> Markdown version of [/jobs/ext/3111729-data-engineer-snowflake-aws-databricks](https://www.wearedevelopers.com/jobs/ext/3111729-data-engineer-snowflake-aws-databricks). 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/AWS/Databricks

- **Company:** INSYSTECH, INC.
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $85,389.0 - $116,975.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Airflow, Amazon Web Services, Amazon S3, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Python (Programming Language), Performance Tuning, Query Optimization, Sql Optimization, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Data Pipelines, Databricks
- **Published:** September 27, 2026
- **Apply:** https://www.careerjet.com/jobad/usa673858a46ff189af90d7ec64083e251

## About the Role

* 8+ years of overall experience in Data Engineering, ETL/ELT, Data Warehousing, or Data Platform development.
 * Strong hands-on experience with Snowflake.
 * Strong hands-on experience with AWS cloud data services.
 * Strong experience with Databricks.
 * Advanced SQL skills, including complex transformations, query optimization, and performance tuning.
 * Experience designing and developing enterprise-scale ETL/ELT pipelines.
 * Experience integrating data from multiple structured and semi-structured sources.
 * Strong understanding of data warehousing, dimensional modeling, and data integration.
 * Experience with Python and/or PySpark for data engineering.
 * Experience with data-quality validation, monitoring, and production troubleshooting.
 * Experience working with high-volume enterprise datasets., * Experience with AWS S3, Glue, Lambda, Redshift, Snowpipe, Snowpark, Delta Lake, Airflow, dbt, Git and CI/CD is preferred.

## Description

* Design, develop, and maintain enterprise data solutions using Snowflake, AWS, and Databricks.
 * Develop scalable ETL/ELT pipelines for ingestion, transformation, and integration of enterprise data.
 * Build and optimize Snowflake data models, tables, views, transformations, and queries.
 * Develop Databricks notebooks and Spark/PySpark processing workflows.
 * Integrate Snowflake and Databricks with AWS-based data sources and services.
 * Optimize Snowflake workloads and Databricks processing for performance and cost efficiency.
 * Implement data-quality, validation, reconciliation, monitoring, and error-handling processes.
 * Troubleshoot pipeline failures, data discrepancies, and performance issues.
 * Collaborate with business analysts, architects, application teams, and other Data Engineers.
 * Participate in design reviews, code reviews, testing, deployment, and production support.
 * Maintain technical documentation and follow enterprise data governance and security standards.


## 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)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## 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)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)