Software Data Engineer Location: Homewood, Alabama Remote Permanent Pay Rate - $120k - $130k (estimate) Job Description: An employer is lookiing for a Software Data Engineer to sit remotely, You will primarily be tasked with building the infrastructure for "data-as-a-service" through a blend of data and backend engineering. You will contribute to the design and operation of the REST APIs and NATS-based event services that standardize data access across hospitals. You will be managing the complexity of data flowing from diverse hospital systems. You will work on complex data transformations and schema mapping to ensure that information from hundreds of different sources is normalized into a high-quality, reliable format. Your focus is on internal enablement, collaborating with the team to build services that abstract away system complexities and enforce data hygiene for our engineering and analytics groups. You will be a key contributor to our high-performance data pipelines, helping to solve large-scale integration challenges while supporting our long-term data architecture. Task will include: - Develop backend services and data integrations primarily using Python. - Implement complex data transformations, normalization logic, and schema mapping to unify fragmented data sources. - Design and enforce data hygiene and quality standards to ensure the reliability of data served across the organization. - Manage event-based communication and system messaging through NATS. - Build REST APIs to standardize and govern how internal teams access hospital data. - Operate data systems using MongoDB and relational databases to support both operational and analytical use cases. - Maintain system health and visibility using Datadog for observability and monitoring. - Partner with engineering and analytics teams to support their data access and application development needs. - Participate in architecture discussions, code reviews, and the continuous improvement of the data platform. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 4-5 years experience in data and back end software engineering Strong proficiency in Python- building backend services (REST APIS) and data integrations Strong experience in data cleansing/ hygiene and building data pipelines Schema mapping and data integrations experience Well versed in MongoDB and relational databases (RDBMS) Strong experience working in AWS Experience with messaging platforms (Kafka, NATS, etc.) Experience with Datadog or other monitoring tools Veterinary or healthcare experience Kubernetes CICD pipeline experience

• Design, build, and support high-quality data solutions and pipelines using modern engineering practices and tools. • Partner closely with product managers, software engineers, and data analysts to deliver scalable, reliable data capabilities that power digital products and business insights. • Accountable for the end-to-end lifecycle of data products, from design and implementation through production support, data quality, and performance against key metrics. • Integrate data from diverse sources including APIs, databases, event streams, and third-party systems. • Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments. • Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools. • Optimize data workflows for performance, cost efficiency, and operational resilience. • Document data flows, lineage, and technical components in support of transparency and maintainability.

• Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations). • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions. • Lead and take ownership of assigned technical projects in a fast-paced environment. • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure.

• We’re hiring a **Senior Data Engineer** to help shape the future of data-driven transformation for our clients. • Collaborate directly with clients to solve complex data challenges, delivering scalable solutions that drive real business value. • Design, develop, and maintain scalable data pipelines while collaborating with data analysts to understand their requirements. • Implement data integration solutions to support various business needs, ensuring data quality and integrity through rigorous testing and validation. • Optimise data systems for both performance and scalability.