Ensure that any data released meets CHIA’s standards by profiling and analyzing large, complex databases, identifying opportunities to enhance data quality, and resolving data quality problems.
Compensation
We offer a competitive salary range of $75,826.40 - $125,924.24 for this position. Salary is commensurate with experience.
Responsibilities
Work on a team of DQA Analysts and collaborate with other Data Operations Technology groups and internal Business Partners
Provide data profiling expertise for the data sets CHIA releases, such as, the Massachusetts All-Payer Claims Database (MA APCD) and Hospital Encounter Data
Use profiling results to define specifications for data quality assurance processes and ongoing monitoring of data
Determine the root cause for data quality errors and make recommendations for both long and short-term solutions
Identify and develop process improvements to enhance overall data quality
A hands-on knowledge engineer growing into a team lead, well versed in the full knowledge graph development lifecycle, turning scattered customer service knowledge into a single, trusted source of truth for AI agents and service agents.
Compensation
Hourly Salary Range
California $30.67 to $98.94
Responsibilities
Assess a client's service knowledge landscape
Build knowledge graph components that consolidate service knowledge into one source of truth
Design and maintain service ontologies and taxonomies
Build ingestion and curation pipelines for unstructured content
Make the knowledge base the trusted input for AI through knowledge graphs, GraphRAG, and vector search
Applies strong engineering techniques and quantitative methods to provide solutions and best business practices in various areas of the organization, serving as a subject matter expert to internal and external customers.
Compensation
This position may be eligible for annual bonus and incentives based on profitability or volumes in accordance with the terms of the Company’s bonus and incentive plans, as applicable and in effect from time to time.
Responsibilities
Utilize specialized knowledge of the business and areas of expertise to serve as a subject matter expert for the organization
Interpret business issues and requirements to provide optimal solutions
Evaluate and solve complex and ambiguous problems using technical and quantitative methods
Lead and/or support interdisciplinary projects to accomplish business goals
Present complex technical information and sell engineering solutions to external customers and internal leadership
Requirements
Bachelor's degree in Industrial Engineering
Bachelor's degree in Management Information Systems
Serve as Key Personnel on the FBI DSSU contract, driving technical innovation and integration strategy for the N-DEx ecosystem, leading complex integration efforts, designing new vendor solutions, and overseeing data standardization practices.
Responsibilities
Design new vendor solutions, recommend integration strategies, and drive technical innovation for data ingestion and system federation
Develop, maintain, test, and validate complex transformation code to ensure data quality and compliance with standards
Oversee daily data integration operations and coordinate the deployment of transformation code to source systems
Mentor Mid-Level and Junior Data Integration Specialists and lead complex integration efforts
Design, develop, test, deploy, and maintain backend services and REST APIs supporting production software platforms using C++ and Python.
Compensation
The salary range of $100,000 - $167,000 is just one component of Panasonic’s total package. The final offer amount may vary based on factors including but not limited to individual’s knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives.
Responsibilities
Design and develop backend applications, services, and REST APIs using C++ and Python
Develop clean, maintainable, testable, and production-quality software following established engineering standards and design principles
Design service interfaces, API contracts, data models, and backend workflows supporting distributed applications
Develop and maintain integrations between backend services and internal or external systems
Develop unit, integration, and automated tests to ensure software quality and reliability
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field
Join our internal software team to develop and extend our in-house Manufacturing Execution System (MES). You'll work directly with our electronics manufacturing line to integrate production equipment, build end-to-end product traceability, and connect manufacturing data with operations and fulfillment systems.
Compensation
we offer a competitive compensation and benefits package
Responsibilities
Develop and maintain MES services that integrate with production line equipment, inspection systems, and line management software
Design and implement traceability across work orders, serial numbers, parts, lots, and material consumption
Integrate MES data with operations, fulfillment, and ERP systems
Maintain production databases, including schema changes, data retention, and backups
Own the software and firmware behind metal production reactors, designing operator workflows, sensor data capture, and data pipelines connecting sensor history to lab results.
Compensation
Competitive salary, commensurate with, and based on, skills and experience.
Equity sign-on package.
Responsibilities
Own software stack for metal production reactors, from device-level code to operator interface and data storage.
Design operating workflow and GUI for reactor setup, monitoring, and shutdown.
Write and maintain software to query instruments over Ethernet and other communication buses.
Architect and build a data pipeline to capture, store, and query reactor sensor data.
Develop pipelines to establish provenance of material and process data.
Build backend systems for agent evaluation and continuous improvement, design data models, own enterprise integrations, and deliver features from design to deployment while working with customers.
Compensation
Base salary: $180,000 to $200,000 annually. Visa sponsorship is available.
Responsibilities
Build backend systems for agent evaluation and continuous improvement
Design and evolve data models for evaluation datasets, experiment runs, agent traces, knowledge versions, findings, and customer-defined quality criteria
Own enterprise integrations from authentication and data synchronization through retries, monitoring, and production support
Take features from technical design and implementation through deployment, monitoring, customer feedback, and iteration
Work with customers to diagnose issues and turn their needs into reusable product capabilities
Requirements
Bachelor's degree in computer science or a related field
Pragmatic builder of products focused on backend development for AI enablement within a company that inspires lifelong readers.
Compensation
This is a full-time salaried role with a compensation starting at $135,000.
Responsibilities
Implement internal tools and services to allow users to gain more productivity through ai-tooling
Architect backend solutions, potentially including data services, MCP servers, and one-off applications to support end-user AI interactions
Work directly with internal stakeholders to understand their problems and processes in order to identify opportunities for acceleration through AI tooling
Train and guide internal teams on how to effectively adopt and use newly created and available AI tools and workflows
Evaluate internal feedback to iteratively refine tools, moving beyond simple no-code/vibe-coded solutions to deliver production grade software where appropriate
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience
Nice to have: Snowflake
Nice to have: deploying applications to AWS with Terraform
Nice to have: data visualization tools such as Metabase