Data Engineer

• 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

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

4.14.1 out of 5 stars Indiana Remote $70,000 - $80,000 a year, Pulled from the full job description

• 401(k) matching
• Life insurance
• Disability insurance, Recognized as one of the Best Places to Work, we offer a competitive total compensation package, including 80% of medical premiums paid by the company, company-paid disability and life insurance, and a 401(k)-company match. Plus, enjoy discounted services within our coverage areas and thrive in a locally owned, friendly, and fun atmosphere.

Discover more with Metronet - a company where your success builds stronger communities, and your future is limitless.

Metronet is an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of sexual orientation, gender identity, race, gender, religion, age, national origin, color, disability, or veteran status. EOE/Minority/Female/Disabled/Veteran

Pay Range: $70,000 - $80,000/yr.

At Metronet, we are committed to delivering cutting-edge technology combined with exceptional customer care. Our 100% fiber-optic technology ensures that we provide our customers with some of the fastest internet speeds in the world. As industry leaders in fiber-to-the-premise TV, voice, and internet services, we're not just focused on expanding our networks-we're focused on enriching the lives of those we serve. We value our associates because they are the cornerstone of our success. By joining the Metronet family, you're stepping into a rewarding career in technology with a company dedicated to your growth and success. We're in it to win it, and a key part of our strategy is to strengthen our business-to-business technology sales team with talented and hard-working individuals who aspire to be the next generation of technology leaders.