Note: The job is a remote job and is open to candidates in USA. Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. The Data Engineer role involves building a next-generation Data & Analytics practice to transform complex data ecosystems into engines of clarity and intelligent action.
Responsibilities
- Design, build, and maintain robust ETL/ELT pipelines (batch and streaming) that move data from diverse source systems into analytics, AI, and machine learning platforms
- Develop and optimize data architectures (data lakes, warehouses, lakehouses, marts) that support real-time and batch analytics, ML workflows, and personalization use cases
- Build automation and orchestration for data pipelines using modern workflow tools (Airflow, Prefect, dbt, Azure Data Factory, etc.)
- Partner with data architects, analysts, and client stakeholders to translate business requirements into technical designs and deliver data products with impact
- Ensure data quality, lineage, observability, and security through validation, monitoring, and governance best practices
- Optimize performance and cost-efficiency of pipelines and storage, leveraging partitioning, indexing, and query tuning
- Support cloud-first architectures across AWS, Azure, and GCP, integrating services for compute, storage, and real-time data processing
- Contribute to proofs of concept, platform migrations, and modernization efforts for client data platforms
- Mentor junior engineers and contribute to the team’s culture of technical excellence and continuous learning
Skills
- 3–4+ years of experience in building production-grade data pipelines and data systems
- Strong proficiency in SQL, Python, or Java/Scala, with experience in distributed data frameworks (Apache Spark, Presto, EMR)
- Experience with modern data platforms (Snowflake, BigQuery, Redshift, Databricks, Synapse)
- Hands-on skills with streaming technologies (Kafka, Kinesis, Pub/Sub) and real-time data ingestion
- Knowledge of data modeling principles and schema design for analytics and operational systems
- Familiarity with DevOps and CI/CD practices for data, including version control (GitHub/GitLab), testing, and deployment automation
- Exposure to data governance, security, compliance, and observability frameworks (lineage, monitoring, metadata/catalog tools)
- Ability to collaborate in a consulting/client-facing environment, balancing technical depth with pragmatic delivery
- Employs generative AI (e.g. ChatGPT, Gemini, Claude) to accelerate code development, ETL pipeline design, and troubleshooting processes
- Excellent communication skills, with the ability to explain trade-offs and design choices to both technical and non-technical stakeholders
- Experience with MLOps and preparing data pipelines for ML/AI model training, deployment, and monitoring
- Familiarity with modern data stack tools (dbt, Fivetran, Matillion, Terraform) and infrastructure-as-code practices
- Background in real-time personalization or event-driven architectures
- Exposure to NoSQL and graph databases (MongoDB, Cosmos DB, DynamoDB, Neo4j)
- Experience with containerization/orchestration platforms (Docker, Kubernetes, ECS)
- Familiarity with metadata, semantic layers, or catalog tools (e.g. Unity Catalog, Data Catalogs) and/or data observability tooling
- Prior experience in a digital experience or consulting services environment, ideally integrating data with DXP, MarTech, or Commerce platforms
- Contributions to open source, thought leadership, or participation in data/AI community events
Benefits
- Generous paid company holidays, vacation, and paid sick time to every employee starting on day one
- Top-of-the-line Health Insurance, plus monthly perks customized to meet individual employees’ needs
- Competitive compensation and comprehensive coverage for medical, dental, life, disability and an RRSP savings plan are offered to all salaried, full-time employees
- Ample company paid holidays and personal time off make having a work-life balance possible
- Remote work is a definite possibility
Company Overview
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