Data Engineer - Python/Airflow Developer - Remote

Overview

We are HALO! We connect people and brands to create unforgettable, meaningful, and lasting experiences that build brand engagement and loyalty for our over 60,000 clients globally, including over 100 of the Fortune 500. Our nearly 2,000 employees and 1,000 Account Executives located in 40+ sales offices across the United States are the reason HALO is #1 in our $25B industry.

Halo Branded Solutions is seeking a highly skilled and experienced Data Engineer to join our team. The successful candidate will be responsible for designing, developing, and maintaining data integrations to expand our enterprise data warehouse and integrate data in other platforms. This role requires a strong background in data/software engineering, DevOps, and Agile methodologies.

In Short

• Design and implement data integration solutions using tools such as Apache Airflow, Informatica, Python, and Snowflake.
• Develop and maintain ETL processes to ensure data is accurately and efficiently loaded into the data warehouse.
• Develop error handling, alerting, monitoring, and testing processes into data pipelines.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Manage and optimize data pipelines for performance and scalability.
• Implement and manage DevOps practices in the Data Engineering environment, including version control with BitBucket and continuous integration/continuous deployment (CI/CD) with Jenkins.
• Ensure data quality and integrity through rigorous testing and validation.
• Work with databases and SQL to extract, transform, and load data.
• Integrate data from various APIs into the data warehouse and other data platforms.
• Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong understanding of data warehousing concepts and best practices, especially with Snowflake.
• Experience with ETL tools and processes.
• Proficiency in Python and SQL.
• Hands-on experience with DevOps tools and practices.
• Familiarity with Agile methodologies and tools like Jira.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Experience with AWS.

Benefits

• Opportunity to work with cutting-edge technologies and shape the future of data architecture in our organization.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Professional development and growth opportunities.