Senior Data Engineer - Snowflake & Agentic AI | Remote/Hybrid

Valtech; United States; Hybrid; USD 110,000 - 155,000; Full time

Benefits offered by this job

Remote/hybrid options

Career development

Learning resources

Location-based benefits

Job summary

Valtech is seeking a Senior Data Engineer based in the United States with strong Databricks and Azure experience. You will design and maintain scalable data pipelines, collaborate with cross-functional teams, and drive data reliability across batch and streaming workloads.

Must have SQL, Python, Spark, Kafka, and cloud services; familiarity with Snowflake and PostgreSQL; ability to optimize queries over huge datasets.

Qualifications

• Degree in engineering, mathematics, statistics, CS or related quantitative field.
• Experience executing data engineering, analytics, and/or data science projects.
• Strong SQL, Python, and data pipeline design required.

Responsibilities

• Demonstrate deep knowledge of the data engineering domain to build and support batch and real-time, highly available data pipelines.
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.
• Provide consultation and lead the implementation of complex programs.
• Develop and maintain documentation relating to all assigned systems and projects.
• Tune queries running over billions of rows of data running in a distributed query engine.
• Perform root cause analysis to identify permanent resolutions to software or business process issues.

Skills

SQL

Python

Spark

Kafka

AWS

Terraform

FastAPI

PostgreSQL

Snowflake

C# reading

Agentic AI

Education

Bachelor’s or Master’s degree in quantitative field

Tools

Snowflake

SQL Server

PostgreSQL

AWS

Terraform

Azure

Job description

Valtech is seeking a Senior Data Engineer based in the United States with strong Databricks and Azure experience. You will design and maintain scalable data pipelines, collaborate with cross-functional teams, and drive data reliability across batch and streaming workloads.

Must have SQL, Python, Spark, Kafka, and cloud services; familiarity with Snowflake and PostgreSQL; ability to optimize queries over huge datasets.