Senior Data Engineer @ Stand Together | Jobright.ai
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Senior Data Engineer jobs in United States
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Stand Together ยท 10 hours ago

Senior Data Engineer

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Responsibilities

Design, develop, and optimize scalable data architectures and pipelines to support enterprise-wide data initiatives.
Take ownership of key data architecture responsibilities, including the design and oversight of data platforms, ensuring alignment with long-term data strategies and business objectives.
Lead complex data engineering projects from concept to execution, collaborating with stakeholders across various departments to ensure data solutions meet business needs.
Partner with the engineering team and leadership to oversee the management and transformation of our data platforms, identifying opportunities for improvements in efficiency, reliability, and scalability.
Work closely with data engineers, architects, and analysts to build a unified data infrastructure that serves as the backbone for our data operations and products.
Partner with our Data Refinery and Data Products teams to deliver consumable, high-quality datasets for end users within the Community.
Collaborate with IT and Cloud teams to implement server-side integrations and ensure optimal performance of data platforms.
Monitor data flows and pipelines, resolving issues and optimizing for performance and reliability.
Actively contribute to the development and enforcement of data governance, stewardship, and best practices across the organization.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data engineeringCloud-based data platformsData architectureSQLPythonETL frameworksData governanceData quality monitoring

Required

5+ years of experience in data engineering or related fields with demonstrated success in architecting and managing enterprise-scale data solutions.
Strong experience with cloud-based data platforms (e.g., Snowflake, AWS) and ETL/ELT frameworks (Five Tran, dbt Core/Cloud).
Proven ability to lead complex data projects, working closely with business and technical stakeholders.
Experience in data architecture and the design of scalable, reliable data pipelines and platforms.
Expertise in SQL, Python, or similar programming languages for data manipulation and automation.
Familiarity with data warehousing, data governance, and metadata management practices.
Exceptional problem-solving skills and a passion for improving data operations and platforms.
Excellent communication skills, with the ability to translate technical concepts into actionable insights for diverse audiences.
Experience in robust data governance and security, aligning to IT and data best practices.
Experience with setting up scalable, automated data quality monitoring processes aligning to data quality best practices.

Benefits

6% 401(k) match with immediate vesting
Flexible time off
Comprehensive health and dental plans
Wellness and mental health support through Peloton and Talkspace

Company

Stand Together

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Stand Together is a non-profit organization management company that specializes in education, trade, foreign policy.

Funding

Current Stage
Late Stage

Leadership Team

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Greg Allum
VP of Growth
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Amy Rees Anderson
Vice Chairman of the Ambassador Network
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