Spring Venture Group

Senior Data Engineer- Modern Data & AI Platforms

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado23 jul 2026

Países elegibles2 países aceptados

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

TanzaniaEstados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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.
Architect replacements for legacy systems with a focus on data governance and maintainable documentation, including flowcharts and clear code comments.
Support after hours and weekend releases from our internal Software Development teams.
Actively participate in code review and weekly technicals with another more senior engineer or manager.
Assist departments with time-critical SQL execution and debug database performance problems.

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.

Experience building or supporting Streamlit applications or similar data-driven apps.
Familiarity with Snowflake Openflow for data ingestion and orchestration.
Exposure to Snowflake Cortex or AI/ML-enabled analytics workflows.
Background in analytics engineering (dbt-style modeling, semantic layers, metrics design).

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

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