Senior Data Engineer
Listed on 2026-01-01
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Software Development
Data Engineer
Senior Data Engineer
Unable to partner with 3rd party vendors (Corp-to-Corp/C2C) for this opportunity. We are unable to sponsor at this time. Relocation assistance is not provided.
OverviewWe are seeking a highly skilled Senior Data Engineer to design, implement, and optimize modern data solutions. This role will focus on building and maintaining scalable data architectures, ensuring performance, security, and cost efficiency across cloud-based platforms. The ideal candidate will have deep expertise in Snowflake and related technologies, along with strong collaboration skills to work across diverse teams.
Key Responsibilities- Design and implement Snowflake-based lakehouse architectures.
- Develop and optimize SQL queries, stored procedures, and data curation processes.
- Configure and manage Snowflake accounts, resource monitors, virtual warehouses, and access controls.
- Integrate Snowflake with financial systems and other third-party data sources.
- Apply best practices for data partitioning, clustering, and caching to improve performance and reduce costs.
- Automate data ingestion, metadata management, and monitoring within Snowflake environments.
- Collaborate with security teams to enforce governance, encryption, and compliance standards.
- Support CI/CD processes and automate Snowflake deployments and pipeline orchestration.
- Provide knowledge transfer and technical guidance to team members and stakeholders.
- BS/MS in Computer Science, Data Engineering, Information Systems, or related field.
- 7+ years of experience in data warehousing and cloud data platforms, with at least 5 years in lakehouse environments.
- Hands‑on experience with Snowflake migration projects preferred.
- Familiarity with insurance or financial data governance is a plus.
- Strong background in Agile and Dev Ops practices, including automation and pipeline deployment.
- Certifications such as Snow Pro Core or relevant cloud certifications are desirable.
- Expertise in Snowflake features (Time Travel, Zero Copy Cloning, Streams, Tasks) and performance tuning.
- Proficiency in SQL and experience with cloud ecosystems (Azure, AWS) and orchestration tools (DBT, Airflow).
- Solid understanding of data security, RBAC, and compliance requirements.
- Knowledge of enterprise data modeling principles.
- Excellent communication and collaboration skills.
Hybrid role requiring on-site presence 3 days per week at the designated office.
Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact
Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
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