> Markdown version of [/jobs/ext/2537707-telecommute-data-engineer](https://www.wearedevelopers.com/jobs/ext/2537707-telecommute-data-engineer). 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). --- # TELECOMMUTE Data Engineer - **Company:** OVS Technologies, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Performance, Microsoft Excel, Application Programming Interfaces (APIs), Business Analytics Applications, Big Data, Cloud Storage, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Schema, File Transfer Protocol (FTP) SSL Extension, Apache Hive, JSON, Machine Learning, Performance Tuning, Cloud Services, SONAR (Symantec), SQL Databases, Extensible Markup Language (XML), Parquet, Large Language Models, Snowflake, Database Optimization, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Deployment Automation, Terraform, Data Pipelines, Databricks, Artifactory - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/33d00c7f-c124-4586-be26-c119946aacc5 ## About the Role 7 + years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions 5 + years of experience in Python 2 + years of experience in Apache Spark (PySpark/Spark SQL) 2+ years building and deploying Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus 2+ years of experience in SQL with designing complex data schemas and query performance optimization Experience with DevOps automation with Terraform. Experience with CI/CD process and tools - GitHub Actions, GIT, Artifactory, Sonar Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics or related discipline Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.) Extensive knowledge of data modelling techniques including slowly changing dimensions, aggregation, partitioning and indexing strategies Experience working with LLMs Ability to independently troubleshoot and performance tune large scale enterprise systems Excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management and engineering, with a willingness to inspire other data engineers, data scientists and analysts Solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences ## Description Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling Consume data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured) Write advanced / complex SQL with performance tuning and optimization Identify ways to improve data reliability, data integrity, system efficiency and quality Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration Mentor other data engineers and provide technical direction by teaching other data engineers how to leverage cloud data platforms ## Related Videos - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [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) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [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) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) ## Related Articles - [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) - [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) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)