Data Engineer

at Stand Together
  • Remote - United States

Remote

Data

Mid-level

Job description

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.

We are seeking a Data Engineer to join our growing analytics and data operations team. This role is ideal for someone with a solid foundation in data engineering who is ready to take on more complex challenges in data architecture, pipeline optimization, and cross-functional collaboration. You’ll work closely with software developers, analysts, and product teams to ensure robust, scalable, and secure data systems.

Our data environment is diverse and evolving, with a growing number of sources and moderate complexity. While the overall data volume is manageable, the variety and integration needs require thoughtful engineering. Experience working toward a total view of the customer—such as building a 360-degree customer profile across multiple data sources—is a strong plus, as is familiarity with social media analytics (e.g., Facebook, YouTube, Instagram).

This position is open to both HQ-based and remote candidates.

How You Will Contribute

  • Build and maintain efficient, scalable data pipelines using SQL and AWS technologies.
  • Integrate and transform data from diverse sources using tools like Fivetran, Hevo, or AWS Glue.
  • Optimize data delivery and automate manual processes to improve operational efficiency.
  • Collaborate with stakeholders to understand data needs and deliver actionable insights.
  • Implement and monitor data quality, security, and performance standards.
  • Support analytics and data science teams with tools and infrastructure for experimentation and reporting.

What You Will Bring

  • 2–4 years of experience in a data engineering role.
  • Proficiency in SQL and familiarity with NoSQL databases.
  • Hands-on experience with cloud platforms (preferably AWS).
  • Working knowledge of ETL tools and data warehouse platforms like Snowflake.
  • Programming experience in Python or similar scripting languages.
  • Understanding of performance optimization techniques (e.g., indexing, partitioning, caching).
  • Awareness of security best practices in data handling and infrastructure.
  • Experience building and maintaining CI/CD pipelines for data workflows using tools like GitHub Actions, Jenkins, or AWS CodePipeline.
  • Familiarity with data modeling techniques and experience designing semantic layers to support BI and analytics tools.
  • Experience designing and implementing data pipelines using medallion architecture (bronze, silver, gold layers) to support scalable and maintainable data systems.
  • Ability to work independently and communicate effectively with technical and non-technical stakeholders.

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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