Sr Data Engineer

About Us Freeman is a global leader in events, on a mission to redefine live for a new era. With a data-driven approach and the industryu2019s largest network of experts, Freemanu2019s insights shape exhibitions, exhibits, and events that drive audiences to action. The integrated full-service solutions leverage a 97-year legacy in event management as well as new technologies to deliver moments that matter. Summary Weu2019re looking for an experienced and mission-driven Sr Data Engineer. The role will report directly to the Manager of Data Engineering and join the companyu2019s transformative IT team. You will be responsible for developing and working with a highly motivated group of data engineers, data architects and data contractor resources covering multiple disciplines, for refining Freemanu2019s transformative systems to meet its customer's needs and contributing to the strategic direction of the business. This position will focus on the development of data platform solutions. Sometimes it will be building upon existing solutions for the enterprise, and other times creating new complex data solutions. This position will support our IT team. It is eligible to work a hybrid schedule, generally requiring work in-office and/or show site 2-3 days per week. The ideal candidate will be based out of any of the following locations: u2022 Atlanta, GA u2022 Dallas, TX Essential Duties & Responsibilities u2022 Development, testing, change & configuration management, and automated deployment of data management solutions u2013 data ingestion, data transformation, data virtualization, data model, interfaces, databases, etc. u2022 System integration across foundational data sources, the on-premises and cloud platforms they reside within, and other third-party data solutions. u2022 Designing, building, and maintaining ETL/ELT data pipelines u2022 Working with large datasets, data lakes (lakehouse), and big data technologies, preferably cloud-based, such as Snowflake, Synapse, Databricks, or similar u2022 Use Git and Azure DevOps Pipelines for deployment automation of data solutions. u2022 Design and develop data warehouses and data pipelines within Azure and or AWS. u2022 Act as a key contributor to the design and development lifecycle of analytic applications utilizing Snowflake, AWS, Microsoft Azure and BI technology platforms. u2022 Participate in Agile ceremonies including daily stand-ups, sprint planning, retrospectives, and product demonstrations u2022 Produce efficient and elegant code that meets business requirements u2022 Author unit tests that adhere to code coverage guidelines u2022 Proactively communicate progress, issues, and risks to stakeholders u2022 Create and maintain technical documentation u2022 Performs other related duties as directed Education & Experience u2022 Bacheloru2019s degree preferred, High School Diploma or Equivalent with relevant work experience required u2022 Experience designing Data Lakes and Data Warehouses u2022 Experience with Snowflake, Azure Synapse and Azure Databricks preferable u2022 Participate in driving best practices around data engineering and software development process u2022 Understand data and query optimization, query profiling, and query performance monitoring tools and techniques u2022 Experience with a range of AWS and/or Azure services, including Infrastructure and Security related services such as Azure AD, IaaS, Containers, Storage, Networking, and Azure Security, Airflow, SNS, SQS, S3 u2022 Familiarity with designing and building data platforms supporting both batch and real-time (event-based) architecture for cloud data platforms is considered a strong plus u2022 Familiarity with big data platforms, tools, Kafka, predictive modeling, machine learning, etc. is considered a strong plus u2022 2-5 years of hands-on experience designing and implementing large-scale distributed data architecture for BI and OLTP systems u2022 2-5 years of hands-on experience designing and implementing large-scale data pipelines u2022 2-5 years of hands-on experience in Snowflake, AWS and Azure data services u2022 2-5 years of hands-on experience with data integration using ETL / ELT tools u2022 Experience with cloud-based technologies, preferably AWS and Azure, Airflow, SNS, SQS, S3, ADLS Gen 2, Data Factory, Snowflake, Databricks, Synapse Analytics preferred u2022 Experience with one or more Python parallel processing libraries preferable u2022 Experience with one or more Python data analysis libraries preferable u2022 Experience with data integration through APIs, Web Services, SOAP, and/or REST services u2022 Experience using Azure DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira, and Confluence u2022 Knowledge of SOA and Micros Services Application Architecture u2022 Ability to work in a fast-paced, collaborative team environment u2022 Excellent written and verbal communication skills and ability to express ideas clearly and concisely Travel Requirements Travel up to 25% What We Offer Freeman provides benefits that aim to empower our people and their families to thrive mentally, physically, and financially. These are a handful of the types of programs and benefits our full-time people may be eligible for. There may be some variances in specific benefits across regions. + Medical, Dental, Vision Insurance + Tuition Reimbursement + Paid Parental Leave + Life, Accident and Disability + Retirement with Company Match + Paid Time Off Diversity Commitment At Freeman, our commitment to diversity and inclusion is helping us to create not only a great place to work, but also an environment where our employees, our customers and our communities around the world can reach their goals and connect with each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status and other characteristics protected by federal, state or local laws. #LI-Hybrid

Created: 2025-11-24