Sr. Data Engineer | Smart Tech Link | Bellevue, WA

Smart Tech Link; Bellevue (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

Smart Tech Link in Bellevue, WA seeks a Sr. Data Engineer with 12+ years to design scalable data pipelines, Snowflake data warehouses, and Cortex Analyst workflows. You will partner with data scientists and enterprise stakeholders to deliver robust data products in a fast-paced consulting environment.

You will own architecture of data lakes, semantic models, and NL querying, while guiding junior engineers and ensuring governance and security across projects.

Qualifications

• 12+ years of professional software and data engineering experience.
• Deep Snowflake data architecture, SQL, and performance tuning.
• Hands-on Cortex AI services experience for analytics.
• Experience designing Semantic Views and Semantic Models.
• Ability to partner with data scientists and stakeholders.

Responsibilities

• Design, build, scale, and optimize data pipelines and data warehouses.
• Architect and manage Snowflake platforms, warehouses, and access control.
• Develop high-performance Python data processing scripts.
• Design and maintain Semantic Views and Semantic Models for BI.
• Integrate Cortex Analyst and AI services for NL querying.
• Collaborate with engineers, data scientists, and business teams in Bellevue.
• Perform data profiling, quality checks, and cost optimization.
• Maintain data governance, security, and documentation.
• Mentor junior data engineers across projects.

Skills

Snowflake

Python

Cortex AI

Semantic Views

Semantic Models

SQL

Data governance

Cross-functional

Mentoring

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Apache Airflow

Prefect

Dagster

GitLab CI

GitHub Actions

Job description

Position Summary:

Smart Tech Link is seeking an experienced, highly technical, and accomplished Sr. Data Engineer with 12+ years of professional engineering experience to join our client delivery team on a contract basis in Bellevue, WA. In this specialized modern data architecture and AI-driven analytics role, you will spearhead designing scalable data pipelines, building advanced Snowflake data warehouses, implementing Semantic Views and Semantic Models, and integrating cutting‑edge LLM analytics via Cortex Analyst. You will work closely with cross‑functional data scientists, analytics teams, and enterprise stakeholders to deliver robust data products. Ideal candidates bring a robust academic background in computer science or engineering, deep practical mastery of Snowflake, Python, and Cortex AI services, and immediate availability for deployment in Bellevue.

Detailed Job Description:

As a Sr. Data Engineer at Smart Tech Link in Bellevue, WA, you will take full ownership of architecting, building, and optimizing enterprise data pipelines, data lakes, and analytical data models. Your day‑to‑day responsibilities encompass developing high‑performance Python applications, managing complex Snowflake data warehouses, designing rigorous Semantic Views and Semantic Models, and implementing Snowflake Cortex Analyst workflows for natural language data querying. You will collaborate with engineering squads to ensure data governance, optimize query performance, and integrate modern cloud data architectures. Working in a fast‑paced technology consulting environment, you will drive enterprise intelligence and advanced data enablement.

Key Responsibilities:

• Design, build, scale, and optimize enterprise‑grade data pipelines, ETL/ELT workflows, and data warehousing architectures.
• Architect and manage advanced Snowflake data platforms, virtual warehouses, secure data sharing, and role‑based access control.
• Develop robust, high‑performance data processing scripts and automation workflows using Python.
• Design, implement, and maintain Semantic Views and comprehensive Semantic Models for enterprise business intelligence.
• Integrate Snowflake Cortex Analyst and generative AI services to enable natural language querying and advanced analytics.
• Collaborate closely with data scientists, analytics engineers, and business stakeholders in Bellevue, WA.
• Perform rigorous data profiling, data quality validation, performance tuning, and cost optimization across Snowflake environments.
• Ensure strict adherence to data governance, security compliance, data privacy standards, and enterprise architecture best practices.
• Maintain comprehensive technical documentation, data lineage graphs, pipeline runbooks, and semantic model definitions.
• Mentor junior data engineers and champion modern data engineering methodologies across project lifecycles.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, Software Engineering, or a related field.
• Minimum 12+ years of professional software and data engineering experience.
• Deep specialized expertise in Snowflake data architecture, SQL, stored procedures, and performance tuning.
• Strong programming proficiency in Python for data pipeline development and automation.
• Proven practical experience building and maintaining Semantic Views and complex Semantic Models.
• Hands‑on experience integrating Snowflake Cortex Analyst and AI‑driven analytics features.
• Exceptional analytical, troubleshooting, problem‑solving, and cross‑functional communication capabilities.
• Professional availability for contract employment in Bellevue, WA (Note: Excludes Green Card candidates per client preference; visa details required).

Nice‑to‑Have Skills:

• Professional certifications such as Snowflake SnowPro Advanced Architect or Data Engineer.
• Experience with modern orchestration tools (Apache Airflow, Prefect, Dagster) and CI/CD pipelines (GitLab, GitHub Actions).
• Familiarity with alternative cloud data platforms (Databricks, AWS Redshift, Google BigQuery).
• Prior working experience in tech consulting firms, financial services, or enterprise SaaS companies.
• Advanced background in vector databases, embedding generation, and Retrieval-Augmented Generation (RAG) architectures.

Recruitment Pro Tip:

When applying for senior data engineering roles focused on Snowflake and Cortex AI, ensure your resume explicitly highlights your hands‑on Semantic Models experience, Python data pipelines, and Snowflake performance tuning.