Senior Data Engineer – Modern Data & AI Platforms

Spring Venture Group

Senior Data Engineer at Spring Venture Group focused on data pipelines and AI-powered applications. Collaborate with teams to enhance data products and analytics using Snowflake.

Posted 7/22/2026full-timeRemote • Kansas, Montana • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building advanced data pipelines using Snowflake and AWS technologies, with a strong focus on Python and SQL for data engineering. Capable of mentoring engineers and collaborating with analytics teams to create robust data solutions that support business needs.

Highest-signal resume keywords

Snowflake ExpertisePython ProgrammingSQL Query OptimizationAWS Cloud ExperienceData Pipeline Construction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData Pipeline DevelopmentSQLPythonQuery OptimizationData ModelingAI/ML WorkflowsStreamlit Application DevelopmentCortex UtilizationAnalytical Data Models

Soft Skills

MentoringCollaborationProblem SolvingCommunicationBusiness Tact

Tools & Technologies

SnowflakeAWSAI-Assisted Development ToolsStreamlitCortex

Industry Keywords

Medallion ArchitectureData ApplicationsBusiness IntelligenceAdvanced AnalyticsData Management

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build advanced data pipelines utilizing the Medallion Architecture to create high-quality data sources in Snowflake.
Leverage AI-assisted development tools to reduce manual pipeline work and explore emerging Snowflake capabilities like Cortex to support AI/ML-enabled workflows.
Build Data Applications that contribute to interactive experiences, including Streamlit-based apps, transforming Snowflake from a warehouse into a full-service data platform.
Create robust data pipelines using AWS technologies to serve specific business needs.
Design and evolve analytical data models that support BI, advanced analytics, and AI workloads.
Partner directly with Analytics and Data Science teams to translate complex business questions into well-structured, modular data assets.
Write complex Python/SQL, scripts, and stored procedures to ensure 99.95% uptime and optimize query performance for downstream consumption.
Serve as a primary advisor to the Data Management team to identify opportunities for technical improvements and automation.
Act as a leader for junior and mid-level engineers, providing direction on programming best practices, query optimization, and business tact.

Requirements

What you’ll need

Bachelor's degree in Computer Science, or a related technical field.
4-5 years of practical production work in Data Engineering.
Expertise of the Python programming language.
Expertise of Snowflake
Expertise of SQL, databases, & query optimization.
Must have experience in a large cloud provider such as AWS, Azure, GCP.
Advanced at reading code independently and understanding its intent.
Advanced at writing readable, modifiable code that solves business problems.
Ability to construct reliable and robust data pipelines to support both scheduled and event based workflows.
Working directly with stakeholders to create solutions.
Mentoring junior and mid-level engineers on best practices in programming, query optimization, and business tact.

Benefits

Comp & perks

Competitive compensation
Medical, Dental and Vision benefits after a short waiting period
401k matching program
Generous paid time off program with an additional company break during the holidays
Annual Volunteer Time Off (VTO) and a donation matching program
Life Insurance
Employee Assistance Program (health & well-being on and off the job)
Rewards and Recognition
Maternity and Parental Leave
Training program and ongoing support throughout your entire Spring Venture Group career
Diverse, inclusive & welcoming culture
Optional enrollment options include HSA/FSA, AD&D, Spousal/Dependent life insurance, Short Term/Long Term Disability, Travel Assist, and Legal plans