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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** MetroNet Inc. - **Location:** Indianapolis, IN, United States (Remote available) - **Experience:** Experienced - **Salary:** $70,000.0 - $80,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Batch Processing, Cloud Computing, Data Validation, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Document-Oriented Databases, Python (Programming Language), Cloud Services, Scala (Programming Language), SQL Databases, Data Storage Technologies, Sql Optimization, Large Language Models, Snowflake, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Management, Data Pipelines, Databricks, Programming Languages - **Published:** May 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aa494721f4ef838f ## About the Role Do you have experience in Spark?, * Bachelor's degree in computer science, engineering, or a related field. * Advanced SQL skills required, experience with the use of programming languages (Python, Java, Scala) preferred. * Experience with data warehousing and data lake technologies, concepts and best practices. * Experience with and understanding dimensional modeling concepts and best practices. * Understanding of data modeling and ETL processes and best practices * Experience with cloud platforms (Azure, AWS, etc.) is required; experience with data platforms like Fabric, Databricks or Snowflake is preferred. * Strong analytical and problem-solving skills * Willingness to work as a team and independently. * Must be legally authorized to work in the U.S., * 3 - 5 years of experience as a Data Engineer or Analytics Engineer * Experience with Spark (PySpark, SQL SQL, etc.) * Experience with developing bespoke data pipelines and handling various authentication patterns ## Description * Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations. * Develop data models for use by analysts and applications from across the business using modern dimensional modeling practices to efficiently serve accurate, consistent data. * Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns. * Create efficient, performant data models to support business requirements and analytics needs. * Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability. * Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions and on-premises systems. * Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis. * Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions. * Identify and resolve data-related issues and challenges for technical and non-technical stakeholders. * Support company-wide projects ranging from server migrations to mergers and acquisitions as a data and systems expert. * Automate data processes to improve efficiency and reduce manual effort. Implement modern concepts like metadata-driven pipelines and Infrastructure-as-Code that will play a key role in a scalable, resilient data platform. * Document data processes, architecture, and workflows. * All other duties as assigned ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)