Data Engineer

WeVision LLC; California (MO); Remote; USD 90,000 - 130,000; Part time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A financial services company is seeking a Data Engineer to design, develop, and optimize modern data pipelines. Candidates need a Bachelor’s in a relevant field and 3+ years of data engineering experience, with strong skills in Python, SQL, and tools like Snowflake and DBT. This contract position offers the potential to convert to full-time. Benefits include medical and vision insurance, alongside a 401(k).

Qualifications

• 3+ years of experience in data engineering or a related role.
• Hands-on experience with Snowflake data warehousing.
• Strong communication skills and the ability to work cross-functionally.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using modern data tools.
• Develop and manage data transformations using DBT.
• Partner closely with finance and business stakeholders to translate requirements into data solutions.

Skills

Python

SQL

Data modeling with DBT

ETL/ELT pipeline creation

Workflow management with Airflow

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Snowflake

Apache Airflow

Job description

Employment Type: Contract (Initial 3 Months)

Contract Duration: 3 Months, with strong potential to convert to Full-Time

Location: Remote in CA

Industry: Financial / Consumer / Data & Analytics

Role Overview

We are seeking an experienced Data Engineer with a strong finance background to support the design, development, and optimization of modern data pipelines and analytics infrastructure. This role will begin as a 3-month consulting engagement and may convert to a full-time position based on performance and business needs.

The ideal candidate is hands-on, detail-oriented, and comfortable working in a fast-paced, data-driven environment, supporting financial reporting, analytics, and operational use cases.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using modern data tools
• Develop and manage data transformations using DBT
• Orchestrate and automate workflows using Apache Airflow
• Build and optimize data models in Snowflake for analytics and reporting
• Write clean, efficient, and well-tested Python code for data processing and automation
• Partner closely with finance, analytics, and business stakeholders to translate requirements into data solutions
• Ensure data accuracy, reliability, and performance through monitoring and validation
• Document data models, pipelines, and technical designs
• Participate in agile development, code reviews, and best-practice sharing

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 3+ years of experience in data engineering or a related role
• Strong proficiency in Python and SQL
• Hands-on experience with Snowflake data warehousing
• Practical experience using DBT for data modeling and transformations
• Experience scheduling and managing workflows with Airflow (or similar orchestration tools)
• Solid understanding of data warehousing concepts and best practices
• Strong communication skills and ability to work cross-functionally

Preferred / Nice to Have

• Experience working with financial data, accounting systems, or finance teams
• Familiarity with ERP systems such as NetSuite
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of data quality, testing, and observability frameworks
• Experience in high-growth or fast-paced environments

Benefits

• Medical insurance
• Vision insurance
• 401(k)

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