Engineering Jobs in Wakefield Middlesex County, MA

• 10+ years of experience in software engineering
• Proficient in Python with experience building tools using widely adopted libraries such as Pandas, NumPy, Requests, BeautifulSoup, FastAPI, and SQLAlchemy
• Skilled in packaging, testing, and deploying Python applications using tools like pytest, setuptools, and Docker
• Hands-on experience designing, deploying, and managing cloud-native applications using AWS services (e.g., EC2, Lambda, S3, RDS, CloudFormation), with a strong grasp of scalable and secure architecture principles.
• Experience designing and operating DevOps platforms including CI/CD pipelines, infrastructure as code (e.g., Terraform, Jenkins), and container orchestration using ECS or EKS - Experience designing and operating monitoring, logging, and performance optimization tools (e.g., OpenSearch, Open Telemetry, CloudWatch, X-Ray)
• Excellent written and verbal communication
• Attention to detail, self-discipline, and passion to drive and innovate
• Must be comfortable with test-driven development, continuous integration, and agile development methodologies using tools like GIT, Artifactory, and Jenkins
• Experience working with offshore development teams is a plus
• Bachelor's degree in computer science, engineering, math, or related field, or equivalent experience is preferred

Estimated Min Rate: $140,000.00
Estimated Max Rate: $165,000.00
What's In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Bioinformatics Scientist – Antibody Discovery

A growing global veterinary pharmaceuticals organisation is looking for a Bioinformatics Scientist to support antibody discovery programmes for companion animals (dogs, cats, horses).

Working closely with senior R&D leadership, this role will focus on applying bioinformatics, sequencing data analysis and protein modelling to identify and optimize therapeutic antibody targets.

Key Responsibilities

• Analyse genomic, DNA-seq and RNA-seq datasets to support antibody discovery
• Apply bioinformatics and modelling approaches to evaluate and optimize antibody candidates
• Contribute to protein modelling and in-silico antibody engineering (e.g. liability remediation, biophysical optimization)
• Curate and integrate genomic datasets for companion animal species
• Collaborate closely with discovery biology and R&D teams

Key Requirements

• At least 1 year of experience working with therapeutic antibodies (essential)
• Experience analyzing next generation sequencing datasets (DNA / RNA-seq)
• Background in bioinformatics, computational biology or structural biology
• Familiarity with protein modelling / antibody engineering tools (e.g. MOLE, Rosetta or similar)
• Strong communication skills and ability to work cross-functionally with scientific teams

This is an exciting opportunity to contribute to cutting-edge biologics discovery in animal health, helping develop next-generation therapies for companion animals.

If interested, please reach out for a confidential discussion.

This isn't a traditional AppSec role. It sits right at the intersection of AI-driven development, SaaS security, and financial-grade risk management—and they need someone who can help shape how security evolves alongside modern engineering.

Why this role stands out:

• Ownership of AppSec across 20+ SaaS applications in a highly regulated financial environment
• Direct involvement in securing AI-assisted development (Copilot, Cursor, Codex)
• Hands-on with AI-powered pentesting tools + modern SAST/DAST pipelines
• Opportunity to define secure AI coding guardrails (this is a big focus area for them)
• High collaboration with engineering, risk, and compliance—this is a true partner role, not a silo

What they're looking for:

• Strong background in application security + secure SDLC (SAST, DAST, SCA)
• Experience with code review (Python, C#, Java, or JavaScript)
• Exposure to AI-driven development environments and their security implications
• Ability to balance technical risk with business impact (this is key in their environment)
• Bonus if you've worked with SSPM tools or SaaS security at scale

• Location: Boston (4 days onsite)

Job Overview:

We are seeking a Data Engineer to support data pipeline development and ETL processes.

Responsibilities:

Build and maintain ETL pipelines

Optimize database performance

Work with structured and unstructured data

Ensure data integrity

Requirements:

Degree in Data Engineering or related field

Knowledge of SQL, Python

Familiarity with data warehousing concepts

Job Title - Embedded Software Engineer (CIP / EtherNet/IP)

Location - Boston, MA, USA – Onsite (Relocation Available)

Employment Type - Contract / Full-time

About the Role

We are seeking a skilled Embedded Software Engineer with strong expertise in CIP (Common Industrial Protocol) and EtherNet/IP to support the development of industrial communication solutions. This role involves working on embedded systems, protocol stack integration, and real-time communication within industrial environments.

The ideal candidate will have hands-on experience in embedded C/C++ development, industrial networking protocols, and device-level integration, with a strong focus on interoperability and compliance standards.

Key Responsibilities

• Develop and maintain embedded software solutions using C/C++ for industrial devices

• Implement and integrate CIP / EtherNet/IP protocol stacks for Adapter or Scanner devices

• Work with RTOS environments such as FreeRTOS, ThreadX, or similar platforms

• Integrate and optimize TCP/IP stacks and Ethernet drivers for embedded systems

• Perform debugging and troubleshooting using tools such as Wireshark

• Ensure compliance with ODVA standards and support interoperability testing

• Collaborate with cross-functional teams to design, test, and validate embedded solutions

• Participate in system-level testing, validation, and performance optimization

Mandatory Skills & Qualifications

• 5–10 years of experience in embedded software development

• Strong hands-on experience with CIP / EtherNet/IP protocols

• Experience in protocol stack integration (Adapter or Scanner)

• Proficiency in C and C++ programming for embedded systems

• Experience working with RTOS platforms (FreeRTOS, ThreadX, etc.)

