We respectfully request that 3rd parties refrain from contacting us regarding this posting.
Overview
LABUR is partnering with a client to hire a Senior Data Engineer who will lead the design and delivery of end-to-end data pipelines-extracting, validating, normalizing, and storing key client data for both internal teams and external clients. This role owns the full journey from raw source data to client-ready assets, building transformation logic in dbt, normalized schemas in Snowflake, and automated ingestion pipelines using Fivetran and Python. The ideal candidate thrives with minimal oversight, leverages AI-assisted development as a natural part of their workflow, and treats data as a product that clients and stakeholders can trust and depend on.
Responsibilities
- Design and maintain dbt models that implement comprehensive validation and QC rules across key entities
- Build and maintain a Medallion architecture in Snowflake-bronze ingestion, silver transformation with validation and QC, gold normalization-to deliver curated, client-ready datasets
- Develop automated pipelines using Fivetran and Python to extract data from statements and source systems, handling diverse file formats with robust error handling, reconciliation, and monitoring
- Architect Snowflake Streams and Tasks for incremental processing, keeping normalized datasets current without full reprocessing
- Leverage AI tooling across all engineering work-generating dbt rules, transformation SQL, Streamlit applications, test cases, and documentation
- Create reusable, metadata-driven patterns for validation, transformation, and deployment to scale pipeline operations efficiently
- Collaborate with product, integration, and client success teams to translate data requirements into production-ready deliverables and contribute to data governance practices including lineage, cataloguing, and access control
Qualifications
- 5+ years of hands-on data engineering experience with a demonstrated track record of pipeline and platform delivery
- Deep Snowflake expertise-data modeling, SQL optimization, Streams and Tasks for incremental processing, and Secure Data Shares
- Strong dbt proficiency-writing and maintaining transformation logic at scale, including testing and documentation
- Solid Python development skills for data processing scripts, utilities, and Streamlit applications; hands-on experience with Fivetran or equivalent ELT tooling for source system integration
- Active use of AI-assisted development embedded in daily engineering workflow, not aspirational
- Experience designing data as a product-building schemas, documentation, and access patterns for external and cross-team consumers; strong communication skills to translate technical decisions into client-friendly language
- Exposure to fund administration, private capital, or financial services data environments is a plus
Compensation
$80-$85/hr - Dependent on fit and experience