Senior Data Engineer, Contract
As a Senior Data Management Consultant, you will play a key role in designing, building, and enabling analytics solutions on modern cloud data platforms. This role focuses on solving complex data integration and modeling challenges using Snowflake and dbt, while partnering closely with clients and stakeholders to deliver trusted, high-impact analytics solutions.
This position requires a strong blend of technical expertise and consulting skills, including the ability to lead discovery, translate business needs into well-designed data models, and communicate effectively with both technical and non-technical audiences.
This is contract role through 12/31/26, with potential for extension
RESPONSIBILITIES
Analyze data from diverse source systems to understand upstream business processes, data semantics, and integration requirements
Lead discovery and requirements-gathering efforts with business and technical stakeholders to shape analytics solutions
Design and implement scalable Snowflake-based data architectures that support analytics, reporting, and downstream consumption
Develop, test, and maintain robust, performance-optimized ELT pipelines using Snowflake and dbt best practices
Build curated, analytics-ready data models that enable self-service reporting and decision-making
Apply analytics engineering best practices, including modular modeling, testing, documentation, and version control using dbt
Identify and resolve complex data integration, data quality, and performance issues across the analytics stack
Implement and maintain CI/CD workflows for data pipelines and analytics models using GitHub or GitLab
Lead or support data migrations from on-premises or legacy platforms to Snowflake
Provide technical leadership and guidance on data modeling standards, transformation patterns, and analytics architecture
Collaborate effectively with cross-functional teams using agile delivery methodologies
Support release management for data platforms, pipelines, and analytics assets
Design and manage workflow orchestration and monitoring for data pipelines
Ensure data platform security, including role-based access control and secure data sharing within Snowflake
Communicate clearly and confidently with clients, including presenting technical concepts, tradeoffs, and recommendations
QUALIFICATIONS
5+ years of hands-on experience in data engineering, analytics engineering, or data management roles
Strong experience designing and delivering analytics solutions on Snowflake, including data modeling, performance optimization, and security
Hands-on experience using dbt for analytics engineering, including model development, testing, and documentation
Experience with Streamlit a plus
Advanced SQL skills, including complex transformations, multi-layer queries, and analytical patterns
Experience developing ELT pipelines in a modern cloud data platform environment
Strong understanding of modern data warehousing, analytics engineering, and semantic modeling concepts
Experience with CI/CD tooling and version control using GitHub and or GitLab
Demonstrated ability to translate ambiguous business requirements into well-structured data models and analytics solutions
Strong consulting and client-facing skills, including stakeholder communication, expectation management, and solution ownership
Ability to explain complex technical concepts clearly to non-technical audiences
Experience working in agile, client-facing, or consulting environments
The anticipated hourly rate for this role is $70-$80 per hour. Final pay rate will be determined based on experience, qualifications and geographic location
It is our policy to provide and promote equal employment opportunity to all employees and applicants for employment following all local, state, and federal laws and regulations governing personnel activities. Under federal guidelines we are committed to a program of affirmative action for work sites in the United States.
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