Stand Together is hiring a
Engineering Manager

Summary

Join Stand Together as the Engineering Manager - Data Operations to lead data operations transformation, manage and optimize data infrastructure, and collaborate with cross-functional teams.

Requirements

• 5+ years of experience in data engineering, data infrastructure, engineering management or a similar role
• Proven experience managing or leading data engineering or operations teams
• Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native data technologies
• Expertise in building and managing data pipelines, ETL/ELT workflows, and data integration processes
• Familiarity with CI/CD pipelines and infrastructure as code (e.g., Terraform, Kubernetes)
• Proficiency in modern data tools and frameworks (e.g., Apache Airflow, DBT, Spark, Kafka)
• Expertise in SQL, Python, and scripting for automating data workflows
• Strong understanding of data warehousing, data lakes, and distributed data architecture
• Experience with monitoring tools (e.g., Datadog, Prometheus) and setting up proactive alerting systems
• Excellent leadership, communication, and stakeholder management skills
• Strong problem-solving ability with attention to detail and a focus on quality while delivering against strategic goals
• Ability to work collaboratively in a fast-paced, cross-functional environment

Responsibilities

• Lead & Mentor the Data Ops Team: Manage and mentor a team of data engineers responsible for data pipelines, integrations, and infrastructure
• Data Pipeline Management: Oversee the design, implementation, and maintenance of data pipelines, ensuring data reliability, quality, and scalability across the organization
• Data Infrastructure Optimization: Work closely with the Cloud team to optimize data infrastructure, including provisioning cloud resources, scaling, and monitoring data platforms for performance
• Monitoring & Alerting: Develop robust monitoring and alerting systems for data pipelines and infrastructure, addressing issues before they impact the business
• Automation & CI/CD: Implement automation strategies to streamline data operations, including CI/CD pipelines for data workflows and infrastructure as code
• Collaboration: Partner with the Data Refinery and Data Products teams to ensure that the data infrastructure supports the creation of high-quality, consumable datasets and data products
• Security & Compliance: Ensure that all data operations comply with security policies, data governance, and privacy regulations
• Process Improvement: Continuously improve the processes for managing, monitoring, and scaling data pipelines and infrastructure
• Stakeholder Management: Communicate with business stakeholders to understand their data needs, and work with cross-functional teams to deliver data solutions that meet organizational goals

Preferred Qualifications

Experience with Snowflake, Fivetran and DBT Core/DBT Cloud

Benefits

• A meaningful career where your work will improve the lives of millions of Americans
• A vision-driven community of over 1,000 employees across the country who are dedicated to improving the lives of others
• Competitive salaries and bonuses
• Generous 401K match - 6% match with immediate vesting
• Competitive health and wellness benefits
• Our flexible time-off policy allows all employees to take leave as needed
• A purchasing credit card to use for business expenses
• Mileage reimbursement for business travel separate from your commute
• Commuter assistance plans to offset the cost of commuting into our headquarters (on-site parking or metro)
• Opportunities for professional development and mentorship that can strengthen your effectiveness through principle-based management and other industry-specific programs