> Markdown version of [/jobs/ext/1791545-data-engineer-snowflake-datastage](https://www.wearedevelopers.com/jobs/ext/1791545-data-engineer-snowflake-datastage). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer (Snowflake/DataStage)

- **Company:** Marchon Eyewear, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $58,800.0 - $101,850.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Unit Testing, Microsoft Azure, Code Review, Continuous Integration, Data Cleansing, Data Integration, Extract Transform Load (ETL), Data Vault Modeling, Data Virtualization, Data Warehousing, IBM InfoSphere DataStage, Fault Tolerance, Github, Meta-Data Management, Oracle Data Service Integrator, Performance Tuning, Scrum Methodology, Standard Sql, DataOps, SQL Databases, SQL Server Integration Services, Teradata SQL, Workflow Management Systems, Informatica Powercenter, Netezza, Snowflake, Information Technology, AWS Glue, Integration Frameworks, Apache Kafka, Event Store, Video Streaming, Api Design, Stream Processing, Software Version Control, Data Pipelines, Mulesoft, Confluent, Amazon Redshift
- **Published:** July 3, 2026
- **Apply:** https://vsp.wd1.myworkdayjobs.com/VSPVisionCareers/job/Remote-US/Data-Engineer--Snowflake-DataStage-_R-9701

## About the Role

Bachelor's degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience

Effective written and verbal communication skills with the ability to gather requirements and effectively collaborate with teammates and business partners

4+ years' experience working in a development team providing analytical capabilities

4+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT/data pipeline design

SQL coding experience

Familiarity with agile development environments (Scrum, Kanban) with a focus on Continuous Integration and Delivery

Previous experience using a data integration platform (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and familiarity with data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.

Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is also beneficial

Capable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic design

Exhibits the traits of a proactive, self-driven contributor, who values continual learning and the adoption of new technology

For roles that are remote (i.e., Work From Home (WFM)) or hybrid (i.e., partial onsite at a VSP location and WFM), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment

Preferred Skills

Strong experience with Snowflake (data modeling, performance tuning, optimization) or certification

Hands-on experience with IBM DataStage

Understanding of Data Vault modeling (Raw Vault, Business Vault, Information Marts)

Experience with workflow orchestration tools (e.g., Apache Airflow)

Proficiency with GitHub (version control, CI/CD, code reviews)

Familiarity with DataOps practices

Experience with streaming technologies (e.g., Kafka/Confluent) and APIs (e.g., MuleSoft, Axway)

Exposure to cloud platforms (AWS, Azure, or GCP)

#LI-VISIONCARE

## Description

The Data Engineer creates and maintains data pipelines for key data and analytics capabilities in the enterprise. This position works in collaboration with analytics and data warehousing staff, DBAs and subject matter experts to create reliable processes that load targeted data with integrity and quality, enabling it for strategic use by the business.

Collaborate within an agile, multi-disciplinary team to develop optimal data integration and transformation solutions

Document and analyze data requirements (functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives

Profile data to assess the accuracy and completeness of data sources and work with business partners to mitigate issues

Build and maintain data pipelines for using appropriate tools and practices in development, test, and production environments. Design with modularity to leverage reuse of code wherever possible

Create data mappings, programs, routines, and SQL to acquire data from legacy, web, cloud, and purchased package environments into the analytics environment

Use a mix of ELT, ETL, data virtualization, and other methods to optimize the balance of minimal data movement against performance

Maintain metadata management processes and documentation

Monitor data quality to detect emerging issues and consult with the team to create transformation rules to cleanse against defined rules and standards

Participate in code reviews and unit testing to optimize performance and minimize issues

Job Specifications


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)
- [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)