or Java are essential, as is experience with both SQL and NoSQL databases. You'll need excellent communication skills to work with both technical and non-technical stakeholders, and a track record of leading technical initiatives from conception through delivery.
Technical Qualifications:
- Core Data Storage & Processing
- Knowledge of data lake architectures and lakehouse patterns
- Apache Iceberg or Delta Lake for table formats with ACID transactions
- PostgreSQL for operational databases and metadata stores
- ClickHouse or Apache Druid for real-time analytics and OLAP queries
- Familiarity with real time processing frameworks (Apache Flink, Spark Streaming)
- Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer)
- AWS (S3, Redshift, EMR, Glue, Kinesis) or Azure alternatives
- Terraform or Pulumi for infrastructure as code
- Kubernetes for containerized workload orchestration
- Apache Airflow or Nifi for workflow orchestration
- dbt for transformation and analytics engineering
- Airbyte, Fivetran, or custom connectors for data ingestion
- Kafka or Pulsar for real-time streaming
- Great Expectations or similar for data quality testing
- Apache Atlas or Datahub for metadata management and lineage
- Git-based workflows for version control and CI/CD
- Experience with modern BI tools (Looker, Tableau, Power BI)
- Familiarity with embedded analytics frameworks (cube-js, Superset, Metabase)
- Python (pandas, PySpark), Java for JVM-based data processing
- C# to understand data structure from different applications
- SQL and understanding of columnar formats (Parquet)
Cloud Platforms & Infrastructure
Data Integration & Orchestration
Data Quality & Governance
Analytics & Business Intelligence
Programming
Nice to Have:
- Experience designing HIPAA-compliant data systems (encryption at rest/in transit, audit logging, access controls, BAA management)
- Familiarity with data privacy regulations (GDPR, CCPA)
- Experience with vector and graph databases (PostgreSQL pgvector, Neo4j)
- Experience with ML infrastructure (MLflow, feature stores)
- Understanding of cost optimization for cloud data platforms
- Experience with multi-tenant Data Warehouse or Data Lake.
The ideal candidate will have hands-on experience with several technologies from each category rather than superficial knowledge of everything, along with the ability to evaluate and adopt new tools as the ecosystem evolves.
WHAT’S IN IT FOR YOU?
· An opportunity to work in a values-driven, performance oriented, dynamic and growth focused culture
· We support a remote working environment with a one-time home office allowance and subsidized monthly internet allowance
· Competitive health benefits, dental plans, and retirement savings plan (RRSP, 401K plan etc.)
· Annual fitness allowance
· Mental health support provided through access to Calm Premium meditation app and access to Talkspace
· Access to Udemy, internal training programs, annual training allowance and certifications (if applicable), and High Talent Programs
Cority is committed to a diverse and inclusive work environment. Cority is an equal opportunity employer and does not discriminate based on race, nationality, gender, gender identity, sexual orientation, protected veteran status, age, disability or any other legally protected status. For applicants who would like to request for accommodation please send an email to [email protected].
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