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Senior Data Engineer

Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society. 


At Stand Together, we believe in the power of community and the transformative potential of partnerships to break barriers and drive change. As part of this mission, our Enterprise Data & Information (EDI) team plays a crucial role in ensuring that the right data is delivered to the right people at the right time. We are seeking a Senior Data Engineer to join our Data Ops team and help lead our efforts to build a robust and scalable data foundation that supports data-driven decision-making across the Stand Together Community. 


How You Will Contribute
  • 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. 


What You Will Bring
  • 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, automateddata quality monitoring processes aligning to data quality best practices. 


What We Offer
  • Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace.
  • A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
  • Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents.
  • Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive.


Our Values: Working at Stand Together is different from many other organizations. Our culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers our employees to be entrepreneurial, to innovate, and to continually drive transformation.   

 

We believe diversity fuels creativity, broadens knowledge, and helps drive success, and that is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, respect and sensitivity.

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CEO of Stand Together
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Brian Hooks
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What You Should Know About Senior Data Engineer, Stand Together

At Stand Together, located in Arlington, VA, we're on a mission to empower America's boldest changemakers to tackle pressing social issues. We believe in the transformative potential of community and partnerships, and we’re excited to welcome a Senior Data Engineer to our Enterprise Data & Information (EDI) team. In this role, you will design and develop scalable data architectures and pipelines that ensure the right data reaches the right people at the right time, enhancing data-driven decision-making across our community. You will take ownership of key data architecture responsibilities, leading complex engineering projects from concept to execution and collaborating with various departments to align our data solutions with business needs. Your expertise with cloud-based data platforms like Snowflake and AWS, combined with your knowledge of ETL/ELT frameworks, will enable us to streamline our data operations. You'll work closely with data engineers and analysts to build a unified data infrastructure, partner with our Data Products team to deliver high-quality datasets, and ensure optimal performance of our data platforms. If you're passionate about improving data operations and governance and want to make a meaningful impact through your work, Stand Together is the perfect place for you to thrive and grow your career!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Stand Together
What qualifications do I need to apply for the Senior Data Engineer position at Stand Together?

To apply for the Senior Data Engineer position at Stand Together, you'll need 5+ years of experience in data engineering or related fields. A strong background in cloud-based data platforms, such as Snowflake and AWS, and familiarity with ETL/ELT frameworks is essential. Additionally, expertise in SQL, Python, or similar programming languages is necessary for data manipulation and automation.

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What are the key responsibilities of a Senior Data Engineer at Stand Together?

As a Senior Data Engineer at Stand Together, your key responsibilities include designing and optimizing scalable data architectures, leading complex data engineering projects, and partnering with various teams to deliver high-quality datasets. You'll also oversee data governance practices, monitor data flows, and collaborate closely with IT and Cloud teams to enhance the performance of data platforms.

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How can the Senior Data Engineer position at Stand Together contribute to social change?

The Senior Data Engineer position at Stand Together directly supports social change by ensuring that critical data is efficiently managed and delivered. By developing robust and scalable data frameworks, you will empower decision-makers within the organization to utilize data insights effectively, ultimately enabling impactful solutions for society's most pressing issues.

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What tools and technologies should I be familiar with for the Senior Data Engineer role at Stand Together?

For the Senior Data Engineer role at Stand Together, familiarity with cloud-based data platforms like Snowflake and AWS is crucial. Additionally, experience with ETL/ELT frameworks such as Five Tran and dbt Core/Cloud, along with a solid understanding of data governance and metadata management practices, will be highly beneficial.

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What is the work culture like for a Senior Data Engineer at Stand Together?

The work culture at Stand Together is unique, emphasizing Principle Based Management® (PBM®), which promotes openness, dignity, and bottom-up empowerment. As a Senior Data Engineer, you will thrive in a non-hierarchical environment that values innovation, creativity, and collaboration, allowing you to contribute meaningfully to the organization's mission.

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What opportunities for professional growth are available for a Senior Data Engineer at Stand Together?

Stand Together is committed to the growth of its employees. As a Senior Data Engineer, you will have access to various opportunities for professional development, including mentorship programs, workshops, and the chance to work on complex projects that enhance your skills and expertise in data engineering and architecture.

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What benefits does Stand Together offer to its Senior Data Engineer?

Stand Together offers a comprehensive benefits package, including competitive salaries, flexible time off, health and dental plans, and a 6% 401(k) match with immediate vesting. You also have access to wellness programs, mental health support, and a meaningful career focused on driving social change.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with cloud-based data platforms relevant to the Senior Data Engineer role?

In your response, highlight specific projects where you used cloud-based platforms like Snowflake or AWS. Discuss the architecture you designed, challenges faced, and how you leveraged these technologies to achieve scalability and reliability in data workflows.

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What strategies do you implement for data governance?

Share your approach to data governance, mentioning specific processes for data quality monitoring, security practices, and documentation methods. Explain how these strategies support overall business objectives and ensure compliance with best practices.

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Describe a complex data engineering project you have led in the past. What was your approach?

Provide a detailed overview of a specific project, including the objectives, your leadership role, technologies used, and how you collaborated with various stakeholders. Emphasize the outcomes and lessons learned from this experience.

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How do you ensure data quality and reliability in your solutions?

Discuss the importance of data quality in your work and the methodologies you implement to monitor and validate data integrity. Describe any automated processes or frameworks you've built to enhance data reliability.

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What programming languages and tools do you consider essential for a Senior Data Engineer?

Highlight the programming languages you are proficient in, particularly SQL and Python, and how you utilize them for data manipulation and automation. Mention other tools or frameworks you've used that are relevant to the data engineering domain.

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How do you prioritize and manage your tasks in a fast-paced environment?

Share techniques you’ve adopted for task prioritization, such as agile methodologies or project management tools. Provide examples of how you've effectively managed deadlines and communicated with stakeholders during critical projects.

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Can you provide an example of how you resolved a data pipeline issue?

Describe a specific incident in which you encountered a data pipeline issue, the steps you took to troubleshoot and resolve it, and how you ensured similar problems wouldn't occur in the future. This showcases your problem-solving abilities and proactive mindset.

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How do you collaborate with non-technical stakeholders in your data projects?

Explain your approach to effective communication with non-technical stakeholders, including how you simplify complex concepts and ensure that everyone is aligned on project goals. Give an example of a past experience where you successfully fostered this collaboration.

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What is your approach to integrating data from multiple sources?

Discuss the strategies and tools you use to manage and integrate data from various sources. Explain your mindset around handling discrepancies and ensuring a unified view of the data for decision-making.

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Describe your experience with ETL/ELT processes.

Detail your hands-on experience with ETL/ELT frameworks, mentioning any specific tools you've used, like Five Tran or dbt. Share insights on how you structure these processes for maximum efficiency and effectiveness in data handling.

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We work with: Nonprofit leaders at over 100 community-based groups. Over 700 of the country’s most effective business leaders and philanthropists. Over 1,000 professors at 350 universities. Tens of thousands of K-12 teachers. And millions of grass...

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Full-time, on-site
DATE POSTED
November 24, 2024

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