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 motivated and detail-oriented Data Engineering Manager to join our Data Platform and Engineering team. This role is ideal for individuals with a strong foundation in data operations and a proven ability to drive operational excellence in technical environments. The successful candidate will play a key role in operationalizing support workflows, incident response protocols, and data observability practices across our data platforms.

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

How You Will Contribute

Manage a small team of data engineers focused on operational support, reliability, and platform engineering.
Provide mentorship, guidance, and performance feedback to team members.
Be hands-on in writing production-grade code to support data product development, collaborating directly with data engineers and architects.
Design and implement scalable support processes for data pipelines and platforms.
Foster a culture of accountability, continuous learning, and collaboration.
Own and evolve incident response playbooks, ensuring rapid and effective resolution.
Collaborate with cross-functional teams to define service levels and reduce downtime.
Lead efforts to enhance data observability using tools like Monte Carlo, Bigeye, or similar.
Define and track key metrics for data health, latency, and reliability.
Drive adoption of proactive monitoring and alerting systems.
Identify opportunities to automate repetitive support tasks and incident triage.
Partner with platform and analytics teams to streamline data delivery and quality assurance.
Contribute to documentation and knowledge base development.
Act as a point of contact for operational escalations and support inquiries.
Communicate effectively with business and technical stakeholders regarding incidents and resolutions.
Support onboarding and enablement of new data users and engineers.

What You Will Bring

5+ years of experience in data engineering, with exposure to DevOps and/or DataOps, operational support, and incident management.
1+ years of experience in a leadership role.
Strong understanding of data pipeline architecture, ETL/ELT processes, and cloud data tools (e.g., Snowflake, Databricks, Fivetran, dbt, AWS/GCP).
Familiarity with observability tools and practices (e.g., logging, tracing, metrics).
Excellent problem-solving skills and a bias toward action.
Strong communication and organizational skills.
Enthusiasm to contribute to Stand Together's vision and principled approach to solving problems, and a commitment to stewarding our culture, which champions values including transformation and innovation, entrepreneurialism, humility, and respect.

Standout Candidates Will Bring

Experience with incident management frameworks (e.g., ITIL, SRE).
Hands-on experience with data quality and data observability tools.
Exposure to agile methodologies and DevOps practices.
Passion for building reliable, scalable, and user-friendly data systems.

What We Offer

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.