Data Engineer I
7 days ago
We are seeking a motivated and detail-oriented Data Engineer I to join our Data and Analytics team. Our team is responsible for building and maintaining ETL pipelines into Snowflake using Fivetran, Python and Azure. The ideal candidate will have a strong foundational experience with Snowflake and SQL, an eagerness to learn, and the ability to contribute to the management and enhancement of our enterprise data platform. This role provides an excellent opportunity for a junior-level engineer to grow within a collaborative and fast-paced environment.
At Seismic, we're committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page.
Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Careers page.
Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. The Seismic Enablement Cloud is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth. Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more at
Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here.
- Support the administration and daily operations of Snowflake, including user access, performance monitoring, and cost management.
- Build, monitor, and maintain data pipelines and integrations. Fivetran experience a plus
- Support and enhance Python-based automation and data workflows running in Azure.
- Partner with senior engineers to troubleshoot issues and implement improvements in data infrastructure.
- Participate in continuous learning to deepen technical expertise in data engineering tools and practices.
- 1–3 years of experience in data engineering, data analysis, or related technical field.
- Hands-on experience with Snowflake (administration or data modeling preferred).
- Proficiency in SQL and comfort working with large datasets.
- Familiarity with Python for scripting, automation, or data transformation tasks.
- Strong analytical and problem-solving skills with the ability to learn quickly.
- Excellent communication skills and a collaborative mindset.
Nice to Have
- Exposure to AI or machine learning concepts, such as anomaly detection or data quality analytics.
- Experience with data orchestration tools, cloud platforms (Azure preferred), or modern ELT frameworks.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here.
Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales
enablement
, backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft.
Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
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