Data Analyst / Engineer Job at Robert Half (Woburn)

Analyst, Data Engineering, Digital & Artificial Intelligence Department

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field
5+ years of professional experience in machine learning and deep learning
Demonstrated experience building and deploying AI agents and agentic workflows
Hands-on experience with large language models (LLMs) and generative AI technologies
Proficiency in Python and relevant ML/DL frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
Deep understanding of LLMs and their optimization for enterprise use cases
Working knowledge of ontologies, knowledge graphs, and semantic technologies
Familiarity with cloud-based AI tools, particularly within the Microsoft Azure ecosystem
Strong analytical and problem-solving skills with attention to detail

Job Responsibility

Design and implement generative AI agents using large language models (LLMs)
Develop agentic workflows where AI agents collaborate seamlessly across business processes
Leverage state-of-the-art LLMs to create custom generative AI solutions tailored to business needs
Optimize AI agents for performance, reliability, and scalability within enterprise environments
Build and integrate ontologies and knowledge graphs into AI workflows to enhance data organization, retrieval, and reasoning
Apply semantic technologies to enable AI agents to operate within structured business contexts
Work closely with data analysts, data scientists, and application developers to integrate AI agents into end-to-end solutions
Utilize tools like Microsoft Semantic Kernel to enable seamless AI collaboration across workflows
Stay updated on advancements in generative AI, multi-agent systems, and related technologies
Explore innovative techniques and tools to improve AI agent capabilities and performance

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Engineering Data Analyst - SAP

Seeking SAP Engineering Data Analyst for a fulltime position with benefits.

Location

United States , Auburn Hills, Michigan

Salary:

Not provided

GlobalEdge Technologies

Expiration Date

Until further notice

Requirements

Strong Excel capabilities
SAP Experience a must
Positive attitude, flexible and ability to adapt to changes
Task oriented with great attention to detail
Curious individual that will dig deeper into issues
Ability to work independently, learn from mistakes and implement processes for improvement
BS preferred
High school Diploma or equivalent required
SAP Experience

Job Responsibility

Understand Bills of Material (BOMs), and how these are managed in SAP
Create/update/correct BOMs in SAP
Ensure BOMs accurately reflect true conditions of products
Develop and prioritize action items for BOM maintenance
Research competitor part number interchanges
Research OE part number references
Identify and benchmark key competitor features, benefits, and product attributes
Update Excel interchange database
Assist with category management research
Adhoc tasks as needed to support product services and solutions projects

Fulltime

Data Engineering Support Engineer / Manager

Wissen Technology is hiring a seasoned Data Engineering Support Engineer / Manag...

Location

India , Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Bachelor of Technology or master's degree in computer science, Engineering, or related field
8-12 years of work experience
Python, SQL
Familiarity with data engineering
Experience with AWS data and analytics services or similar cloud vendor services
Strong problem solving and communication skills
Ability to organise and prioritise work effectively

Job Responsibility

Incident and user management for data and analytics platform
Development and maintenance of Data Quality framework (including anomaly detection)
Implementation of Python & SQL hotfixes and working with data engineers on more complex issues
Diagnostic tools implementation and automation of operational processes
Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment
Support research analysts and traders with issue resolution

Fulltime

Data Analyst

As a Data Analyst at AMS, you'll launch your career by working on meaningful, mi...

Location

United States , Knoxville

Salary:

Not provided

Analysis and Measurement Services

Expiration Date

Until further notice

Requirements

Holds (or is on track to earn) a bachelor’s degree in engineering, computer science, data science, mathematics, or a closely related technical discipline
Demonstrates strong analytical thinking and attention to detail
Works effectively on teams
communicates clearly
takes initiative
Shows a strong work ethic and reliability, including openness to occasional extended hours and flexibility to travel
Is willing to be trained in AMS’s specific analysis methodologies
Exhibits a growth mindset, is open to feedback, and is eager to develop expertise
Brings intellectual curiosity and genuine enthusiasm for learning how instrumentation and control systems function
U.S. citizenship is required

Job Responsibility

Use AMS proprietary software tools to analyze nuclear plant sensor data and assess the health of critical instrumentation
Review and interpret complex datasets from plant computer systems, apply training and engineering judgment to assess data quality, identify anomalies, and inform maintenance decisions
Prepare clear, well-organized analysis outputs and contribute to technical reports delivered to clients
Ensure work is done in a timely fashion to meet commitments to clients and notify management of any roadblocks
Communicate effectively with team members, senior engineers, and client plant personnel regarding data issues, anomalies, and project status
Follow rigorous procedures, documentation standards, and quality guidelines consistent with 10CFR50 Appendix B compliance
participate in ongoing training
Travel 4-8 times per year (averaging 4 days per trip) to nuclear power plants and other facilities to support field data collection, conduct on-site analysis, and collaborate directly with plant engineering teams

What we offer

Health Coverage – Generous employer contributions toward comprehensive health, dental, vision, life, and disability insurance
Retirement – 401(k) with generous employer matching contributions
Paid Time Off – 20 days annual vacation plus at least 10 paid holidays per year
Professional Development – mentorship by senior engineers and PhDs, access to professional conferences, and continuing education opportunities
Career Growth – Annual salary reviews, raises, and advancement opportunities

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Digital Software Engineering Analyst

The Digital Software Engineering Analyst is accountable for developing high-qual...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology (4-year graduate course)
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

What we offer

Global benefits designed to support well-being, growth and work-life balance

Fulltime

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables
Support to team throughout the implementation process, answering questions and addressing issues as they arise

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Data Analyst / Engineer

Robert Half

Location:
United States , Woburn

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 16, 2026

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