• Strong understanding of TCP/IP networking and Ethernet driver integration

• Must have experience with ODVA compliance and interoperability testing

• Experience using Wireshark or similar tools for debugging network communication

Preferred Skills

• Experience working in industrial automation or embedded device engineering environments

• Familiarity with real-time communication systems and industrial networking standards

• Strong problem-solving and troubleshooting capabilities

Why Join Us

• Work with cutting-edge technologies in a collaborative environment

• Professional growth opportunities and training support

• Inclusive, equitable, and respectful workplace culture

About NetworkPedia

NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and innovative technology while building inclusive teams that reflect the communities we serve.

As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles. We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability.

How to Apply

Apply directly via LinkedIn Easy Apply. All applications are routed to our central recruitment email id -

AI Ethics Specialist, Standards, Measurement & Governance | Just Horizons Alliance

Join us to define the standards that hold AI systems accountable.

The situation

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We currently have a first version of the framework that is validated and in use. Now we're investing in the next phase: sharper indicator definitions, stronger construct validity, governance processes that hold up to external scrutiny, and measurements that work across domains from education to healthcare to finance.

This is the first dedicated hire to drive the standards and governance layer end-to-end.

What you'll actually do

Months 1–3: Learn the system

Work through the existing L4 indicator library with Sophia. Understand where definitions need tightening, which constructs require the most interpretation, and how the evaluation engine turns indicators into measurements. Start giving developers working definitions they can implement.

Months 4–6: Build the governance infrastructure

Lead the development of a versioning and change control process for the Index. Define disclosure policies. Formalize internal ethical oversight processes. Collaborate with domain experts in education, healthcare, and finance to validate indicators across contexts.

Months 7–12: Drive the standard

Be the person who gives definitive answers on construct interpretation. Manage the L4 indicator framework as a living, governed document. Represent the methodological rigor of the Index in external conversations with regulators, academics, and the organizations being evaluated.

Why this role is hard

You're working at the frontier of a field that does not have settled answers. There is no ISO standard for AI ethics measurement. The frameworks you're building will be contested by academics, challenged by the AI companies being evaluated, and scrutinized by regulators. You need to make defensible decisions under genuine uncertainty, document your reasoning clearly, and communicate it to people who will disagree.

The daily work involves uncomfortable specifics. What does \"sexually explicit content\" mean when an LLM is used in a youth education context—a tutoring app, a storytelling tool, an educational assistant? Where exactly is the boundary? You have to define it in terms a developer can implement and an auditor can verify.

The pace is weeks, not semesters.

You're probably the right person if

You've taken an abstract ethical principle and turned it into something a developer could build or a compliance team could audit

You understand NIST AI RMF or the EU AI Act at a working level — not awareness, but enough to argue about the details

You have external credibility in the field: publications, recognised work, advisory roles, or a title that carries weight

KYC, compliance, or governance experience is part of your background alongside ethics expertise

You work at the pace of decisions, not the pace of studies

You can hold a substantive conversation with a software developer about API behaviour and with a philosopher about construct validity — on the same day

You can read an inter-rater reliability methodology and understand what it means for your indicator definitions

You're probably not the right fit if

Your background is purely academic ethics — you've written and published but never operationalized anything

You need months of research before committing to a position on a specific indicator definition

You're primarily a communicator or writer about AI ethics rather than a practitioner of governance

You're based on the West Coast US or don't work in East Coast US or Western Europe time zones

You see \"working with developers\" as someone else's job

Hard Skills

These are the domain and technical capabilities you need going in — or need to be able to build up fast. You don't need to be an engineer. But you do need to learn quickly, including using AI tools to close knowledge gaps on the fly.

• NIST AI RMF and EU AI Act — working-level knowledge, not awareness. Enough to argue about the details and identify where a specific AI system fails to comply
• Construct operationalization — demonstrated experience translating an abstract ethical principle into a bounded, testable indicator that someone else can use
• Governance documentation — writing versioning policies, change control frameworks, and disclosure protocols that other people actually use day to day
• AI evaluation methodology — familiarity with how AI systems are benchmarked, where measurement goes wrong, and what validity means in a scientific context
• Basic technical literacy — able to read API documentation, understand what a model endpoint does.
• Statistical reliability concepts — inter-rater reliability, aggregation methods, and what it means for a measurement to be valid versus merely reliable
• KYC or compliance frameworks — experience building governance processes that have real enforcement teeth, not just principles documents that no one is held to

What you get

The role: Work directly with Sophia Zitman (AIEI Team Lead) as the person who owns the methodological integrity of the AI Ethics Index. Direct daily collaboration with the development team.

