SMG is a leading experience management (XM) provider, serving restaurants, retailers, and other multi-location consumer businesses.
The company has a rich 30-year history and pairs an enterprise software platform with professional services to help brands generate new revenue, grow existing revenue, reduce detractors, and drive operational efficiencies.
SMG has recently acquired Bulbshare, enabling clients to collaborate with consumers quickly and effectively for insights, ideation, and advocacy.
The Senior Data Engineer will lead by example in data engineering practices, demonstrating expertise in technologies such as Python, SQL, dbt, Snowflake, Airflow, and Kafka.
The role involves inspiring and mentoring data engineering teams, fostering a growth mindset, and leading initiatives to rebuild the team.
Responsibilities include building deployment pipelines for data workflows, collaborating with leadership on data engineering vision, and driving efforts to refactor and rebuild aging data infrastructure.
The Senior Data Engineer will champion modern data engineering practices, advocate for tidy code practices, and collaborate cross-functionally to solve complex technical challenges.
The position requires leading data engineering teams to deliver significant initiatives while managing timelines, resources, and risks effectively.
Requirements:
A Bachelor's degree in computer science, engineering, or a related field, or equivalent experience is required.
Candidates must have extensive experience (4+ years) in data engineering, focusing on leading teams and initiatives.
Proven expertise in various data engineering technologies, including SQL, Python, dbt, Snowflake, Apache Spark, Kafka, and Airflow is essential.
A strong understanding of modern data engineering practices, including data modeling, ETL processes, data quality assurance, and data pipeline orchestration is necessary.
Experience with data engineering tooling and platforms such as Databricks and Snowflake is highly desirable.
Excellent leadership and communication skills are required, with a record of leading collaborative and high-performing data engineering teams.
Candidates must demonstrate the ability to quickly learn and adapt to innovative data technologies as needed.
The ability to thrive in a dynamic, fast-paced environment with a growth mindset and a commitment to continuous learning is essential.
Demonstrated ability to drive change and influence stakeholders at all levels of the organization is required.
Benefits:
SMG offers a work hard, have fun environment that promotes a fulfilling and exciting workplace for employees.
The company has a values-driven culture that emphasizes connection, collaboration, and co-creation.
SMG is a fully remote company, allowing for flexible work arrangements.
Employees enjoy unlimited PTO, providing them with the freedom to take time off as needed.
Tech equipment is provided to employees to support their work.
The company offers sick pay to ensure employees can take care of their health when needed.
SMG is committed to diversity and inclusion, creating an environment where all colleagues feel a sense of belonging and have equal access to opportunities and resources.
