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.

Company Description Welcome to the good side of tech 👋 You might have heard about us, but with a different name: Doctoralia. It all started 12 years ago when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human? Docplanner at scale We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300k+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startup-mindset we started with over 10 years ago. How does Docplanner Tech fit here? At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement. We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us. And why should you join us? Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs. We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote friendly. Job Description Responsibilities: - Develop, maintain, and optimize data pipelines for data ingestion, transformation, and availability; - Implement and manage ETL/ELT processes, ensuring data quality, integrity, and consistency; - Collect, organize, and structure data from different sources (databases, APIs, files, etc.); - Perform relational and dimensional data modeling to support analytical and BI needs; - Work with relational and analytical databases, optimizing queries and performance; - Support the development and maintenance of Data Warehouses and Data Marts; - Create, enhance, and maintain existing dashboards and reports, ensuring performance, usability, and alignment with business rules; - Support and enhance BI tools such as Tableau, Looker Studio, and Apache Superset; - Develop automations and routines for data processing and control; - Monitor pipelines and data flows, identifying failures and proposing continuous improvements; - Document processes, architectures, pipelines, dashboards, and business rules; - Work closely with data analysts, data scientists, and stakeholders to ensure accessible, reliable, and well-presented data; - Participate in data projects end-to-end, including delivery, maintenance, and evolution of solutions; - Support technical and functional presentations for both technical and non-technical audiences. Qualifications Requirements: - Business English (ability to participate in meetings, write documentation, and communicate with global teams); - Bachelor’s degree in Information Systems, Computer Science, Software Engineering, Computer Engineering, or related fields; - 3 to 5 years of experience as a Data Analyst, Data Engineer, or similar roles, focused on Data Engineering and BI (mid-level); - Experience with relational and/or analytical databases such as Amazon Redshift, MySQL, SQL Server, Oracle, or PostgreSQL; - Strong SQL skills and experience with Python for building pipelines, automations, and supporting analysis; - Solid knowledge of database concepts: ER models (conceptual and logical); - Relational and dimensional data modeling; - Table structures, data types, and formats (CSV, JSON, Parquet); - DBMS knowledge; - Hands-on experience with ETL/ELT processes and tools; - Experience with BI tools, including Apache Superset, Tableau, Power BI, or Looker Studio, focused on dashboard creation and maintenance; - Experience with version control (Git); - Good communication, organization, and teamwork skills; - Analytical mindset with a focus on problem-solving and continuous improvement Additional Information Let’s talk money - A salary adequate to your experience. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company". Your salary will be, now and always, 100% transparent to you; - We offer a Meal Voucher worth R$800,00 a month, but if you enjoy cooking at home, you can replace it with a Food Voucher, for the same amount, or do half and half, making life easier for those who are 100% remote or hybrid. - For the commute to the office, we offer transportation vouchers. - We have a robust Partnerships Club, with agreements and discounts ranging from educational institutions. such as colleges and languages, to exclusive banking benefits. - Share options plan after 6 months of working with us. - Did you like working here? Then refer a friend or relative! We love having family and friends around! Our New Warrior Referral Program offers up to R$600 per person who stays with us for more than 6 months. True flexibility and work-life balance - Remote or hybrid work model with our hub in. - Our working hours are Monday through Friday, from 9am to 6pm. - Need to work beyond your usual hours? We have a time bank so that you can use those hours as time off later. - Additional paid holiday on your birthday and work anniversary. - Our special leave policies are different here: if you’ve lost a loved one, we offer 10 days off; if you lose your PET, you have 2 days. Are you getting married? 7 days of rest! The baby’s here? We offer 1-month of paternity leave and 6 months of maternity leave. Health comes first - Medical and Dental Assistance along with Group Life Insurance. - We have a robust Partnership Club, with discounts ranging from teaching institutions, such as colleges and language learning services, all the way to exclusive banking benefits. - Access to the iFeel app, for emotional comfort, which combines traditional psychology with AI, helping you through those tough days. - ApoioPass offers free professional support and guidance in the psychological, legal, economic, and social areas, providing support in those more delicate issues. - A Gympass for you and 3 other people! Because working out alone is very boring, isn't it? - Did you think your PET would be left out? Of course not! We offer a Pet Plan extending the care to your pet as well. - Credits: Payroll loan services, eligible after 6 months of employment. Important: Docplanner is an international English-first company. Therefore, please be sure to send your CV in English We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other. “We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO