Senior Data Engineer, Snowflake

Data Ideology, LLC

Sr. Data Engineer for Data Ideology focusing on Snowflake solutions delivery and client collaboration.

Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data solutions using Snowflake, with strong capabilities in data pipeline optimization and integration with BI tools. Proven experience in mentoring and collaborating with cross-functional teams to deliver client-focused data engineering solutions.

Highest-signal resume keywords

Snowflake ExpertiseData Pipeline OptimizationSQL ProficiencyPython DevelopmentCloud Platform Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingData ArchitecturePerformance TuningData SharingSnowparkSnowpipeDbtSQLPython

Soft Skills

Excellent CommunicationCollaboration

Tools & Technologies

SnowflakeDbtCloverDXAWSAzureGCPAirflowFivetranPower BILooker

Certifications & Qualifications

SnowPro Certification

Industry Keywords

Data SolutionsCost OptimizationWorkload ManagementClient-Facing DeliveryGovernance PlatformsAI/ML Frameworks

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformInformaticaPythonSQL

About the role

Key responsibilities & impact

Design and build scalable, secure, and cost-effective data solutions in Snowflake.
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
Contribute to internal accelerators, frameworks, and proofs of concept.
Mentor junior engineers and support knowledge sharing across the team.

Requirements

What you’ll need

7+ years of experience in data engineering, data warehousing, or data architecture.
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
Strong SQL and Python skills, with production experience using dbt.
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
Prior experience in a consulting or client-facing delivery role.
Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
Preferred - SnowPro Certification

Benefits

Comp & perks

Eligible for Medical
Dental
Vision
401(k)
training and certification reimbursement
flexible time off in accordance with company policies