Job Title: Data Engineer III Location: 100% Remote Duration: Full Time- Permanent role Job Description We are seeking a Data Engineer III to build, own, and optimize end-to-end data pipelines across modern data platforms. This role will partner closely with stakeholders across Marketing, Finance, Sales, Legal, HR, and Product to translate business needs into scalable data solutions. The ideal candidate is comfortable working independently, communicating technical concepts clearly, and delivering production-grade data engineering solutions with a strong focus on reliability, quality, and governance.
Key Responsibilities
Build and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks, selecting the right tool for each problem with guidance from senior engineering leadership when needed.
Design, maintain, test, document, and optimize dbt models that support the team’s semantic layer.
Partner with stakeholders across Marketing, Finance, Sales, Legal, HR, and Product to scope data requirements and translate them into pipeline specifications.
Contribute to Terraform-managed infrastructure for Fivetran connectors, GCP resources, and AWS components.
Follow and contribute to engineering standards for testing, CI/CD, code reviews, observability, and documentation.
Independently resolve complex ETL and data quality issues, escalating only when architectural tradeoffs are involved.
Monitor data pipelines for SLA compliance and participate in incident response as needed.
Apply data governance practices to ensure proper handling of PII and compliance with business-unit-specific requirements.
Communicate technical concepts clearly to non-technical stakeholders and advise on feasibility, tradeoffs, and implementation options.
Required Qualifications
4+ years of professional experience as a Data Engineer, with demonstrated ownership of production data pipelines. Candidates with 3+ years of strong, relevant experience may also be considered.
Hands-on experience contributing to a production dbt project.
Experience with CI/CD practices for data pipelines.
Familiarity with Terraform or another infrastructure-as-code tool.
Strong SQL and Python skills, including the ability to write production-grade code, debug complex pipelines, and optimize queries.
Hands-on experience with a cloud data warehouse; Snowflake is strongly preferred, while BigQuery or equivalent platforms are acceptable.
Experience with orchestration and ingestion tools, including Airflow and Fivetran.
Experience with Databricks and Spark for custom modeling and transformation workloads.
Experience working with AWS services such as S3, Lambda, and Airflow, as well as GCP services such as BigQuery.
Ability to work autonomously, scope ambiguous requests with stakeholders, and deliver solutions with minimal oversight.
Strong communication skills, including the ability to explain technical tradeoffs to non-technical audiences.
Security-first mindset with familiarity in PII handling, access controls, and data governance practices.
Experience working in a technology company or fast-paced product environment.
Demonstrated career progression and increasing ownership over data engineering deliverables.
Experience with Dagster or equivalent orchestration tools is a plus.
Broad end-to-end engineering experience before specializing in data engineering.
Applicant Notices & Disclaimers
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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$43888.00/Yearly.
