Title: Associate Data Engineer Location: United States, Remote Department: Data Science Job Category: Data Science Requisition Number: ASSOC001075 Full-Time Remote Remote - General (United States) Job Description: Position summary Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We get you the information you need to do good. Candid currently has an opportunity for an Associate Data Engineer. The Associate Data Engineer supports the day-to-day operations of Candid’s cloud data platform. This role is responsible for maintaining ingestion and transformation pipelines built on Apache Iceberg, validating data outputs through schema and structural changes, and assisting with storage management, platform observability, and metadata operations. The Associate Data Engineer develops foundational skills across the modern data lakehouse stack while taking direct ownership of pipeline maintenance, documentation, and validation activities. Position: Associate Data Engineer Reporting to: Data Operations Manager Supervises: N/A Schedule: 35-hour work week, Monday through Friday Compensation: $70,000 - $95,000 (this range is for the NYC area and will be adjusted for other localities; additionally, factors like skills and experience will be considered). Location: Remote. In-person attendance is expected twice per year during our annual, weeklong all-staff summits. Additional in-person meeting participation is expected at least once per quarter for senior leaders and at least once per month for the executive team. Staff not located in the NYC area are expected to travel for these meetings. Benefits: Health insurance (medical, dental, vision), retirement contribution with additional option for a match, paid life insurance and AD&D, paid leave time (PTO, compassionate leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit, flexible spending accounts, supplemental insurance, summer hours, and Public Service Loan Forgiveness (PSLF) program eligible employer. Responsibilities - Pipeline Maintenance, Documentation, & Validation: Serve as the primary owner of ingestion pipelines and transformation table adjustments. Ensure continued, reliable data delivery and apply routine changes as business and schema needs evolve. Validate transformation outputs against expected results after schema or structural changes, documenting findings and escalating anomalies to the appropriate teams. - Storage & Platform Support: Assist with scheduling compaction and cleanup jobs to maintain Iceberg table health and query performance. Support partition evolution and snapshot retention management to control storage growth. - Observability & Metadata: Assist in implementing and maintaining CloudWatch metrics, alarms, and dashboards to ensure pipeline visibility. Contribute to tracking and reporting on platform performance metrics. Help maintain AWS Glue metadata refresh and statistics jobs that support query planning and optimization within the data platform. - Schema Coordination: Assist with coordinating schema changes across ingestion and transformation layers to maintain consistency end to end. Collaborate with the Data Operations Engineer to communicate impacts and sequence changes safely. - Infrastructure & Security: Support and maintain RBAC and ABAC (least privilege, standardized roles, and consistent tagging). Participate in access reviews and audits, documenting changes and escalating risks as needed. Requirements - 1– 3 years of experience in data engineering, analytics engineering, or a closely related technical role; internships and relevant academic project work considered. - Solid SQL skills, including writing, reading, and debugging queries against relational or columnar data stores. - Familiarity with cloud data concepts: object storage (Amazon S3), columnar file formats (i.e. Parquet), data-interchange formats (JSON, XML), or open table formats (i.e. Apache Iceberg). - Experience with or exposure to distributed SQL query engines such as Trino or Starburst - Familiarity with AWS services such as S3 and Glue. - Exposure to Apache Airflow, SSIS or another workflow orchestration platform - Experience writing or maintaining data pipelines in Python. - Familiarity with on-prem relational data systems (i.e. Microsoft SQL Server). - Strong attention to detail, especially around data validation and output accuracy. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills; ability to document findings clearly for both technical and non-technical audiences. - Ability to work independently and collaboratively as part of a distributed team. - Willingness to perform other duties and special projects as needed/requested. - Sensitivity and respect for racial, gender, sexual orientation, and cultural differences. - Champions and represents Candid’s core values: We’re driven, direct, accessible, curious, and inclusive. About Candid Candid’s mission is to get you the information you need to do good. The world’s problems are only growing, and change can’t wait. Nonprofits are needed now more than ever, but all too often their work goes without adequate support. Candid makes it easier and faster for nonprofits and funders to connect in pursuit of solutions to change the world. Candid is where nonprofits find grants, donors find nonprofits that inspire them, and all can gain insights about the work being done for good. Candid is a qualifying nonprofit organization as defined by the Public Service Loan Forgiveness Program. As such, Candid employees may claim their employment time on their PSLF application. We offer a competitive salary and excellent benefits. Due to the high volume of applicants we typically receive, we regret that we can only contact candidates we would like to interview. Candid is an equal opportunity employer. Candid provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Title: Staff Engineer (Data) Location: GB, United Kingdom Job Description: Location: Remote Salary: Competitive, dependent on experience About us At Arbor Education, we are dedicated to transforming the way schools operate to create happier, more efficient working environments for school staff. Our innovative Management Information System (MIS) and school management tools are currently used by over 7,000 schools and trusts across the UK, helping to turn data into actionable insights and improve the daily working lives of educators. About the role We are seeking a highly skilled and visionary Staff Engineer to join our dynamic Engineering team. In this role, you will play a critical part in driving technical excellence, architecture strategy, and cross-team collaboration. You will work closely with product teams, engineering leads, and other stakeholders to develop scalable solutions that align with our mission of improving education through technology. This position offers an excellent opportunity for a technical leader who thrives on challenges and enjoys mentoring peers. Core responsibilities - Lead the architectural design and technical direction for key product domains within Arbor Education. - Collaborate with Technical Leads and product teams to ensure high-quality delivery of