Data Engineer

Job Title: Data Engineer Duration: 3 months Location: Fully Remote, Canada Position Overview We are seeking six experienced Data Engineers to support the design, development, testing, deployment, and operationalization of analytics-ready data models and associated data pipelines. These engineers will work as an extension of the existing engineering organization and execute work from a jointly prioritized backlog. India resources will overlap approximately three to four hours daily with the US Pacific time zone. Key Responsibilities Design logical and physical data models. Develop analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate. Define facts, dimensions, relationships, measures, and transformations. Develop ingestion, transformation, and orchestration pipelines. Implement batch and streaming data-processing workflows. Support data replication and historical backfills. Develop data-quality controls and validation logic. Perform unit, integration, regression, and data-quality testing. Reconcile source and target datasets. Prepare production-ready code, configuration, and models. Participate in code reviews and approved release processes. Support production deployment and post-deployment validation. Troubleshoot defects and perform root-cause analysis. Create technical documentation, release notes, and operational materials. Participate in daily stand-ups, design reviews, demonstrations, and knowledge-transfer activities. Required Qualifications Five or more years of professional data engineering or distributed-systems experience. Strong production experience with batch and streaming data architectures. Experience building and maintaining production data pipelines. Experience with dimensional data modeling and star-schema design. Strong programming skills using Python, Java, and SQL. Experience with data quality, automated testing, and production troubleshooting. Experience with source control, CI/CD, code reviews, and agile engineering practices. Ability to work effectively within a distributed global engineering team. Required Technologies Apache Iceberg Apache Airflow Apache Spark Apache Kafka Apache Flink Snowflake Java and Python Amazon Web Services SQL and data modeling Expected Deliverables Completed source code, configurations, and data models. Technical and operational documentation. Approved pull requests. Testing and validation evidence. Engineering demonstrations or technical walkthroughs. Release notes and change summaries. Production deployment artifacts. Post-release validation. Knowledge transfer and documented handoff of remaining work. Regional Expectations Resources will support AMER-aligned engineering, collaboration, stakeholder discussions, technical reviews, and delivery. India resources will support development, testing, and cross-time-zone delivery, with approximately three to four hours of daily overlap with the US Pacific time zone. Applicant Notices & Disclaimers For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.The pay rate for this position is C$86.66/hr.

Design and develop analytics-ready data models and associated ingestion, transformation, and orchestration pipelines. Support the full lifecycle from development and testing to production deployment and operational maintenance.

Requires five or more years of professional data engineering experience with strong proficiency in Python, Java, and SQL. Must have expertise in dimensional modeling and production-grade batch and streaming data architectures.

• SQLPreferred
• CI/CDPreferred
• Amazon Web ServicesPreferred
• JavaPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data Modeling
• Dimensional Modeling
• Star-schema Design
• Python
• Java
• SQL
• Apache Iceberg
• Apache Airflow
• Apache Spark
• Apache Kafka
• Apache Flink
• Snowflake
• Amazon Web Services
• CI/CD
• Batch Processing
• Streaming Data Architectures

• Data & Analytics
• Technology
• Engineering
• Software
• Consulting

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available