Join a dynamic data engineering team focused on building scalable, high-impact data solutions that help power analytics and reporting in a fast-paced environment. This fully remote opportunity offers the chance to work with modern cloud, data warehousing, and automation tools while collaborating with an international team.

Responsibilities

• Design, develop, and maintain robust data pipelines using Azure and Snowflake.
• Build and optimize SQL stored procedures and macros to support complex data transformations.
• Create logical and physical data models that help preserve data integrity and support performance.
• Develop and automate CI/CD workflows using Git and Git Actions.
• Tune data processes and troubleshoot production data issues as they arise.
• Clean, standardize, and structure large datasets for reporting and analytics use cases.
• Support code deployments to production environments and help ensure smooth releases.
• Work with Docker and Kubernetes to package and deploy applications in cloud environments.
• Collaborate with cross-functional team members to support BI and data science initiatives.
• Contribute to agile delivery efforts and participate in solution design and implementation discussions.

Skills

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 3–6 years of hands-on experience in data engineering.
• Strong proficiency in SQL and Python.
• Experience with Azure services such as Blob Storage, Functions, Data Factory, Service Principal, Containers, and Key Vault.
• Solid knowledge of Snowflake, including architecture and best practices.
• Understanding of data warehousing concepts, ETL/ELT, CDC, and SCD.
• Experience with data modeling approaches such as star schema, dimensional modeling, or data vault.
• Familiarity with Git-based CI/CD pipelines.
• Exposure to Docker, Kubernetes, Linux containers, and related open-source tools.
• Strong communication, problem-solving, and analytical skills.
• Experience working in agile or scrum environments.
• Working knowledge of access control and data masking practices.

Preferred Skills

• Experience building large-scale data pipelines in Spark.
• Knowledge of Snowflake integrations with visualization tools such as Tableau.
• Experience orchestrating data workflows with Airflow.
• Exposure to Hadoop-based processing environments.
• Terraform experience and an interest in automation.
• Familiarity with Kafka or Spark Streaming for real-time analytics.
• Background in healthcare data or large enterprise data environments.
• Experience with relational and non-relational databases.

Horizontal is committed to building an inclusive workplace where diversity, equity, and belonging are valued and respected. We welcome candidates from all backgrounds and encourage applicants who are passionate about contributing their skills in a collaborative, inclusive environment.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.