• Design, develop, and implement data pipelines, data integration, and data storage solutions • Partner closely with IT Managers, Enterprise Business Intelligence, Data Governance, and Data Science teams • Lead the design and build of scalable data pipelines and solutions (batch and/or streaming) • Analyze complex data elements and systems, data flow and develop conceptual, logical, and physical data models • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources • Collaborate in implementing components of data strategy – Master Data Management (MDM), data virtualization etc.

Role Description The Data Engineer supports Justice software implementation and support projects and may assist teams from across Neumo’s product sets as needed. They are responsible for ensuring data hygiene and building the scripts, processes, and infrastructure needed to prepare data for migration and conversion. This role oversees the full data conversion lifecycle—including sampling, transforming, loading, and iterative reprocessing to ensure clean, accurate, and ready‑to‑use data. The ideal candidate is a strong programmer with an automation mindset who can improve data quality, system reliability, and long‑term repeatability. - Develop and maintain Python and SQL scripts for data cleaning, transformation, and preparation. - Design, build, and optimize ETL pipelines and data workflows. - Execute data conversion activities: sampling, transforming, loading, and refining datasets. - Implement and document data hygiene standards and organize data environments for consistency and repeatability. - Handle sensitive and PII data responsibly and securely. - Analyze and tune SQL performance (indexes, partitioning, query plans). - Leverage AI and automation tools to streamline manual data processes. - Build and maintain infrastructure supporting scalable data pipelines. - Perform other duties as assigned. Qualifications - Proficiency in Python and SQL. - Strong understanding of ETL processes and data pipeline architecture. Requirements - Knowledge of database performance fundamentals. - Experience with PII handling and secure data practices. - Ability to improve data hygiene, documentation, and operational consistency. - Creative problem‑solver with an automation‑first mindset. Work Environment - Office setting with a moderate noise level. - The employee will work at an individual workstation, using a telephone and computer. Physical Demands - Must be able to remain seated for extended periods. - Regular use of a computer and other office machinery, such as printers and copy machines. - Occasional movement around the office. - Frequent communication via telephone. Company Description With the backing of four decades of public sector expertise and corporate capability, Neumo has successfully supported government services. Neumo was honored and recognized for four (4) consecutive years as a GovTech 100 Company representing the top 100 companies focused on making a difference in and selling to state and local government agencies across the United States. Neumo is committed to helping communities thrive and brings a wealth of experience combined with innovation. Today, Neumo offers more administrative and financial support to government officials than any other organization. And with a responsive, client-focused approach, we foster partnerships that give our customers the certainty they need to accomplish more. Neumo offers a competitive benefits and compensation package and are looking for team members who will thrive in our dynamic environment. Neumo is an Equal Opportunity Employer. Selection for a position will be made without regard to race, religion, national origin, sex, political affiliation, marital status, non-disqualifying physical handicap, and age.

• Own the end-to-end architecture for MLS and property data: streaming and batch pipelines, microservices, storage layers, and APIs • Design and evolve event-driven, Kafka-based data flows that power listing ingestion, enrichment, recommendations, and AI use cases • Drive technical design reviews, set engineering best practices, and make high-quality tradeoffs around reliability, performance, and cost • Design, build, and operate backend services (Python or Java) that expose listing, property, and recommendation data via robust APIs and microservices • Implement scalable data processing with Spark or Flink on EMR (or similar), orchestrated via Airflow and running on Kubernetes where applicable • Champion observability (metrics, tracing, logging) and operational excellence (alerting, runbooks, SLOs, on-call participation) for data and backend services • Build and maintain high-volume, schema-evolving streaming and batch pipelines that ingest and normalize MLS and third-party data • Ensure data quality, lineage, and governance are built into the platform from the start—supporting analytics, AI/ML, and customer-facing features • Collaborate with ML/AI engineers to design and scale AI agents that automate MLS feed onboarding, listing discrepancy triage, and other operational workflows • Collaborate closely with Product, Engineering, and Operations to shape the roadmap for our data platform, MLS capabilities, and AI-powered experiences • Mentor and unblock other engineers; elevate the overall level of technical decision-making on the team via pairing, reviews, and design guidance

Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. Working at Chartbeat During your time at Chartbeat, you can expect to work with a modern software development stack and engineering systems built for scale. You will also have a chance to meet heads of other departments such as Sales, Finance, Product and more, who will give you a view into what and how they work, it will be an opportunity not only to dive into all things engineering, but also to learn about how an enterprise SaaS company works end to end. Some logistics info, the internship will be fully remote with an expectation to work during the US east coast business hours. We will be providing a Macbook that will be used and returned back to us after the internship. Interns in the NYC area will have the chance to meet some of our local team members at a co-working space occasionally and work together. Finally, our interns will also be able to expense two lunches every month when meeting with anyone at the company - we encourage them to mix and mingle! Data Engineering Internship: Preferred Skills: Python, SQL Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves. We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here.