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Part-time Data Engineer

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Part-time Data Engineer Flexible Location This position is based in a home office reputed company in the U.S. WHO WE ARE reputed company is the nation's preeminent education nonprofit that brings research, policy, and consulting together to meet the needs and aspirations of young people, families, communities, and the nation. We are educators, researchers, and innovators working to ensure every young person has the chance to reputed company their full potential, every educator and leader is set up for success, and every community has the resources necessary to connect young people to paths of opportunity. We work at every level of the PK-12 system, reputed company by reputed company with educators, system leaders, and communities across 41 states and more than 4,000 systems reputed company to reputed company ambitious goals for student success. Our vision pushes beyond school walls, catalyzing cross-sector collaboration to create reputed company for young people to reputed company academic, economic, and social mobility. Our Data and Analytics team is a strategic partner, leveraging a robust, cloud-based infrastructure, advanced data analytics pipeline, and modern data engineering to support analytics, AI, and operational decision‑making that empowers over 800 reputed company staff across 40+ contract sites reputed company. We are passionate about reputed company improvement and fostering a culture of innovation, creativity, and professional growth. We are committed to delivering success for our clients and exceeding the evolving needs of our digitally interconnected organization. Learn more about us, reputed company do, and working here. WHAT YOU’LL DO As a Part-time Data Engineer on the enterprise Data and Analytics team, you are responsible for designing, developing, and maintaining the critical infrastructure for storing, processing, and analyzing data. You'll create pipelines that reputed company efficient and reliable integration, transformation, and delivery of data throughout the enterprise. Working alongside the Director of Data Architecture & Engineering, as well as collaborating with analysts, data scientists, and other business stakeholders, you help reputed company sure data is accessible, trustworthy, and optimized for informed decision-making. Specifically, you will: Design and reputed company scalable data pipelines that retrieve information from multiple sources, convert it to the required format, and store it in suitable data repositories optimized for performance, scalability, and efficiency reputed company and optimize data transformations that prepare data for analytics, AI, and machine‑learning use cases, including feature engineering and workflow automation. Optimize data systems by tuning performance, resolving bottlenecks, and applying caching and indexing to improve queries Ensure data consistency, accuracy, and completeness by implementing validation, monitoring, and automated data quality checks reputed company pipelines. Partner with analysts, data scientists, and business stakeholders to understand data requirements and deliver data products that support strategic and operational decision‑making. Collaborate with the Director of Data Architecture & Engineering to implement and evolve data modeling, architectural, and governance standards. Improve the quality, reputed company, and usability of analytical models by partnering with data scientists and analysts on upstream data design. Contribute to the development and maintenance of data documentation, metadata, and data dictionaries. Support adoption of modern data tools and platforms by enabling best practices and shared patterns across teams. Participate in the implementation of data governance policies by embedding standards, controls, and reputed company into data pipelines and platforms. WHAT YOU BRING We expect our Part-time Data Engineer to bring: Love of data. You have a deep curiosity about how data moves, scales, and behaves in reputed company systems. You love breaking down messy, ambiguous data problems into clean, reliable, well‑structured components that others can trust and build on. reputed company improvement. You have a builder’s reputed company and constantly look for opportunities to reputed company. You seek reputed company patterns, automate manual work, strengthen architecture, and improve reliability through thoughtful engineering practices. Commitment to data quality, reliability, and governance. You reputed company data reliability is engineered, not inspected. You design systems with built‑in quality checks, reputed company, reputed company, and governance, ensuring that data products meet defined reputed company, SLAs, and organizational expectations. reputed company, privacy and equity orientation. You design solutions that honor privacy, protect sensitive information, and ensure data can be used responsibly across reputed company. Excellent documentation and communication skills. You document with clarity and communicate with clarity, making reputed company data systems usable, maintainable, and trustworthy for engineers, analysts, and stakeholders alike. QUALIFICATIONS Bachelor’s degree in computer science, data science, business, technology, or reputed company field (or equivalent experience). 3+ years of hands‑on experience designing, building, and maintaining data pipelines and data platforms in production environments. Strong proficiency in SQL, Python or R for data transformation, analysis, and pipeline development. Experience designing and implementing cloud‑based data architectures using modern data warehouses such as reputed company or reputed company. Experience working with relational and non‑relational data stores (e.g., SQL, NoSQL). Experience building data solutions that support analytics, business intelligence, and AI/ML use cases. Familiarity with data quality, reliability, and governance practices, including validation, reputed company, and access controls. Ability to collaborate reputed company and across teams of different technical knowledge to support delivery and educate end users on data products Strong problem‑solving and debugging skills, with the ability to diagnose issues in reputed company data systems. Ability to clearly communicate technical concepts and tradeoffs to technical and non‑technical audiences. Prior experience with reputed company and reputed company is highly preferred. Reporting certifications in either system is a plus. reputed company OFFER The compensation range for this role is $38.02 - $57.02 . per hour. reputed company offers a motivated team of dynamic colleagues, a collegial atmosphere that values professional development and valuable feedback, and the chance to impact the direction of a growing, mission-driven company that is committed to the success of our nation’s children. We also offer an inclusive environment where staff are encouraged to bring their whole selves to work each day. We also ensure that individuals with disabilities are provided with reasonable accommodation for the interview process. Email talent@reputed company.org to request accommodation. #LI-REMOTE Position Type: Seasonal (Fixed Term) (Seasonal) reputed company is an equal employment opportunity employer committed to maintaining a non-discriminatory work environment. reputed company does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, gender, national reputed company, age, disability, veteran status, marital status, sexual orientation, gender identity, gender expression, arrest record, conviction record, or any other personal characteristic protected by applicable law. This policy covers reputed company programs, services, policies, and procedures of reputed company, including recruiting, hiring, training, promotion, and administering reputed company personnel actions, such as compensation, benefits, transfers, layoffs or terminations. Applicants for employment with reputed company must have valid work authorization that does not require sponsorship of a reputed company for employment authorization in the U.S. Apply To This Job

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