ABOUT INTERMEDIA

Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!

SKILLS & QUALIFICATIONS

• 5+ years of professional experience in data engineering, analytics engineering, or related fields
• Bachelor’s Degree in Computer Science, or equivalent field and 2+ years of experience
• Advanced SQL skills, including performance tuning and query optimization
• Expertise in Snowflake, including data warehousing concepts, architecture, and best practices
• Experience with modern data transformation tools (e.g., dbt)
• Experience building and maintaining automated ETL/ELT pipelines, with a focus on performance, scalability, and reliability
• Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and experience with environments that depend on infrastructure-as-code
• Experience writing unit and integration tests for data pipelines
• Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake schemas)
• Experience with legacy, on-premise databases such as Microsoft SQL Server is preferred
• Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools, and data federation tools is a plus
• Experience with Sql Server Reporting Services (SSRS) is beneficial

SOFT SKILLS & COLLABORATION

• Ability to work effectively in a hybrid technology environment (legacy and modern tools)
• Able to collaborate and communicate with both technical and non-technical stakeholders
• Problem-solving mindset, especially when working with incomplete documentation or legacy systems
• A pragmatic, iterative approach to balancing short-term delivery with long-term platform improvement
• Tenacity and drive to reduce technical debt and lead modernization efforts
• Passion for continuous improvement and advocating for best practices in data engineering

SKILLS, KNOWLEDGE AND EXPERTISE

• 5+ years of professional experience in data engineering, analytics engineering, or related fields
• Bachelor’s Degree in Computer Science, or equivalent field and 2+ years of experience
• Advanced SQL skills, including performance tuning and query optimization
• Expertise in Snowflake, including data warehousing concepts, architecture, and best practices
• Experience with modern data transformation tools (e.g., dbt)
• Experience building and maintaining automated ETL/ELT pipelines, with a focus on performance, scalability, and reliability
• Proficiency with version control systems (e.g., Git), working within CI/CD pipelines and experience with environments that depend on infrastructure-as-code
• Experience writing unit and integration tests for data pipelines
• Familiarity with data modeling techniques (e.g., dimensional modeling, star/snowflake schemas)
• Experience with legacy, on-premise databases such as Microsoft SQL Server is preferred
• Exposure to cloud platforms (e.g., AWS, Azure, GCP), cloud-native data tools, and data federation tools is a plus
• Experience with Sql Server Reporting Services (SSRS) is beneficial

ABOUT THE ROLE:

We’re looking for a skilled Data Engineer with deep Snowflake expertise to help modernize and scale our data platform. If you thrive in a fast-moving environment, can wrangle messy pipelines, and want to build the backbone of a cloud-first data strategy, this role is for you. You’ll work across legacy and modern systems to deliver reliable, high-quality data to customers and colleagues who depend on it every day.

RESPONSIBILITIES

• Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases
• Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions
• Develop and maintain data integration workflows across both cloud-native and on-premise systems
• Champion best practices in data architecture, modeling, and quality assurance to ensure accuracy and performance
• Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team
• Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform
• Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence
• Write and maintain documentation for data flows, transformations, and system dependencies
• Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture
• Ensure adherence to security, privacy, and compliance standards in all data engineering practices

KEY RESPONSIBILITIES

• Design, build, and maintain scalable and efficient data pipelines to support analytics, reporting, and operational use cases
• Collaborate closely with product owners, analysts, and data consumers to translate business requirements into reliable data solutions
• Develop and maintain data integration workflows across both cloud-native and on-premise systems
• Champion best practices in data architecture, modeling, and quality assurance to ensure accuracy and performance
• Participate in sprint planning, daily stand-ups, and retrospectives as an active member of a cross-functional agile team
• Identify and remediate technical debt across legacy pipelines and contribute to the modernization of the data platform
• Implement robust monitoring and alerting for pipeline health, data quality, and SLA adherence
• Write and maintain documentation for data flows, transformations, and system dependencies
• Contribute to code reviews and peer development to foster a collaborative and high-quality engineering culture
• Ensure adherence to security, privacy, and compliance standards in all data engineering practices