features and infrastructure improvements. - Drive architectural reviews and promote best practices in software development and engineering excellence. - Mentor and coach engineers and technical leads, facilitating professional growth and knowledge sharing. - Partner with leadership to shape the technology strategy and contribute to long-term product roadmaps. - Promote a culture of ownership, quality, security, and observability across engineering teams. Requirements About you - Proven experience as a senior or staff engineer with strong technical leadership skills. - Demonstrated expertise in software architecture, system design, and scalable solutions. - Excellent communication skills, capable of influencing both technical and non-technical stakeholders. - Experience mentoring and coaching engineering teams to elevate their technical skills and deliver business value. - Proficient in relevant technologies such as PHP, Node.js, TypeScript, MySQL, and cloud platforms like AWS. - A strong understanding of API design, identity management, and SaaS platforms is desirable. - Experience working within a fast-paced, collaborative environment with a focus on quality and security. Bonus skills - Experience in the education technology sector or other regulated SaaS domains. - Knowledge of workflow automation, API gateways, or intelligent tooling within the software development lifecycle. - Familiarity with cloud infrastructure, deployment strategies, and observability tools. Benefits What we offer The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer: - A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! - 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas - Life Assurance paid out at 3x annual salary - Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks - Private Dental Insurance with Bupa - Salary sacrifice Pension provided by Scottish Widows - Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay - 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! - Access to services such as Calm and Bippit (financial wellbeing coaching) - All of our roles champion flexible working and we are happy to discuss what this means to you - Social committees that plan team, office and company wide events to bring people together and celebrate success - Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc) - Volunteer with a charity of your choice for a day each year - Dog friendly offices! Arbor Education is an equal opportunities organisation Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds.

Role Description We are looking for a highly skilled Data Engineer (L3) with strong expertise in Python, data ingestion pipelines, and marketing data systems, particularly with the Meta Ads ecosystem. This role sits at the intersection of data engineering and social/native platforms, enabling scalable data pipelines, high-quality datasets, and lead generation and business decision-making. This role goes beyond building pipelines and will be responsible for: - Designing scalable data architecture - Driving business outcomes (revenue, lead quality, conversion efficiency) - Owning how data is used, trusted, and acted upon The ideal candidate will not manage campaign buying or bidding directly but must clearly understand ad platform mechanics, attribution models, and lead quality scores. They will work closely with the Data Lead / Engineering Lead, acting as a key contributor in shaping solutions, making technical decisions, and delivering high-impact data products. Responsibilities - Data Engineering & Pipelines - Design, build, and maintain robust data pipelines for social marketing and product data sources (APIs, event streams, batch systems) - Develop scalable ETL/ELT workflows / microservices using Python and SQL - Ensure high data quality, reliability, and observability across pipelines - Optimize data models for analytics and reporting use cases - Marketing & Ad Platform Data - Own ingestion and modeling of data from Meta Ads (Facebook) and other digital marketing platforms - Build datasets that support: - Campaign performance tracking - Lead funnel analysis - Attribution and conversion tracking - Understand key concepts such as: - Campaign structure (campaign/ad set/ad level) - Bidding & optimization signals - Attribution windows - Pixel / event tracking - Business Understanding & Collaboration - Translate business requirements from marketing, growth, and product teams into scalable data solutions - Define success metrics tied to revenue and performance - Enable self-serve analytics through well-structured datasets - Data Quality & Governance - Implement validation checks, monitoring, and alerting for pipelines - Ensure consistency across different marketing data sources - Maintain clear documentation of data models and pipelines - Business Collaboration & Use Case Ownership - Work closely with marketing, growth, and analytics teams to: - Understand real-world use cases - Define success metrics tied to revenue and performance - Own key use cases such as: - Lead funnel optimization - Campaign attribution - Revenue reporting and forecasting - Ensure data enables decision-making, not just reporting - Engineering Standards & Best Practices - Design and implement modular, reusable microservices that enable the scalable development of data products - Drive standardization through well-architected, loosely coupled services that can be leveraged across multiple use cases - Uphold high standards in: - Code quality and modularity - Pipeline reliability and monitoring - Documentation and data contracts - Contribute to shared frameworks and reusable components - Promote best practices across the data engineering team Qualifications - Strong proficiency in Python (must-have) - Advanced SQL skills for large-scale data processing - Hands-on experience with data ingestion from APIs (rate limits, pagination, retries) - Experience with data orchestration tools (e.g., Airflow or equivalent) - Familiarity with cloud data platforms (BigQuery, etc.) - Experience building scalable data ingestion systems - Familiarity with microservices-style or modular data systems - Strong understanding of performance and cost optimization Good to Have - Experience with other ad platforms (Google Ads, Bing Ads, etc.) - Knowledge of data modeling best practices (e.g., star schema, dbt) - Experience with real-time or near real-time data pipelines Benefits - Day off on the 3rd Friday of every month (one long weekend each month) - Monthly Wellness Reimbursement Program to promote health well-being - Monthly Office Commutation Reimbursement Program - Paid paternity and maternity leaves

• Playing a key role in creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP) • Developing and maintaining regulatory data submission systems, both existing on-premise and new cloud-based solutions in GCP/BigQuery • Supporting the migration of legacy SQL Server solutions to BigQuery • Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data • Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability of regulatory submissions • Participating in code reviews and adhering to departmental standards