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Today

Data Engineer

A-dec, Inc. (USA) Newberg, OR

Newberg, OR

Today

Full time Azure Azure Data Factory Azure Data Platform

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Job Description

A-dec, Inc. (USA) is hiring a Data Engineer to help expand and optimize data and data pipeline architecture for cross-functional teams. This onsite role in Newberg, OR focuses on delivering reliable data flow into the EDW and improving the company’s data warehouse to support next-generation products and data initiatives.

What you’ll do

Build real-time and batch data integrations from disparate source systems into the EDW.
Design and implement real-time ETL and batch processing to support modeling and reporting needs.
Write complex SQL queries for reporting and application consumption.
Assemble large, complex data sets that satisfy functional and non-functional business requirements.
Scale and tune data pipelines, databases, and SQL queries to improve performance and reliability.
Provide production support for data integration and transformation pipelines, including troubleshooting.
Build and maintain data reconciliation processes and identify ways to improve data reliability, efficiency, and quality.
Find trends in data sets and develop algorithms to make raw data more useful to the enterprise.
Connect data to users across mixed cloud and on-prem environments.
Partner with the data architect and analysts to support modeling and reporting, and to build and maintain internal data processing and visualization.
Translate requests into replicable analytic reports using varying applications.
Create tools to serve data, including APIs and packages as needed.
Troubleshoot database software and data integrity issues, providing root cause analysis.

What you bring

Bachelor’s degree in Computer Science or a related technical field (or equivalent practical experience).
2+ years of experience in Information Technology with a focus on Business Applications, Data Engineering, Data Architecture, Data Analytics, and Science.
Good understanding of data warehousing and Business Intelligence environments.
Excellent problem solving, critical thinking, and communication skills.
Experience with distributed source code version control (e.g., git).
Experience with ticketing systems such as ServiceNow and/or JIRA.
Expertise with Python, strong skills with databases, and SQL.
Strong analytic skills working with unstructured datasets.
Experience with data pipeline and workflow management tools.

Tech you’ll work with

Python, SQL, git, ServiceNow, JIRA, EDW, Azure, Synapse, Azure SQL DB, Azure ML Pipeline, Azure Data Factory, APIs

Preferred qualifications

Experience with Azure environments such as Synapse, Azure SQL DB, Azure ML Pipeline, and Azure Data Factory.
Knowledge of machine learning and data science processes.
Experience building reports and dashboards using BI tools.
Basic knowledge of statistics.
Stellar communication skills for requirements gathering.

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14d ago

Lead Applied AI Engineer II - ServiceNow

Deloitte Hermitage, TN

Hermitage, TN

14d ago

$113k - $232k/yr Full time Backend Developer Manager Agentic Ai

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Job Description

Join Deloitte to lead applied AI and agentic engineering work for high-visibility, full-stack products, with end-to-end delivery from concept through production.

Responsibilities

Drive a culture of accountability for customer and business outcomes, including the cost of achieving them.
Design and deliver engineering solutions for complex problems with valuable outcomes, emphasizing high-quality, lean designs and implementations.
Own inference, token, and cloud cost for what you build.
Act as a technical advocate to ensure code integrity, feasibility, and alignment with business and customer goals.
Lead requirement analysis; produce low-level architecture and component design.
Own development, testing, integrations, and ongoing support for delivered components.
Maintain accountability for the integrity of architecture and technical stack against enterprise standards and strategy.
Manage dependencies and take responsibility for code design, implementation, quality, data, and ongoing maintenance and operations.
Stay hands-on, self-directed, and continuously learn new approaches, languages, and frameworks.
Create technical specifications and write scalable, supportable code.
Review engineers’ code, mentor team members, and help ensure all quality KPIs are met or exceeded.
Use collaborative communication to work effectively across diverse teams.
Build lean solutions using rapid, inexpensive experimentation to address customer needs.
Engage with customers and product teams before, during, and after delivery to ensure timely delivery of the right solution.
Adopt an evidence-led, action-oriented approach to address complexity and uncertainty.
Collaborate with empowered cross-functional teams including product management, experience, and delivery.
Balance feasibility, viability, usability, and value by integrating diverse perspectives and driving consensus.
Demonstrate deep expertise in modern software engineering practices, including AI and Agentic SSDLC, to enable daily product deployments with full automation from discovery to production to operations and quality checks across the SSDLC lifecycle.
Serve as a role model for solutioning and product delivery using these techniques.
Build domain knowledge quickly and translate business and user needs, architectures, and UX/UI designs into technical specifications and code.
Support teammates, prioritize quality, and focus on tech debt payoff.
Communicate complex technical concepts clearly and influence teammates and product teams through evidence-backed trade-offs.
Create coherent technical narratives that align solutions with business objectives.
Collaborate with product engineering teams at all organizational levels, including customers as needed.
Build and maintain constructive relationships to foster co-creation and shared momentum toward product goals.
Align perspectives and drive consensus on feasible solutions.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline.
6+ years of full-stack software engineering experience, including most of: JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL, REST/API integrations, ServiceNow application development and deployment patterns, LangChain, LangGraph, and unit and integration testing frameworks.
3+ years building AI/ML and agentic applications, including hands-on GenAI across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration, plus applied AI capabilities on ServiceNow.
3+ years cloud-native engineering experience using FaaS, PaaS, micro-services, or enterprise platform deployment models, including Azure, AWS, GCP, and AI/ML services such as ServiceNow NowAssist, along with application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
1+ years establishing engineering standards, including leading, mentoring, and guiding adoption and continuous improvement.
Software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, plus AI-augmented spec-driven development.
Experience with methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, Automated Test Framework (ATF), MLflow, and agentic AI frameworks (for example ServiceNow NASK, MCP, LangFuse, LangSmith, or equivalent multi-agent orchestration tools).
ServiceNow engineering experience including platform architecture, workflow automation, integrations, and AI-enabled ServiceNow capabilities, with ability to translate product needs into scalable enterprise solutions.
Preferred certifications may include ServiceNow Certified System Administrator, Certified Application Developer, CIS-HRSD, CIS-Data Foundations, CIS-ITSM, CIS-IRM, CIS-SPM, AI/GenAI-focused ServiceNow credentials, or relevant cloud/AI certifications.
Must be located within commutable distance to the role location.
Ability to work in the local office at least 3 days per week.

Technologies

JavaScript/TypeScript, Angular, React, NodeJS, Python, SQL/NoSQL
REST/API integrations, ServiceNow application development and deployment patterns
LangChain, LangGraph
OpenAI, Anthropic, RAG pipelines, prompt engineering, vector databases, AI agent orchestration
ServiceNow, ServiceNow NowAssist, infrastructure-as-code, FinOps
FaaS, PaaS, micro-services; Azure, AWS, GCP
Business Context Diagrams (BCD), OOP/OOD, data structures, algorithms, code instrumentations
Unit and integration testing frameworks, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube
Automated Test Framework (ATF), MLflow
ServiceNow NASK, MCP, LangFuse, LangSmith
ServiceNow certifications including System Administrator and Certified Application Developer; CIS-HRSD, CIS-Data Foundations, CIS-ITSM, CIS-IRM, CIS-SPM; AI/GenAI-focused ServiceNow credentials

Other

Travel: 10% average, based on work and products built.
Limited immigration sponsorship may be available.
Must be located within commutable distance and work onsite minimum of 3 days per week.

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It Service Management Data Jobs

Data Engineer

Lead Applied AI Engineer II - ServiceNow

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