The comp: $110,000

The team: Small, split between ethicists and engineers. Interview panel: Janet Kang and Sophia Zitman.

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones strongly preferred. Deliberate, rigorous culture.

The upside: You'll have built the governance foundation of what may become the globally referenced standard for AI ethics measurement. That is a genuinely consequential body of work.

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Job Overview

We are seeking a highly skilled Mechanical Engineer to support the development of advanced mechatronics and automation systems. The ideal candidate will have strong experience in mechanical design, prototyping, and production-level development, with the ability to work efficiently in a fast-paced engineering environment.

This role involves working on innovative mechanical assemblies integrated with electronics and automation systems, supporting the entire product lifecycle from concept and prototyping to production deployment.

Key Responsibilities

• Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks.
• Perform mechanical tolerance stack-up analysis and engineering calculations.
• Develop mechanical assemblies for electronics and automation systems.
• Support rapid prototyping and production tooling processes.
• Collaborate with cross-functional engineering teams to ensure design feasibility and manufacturability (DFM).
• Manage engineering data and product lifecycle using Agile PLM tools.
• Document engineering designs and communicate technical concepts through reports and presentations.
• Support prototype deployment and testing, including occasional travel to East Coast sites.

Required Qualifications

• Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field.
• Strong proficiency in SolidWorks MCAD for 3D modeling and 2D drafting.
• Experience with Agile PLM systems.
• Solid knowledge of mechanical assemblies, electronics integration, and automation design.
• Expertise in mechanical tolerance analysis and stack-ups.
• Hands-on experience with rapid prototyping and production tooling.
• Strong project management and problem-solving skills.
• Excellent communication and technical documentation skills.

Preferred / Additional Skills

• Thermal Simulation Analysis
• Structural Load Analysis
• Experience working in automation, robotics, or mechatronics environments

Work Environment

This position is onsite and involves collaboration with engineering teams working on cutting-edge mechatronics and automation systems. The role provides the opportunity to contribute to innovative product development from concept through production deployment.

POSITION TITLE: Principal Software Engineer

REPORTS TO: Director of Engineering

LOCATION: Remote / Hybrid in Boston area

About InSite Health

InSite Health is on a mission to expand access to high-quality behavioral health care for students and families. Our engineering team builds the technology that powers clinical excellence, operational efficiency, and meaningful outcomes across the schools and communities we serve.

We're looking for a Senior Software Engineer who thrives in a fast-moving environment, enjoys solving complex technical challenges, and wants to impact real-world mental health care delivery.

This is an individual contributor role ideal for someone who loves building robust, scalable systems and collaborating closely across product, clinical, and operational teams.

What You'll Do

Core Engineering Work

• Design, build, and deploy scalable, secure, and compliant systems across front-end, back-end, and data layers
• Development and maintain infrastructure-as-code system (CDK) to enable new features and improve reliability and security.
• Develop features and technical solutions in partnership with Product and Engineering leadership
• Debug, monitor, and optimize systems for speed, reliability, and user experience

Systems Design & Integrations

• Build data pipelines and integrations with EHRs, student information systems, and internal platforms
• Enhance workflow automation to improve clinical and operational efficiency
• Implement HIPAA-compliant architecture, access control, and data protections

Cross-Functional Collaboration

• Work closely with the VP of Product and Director of Engineering
• Translate technical requirements into scalable solutions that support organizational priorities
• Provide leadership and mentoring to less experienced developers

You'll Be Measured On

• Timely delivery of high-quality product features and system improvements
• System uptime, data integrity, and security compliance
• Efficiency improvements from workflow automation
• Successful integrations across clinical and data systems
• Satisfaction from internal teams and cross-functional partners

What We're Looking For Required Qualifications

• 7+ years of experience building and maintaining data-intensive platforms
• Strong understanding of system architecture, cloud infrastructure, and API integrations
• Experience with Agile development and strong operational discipline
• Excellent communication skills across technical and non-technical groups
• Experience with React.js and frameworks such as Next.js
• Fluency in JavaScript (TypeScript preferred) and SQL
• Experience with AWS (e.g., ECS, Lambda, CloudFormation, Cognito), MongoDB/Amazon DocumentDB, and HIPAA-compliant systems
• Familiarity with Jest or similar testing frameworks

Preferred Qualifications

• Experience in healthcare or knowledge of regulatory standards (e.g., HIPAA)
• Background in EdTech or experience working with school systems
• Experience with mobile development (e.g., React Native)
• Prior experience in a startup or high-growth environment

Who You Are

You bring curiosity, ownership, and initiative to your work. You're comfortable navigating complexity, thinking strategically, and collaborating with diverse teams. You enjoy building systems that people rely on — and you care deeply about getting things right.

Why Join InSite Health?

• Mission-driven work with direct impact on student mental health
• Collaborative, supportive engineering culture
• Opportunity to shape systems from the ground up
• Flexible remote/hybrid environment
• If you're looking for a role where your technical expertise helps improve lives, we'd love to hear from you.

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus