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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 in Arlington, VA, we're on a mission to support America’s boldest changemakers, and we're excited to invite a Senior Data Engineer to join our Data Ops team. This role is pivotal in ensuring that our community has access to the right data at the right time. As part of our Enterprise Data & Information (EDI) team, you'll design, develop, and optimize scalable data architectures and pipelines that empower decision-making across our initiatives. You will take ownership of critical data architecture responsibilities, leading complex projects that require collaboration with various stakeholders. Your technical expertise in cloud-based platforms like Snowflake and AWS, along with proficiency in SQL and Python, will be essential in building a robust data foundation. Not only will you partner with other teams to ensure the delivery of high-quality datasets, but you'll also play a significant role in enhancing our data governance and best practices. At Stand Together, we believe in the transformative power of community, and as a Senior Data Engineer, you'll directly contribute to making a meaningful impact in society. Join us, and let’s drive change together while enjoying competitive benefits and a commitment to growth in our unique, non-hierarchical work culture!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Stand Together
What responsibilities does a Senior Data Engineer at Stand Together have?

As a Senior Data Engineer at Stand Together, you'll design and optimize scalable data architectures, manage data platforms, and lead complex engineering projects, ensuring they meet the business's needs. Collaborating across departments, you’ll focus on building a unified data infrastructure while ensuring data governance and best practices are upheld.

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What qualifications do you need to become a Senior Data Engineer at Stand Together?

To become a Senior Data Engineer at Stand Together, you should have over 5 years of experience in data engineering or related fields, strong expertise with cloud platforms like Snowflake and AWS, and proficiency in SQL and Python. Additionally, knowledge of ETL frameworks and data governance practices is essential.

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How does Stand Together support the growth of its Senior Data Engineers?

Stand Together fosters growth by providing a non-hierarchical environment that encourages employees to develop and apply their unique talents. You'll have access to competitive benefits, ongoing training, and professional development opportunities, ensuring you thrive in your career.

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Is there a focus on collaboration in the Senior Data Engineer role at Stand Together?

Collaboration is key for a Senior Data Engineer at Stand Together. You'll interact with various stakeholders, including data engineers, architects, and analysts, to manage and enhance our data solutions while ensuring alignment with organizational goals.

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What types of data platforms will I work with as a Senior Data Engineer at Stand Together?

In your role as a Senior Data Engineer, you will primarily work with cloud-based data platforms like Snowflake and AWS, alongside ETL/ELT frameworks such as Five Tran and dbt Core/Cloud. Your expertise in these technologies will help build efficient and scalable data solutions.

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

The company culture at Stand Together is rooted in Principle Based Management® (PBM®), encouraging an entrepreneurial spirit, diversity, and creativity. You'll find a supportive community that values each employee’s contributions, fostering an environment where innovation thrives.

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What are the benefits of working as a Senior Data Engineer at Stand Together?

As a Senior Data Engineer at Stand Together, you will enjoy competitive compensation, excellent health and dental plans, a generous 401(k) match, flexible time off, and wellness support. These benefits reflect our commitment to the well-being of our employees.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with cloud-based data platforms as a Senior Data Engineer?

When discussing your experience with cloud-based data platforms during an interview, highlight your familiarity with specific technologies such as Snowflake or AWS. Provide examples of projects where you successfully utilized these platforms to build scalable data solutions, mentioning any challenges you overcame.

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What strategies do you use to ensure data quality in your projects?

In answering this question, emphasize the importance of setting up automated data quality monitoring processes. Discuss techniques and tools you’ve implemented to track and validate the accuracy of your datasets, holding data to the highest standards throughout the lifecycle.

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How do you collaborate with stakeholders when managing data projects?

Collaboration is vital in data projects. Share your approach by providing examples of how you engage with different teams, manage expectations, and ensure you align data solutions with business needs. Highlight your communication skills and any relevant project management tools used.

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Can you explain your experience with ETL frameworks?

When discussing your experience with ETL frameworks, such as Five Tran or dbt, detail specific projects where you have implemented these tools. Illustrate how they enhanced data transformation processes, streamlined workflows, and supported decision-making in your organization.

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What is your approach to designing data architectures?

Describe your approach to designing data architectures by focusing on scalability, reliability, and performance. Include key principles you follow, such as ensuring alignment with business objectives and engaging with stakeholders for feedback during the design process.

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How do you keep up with new data engineering technologies?

Keeping up with new data engineering technologies is crucial. Mention how you stay informed through online courses, webinars, industry publications, and professional networking. Share specific technologies you've recently learned about and how you plan to implement them in future projects.

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Describe a challenge you've faced in data engineering and how you overcame it.

When addressing this question, provide a specific example of a challenge—be it technical complexity, stakeholder disagreements, or data inconsistency. Detail the steps you took to resolve the issue, emphasizing your analytical skills and innovative mindset to craft a solution.

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What role does data governance play in your work as a Senior Data Engineer?

Data governance is essential for ensuring data integrity and compliance. Discuss your previous experience enforcing data governance practices, establishing data stewardship roles, and implementing protocols that foster trust and compliance across data platforms.

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How do you optimize data pipelines for performance?

When optimizing data pipelines, focus on your methodologies, such as profiling and monitoring data flows, identifying bottlenecks, and leveraging best practices to enhance performance. Provide examples of successful optimizations you’ve implemented in past projects.

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What is your experience with SQL or Python for data manipulation?

In your response, highlight your proficiency in SQL or Python by discussing specific projects where you utilized these languages for data manipulation. Provide details on how you automated processes, improved efficiency, or derived actionable insights from complex datasets.

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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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DATE POSTED
November 24, 2024

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