Engineering Jobs in Massachusetts Remote

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)

On-site Burlington, Massachusetts

Ongoing contract on a W-2

We are looking for a Field Engineer that ideally has previous linear water rehabilitation experience i.e. sewers. This will be an onsite role for a sewer rehabilitation project for a utility client in Boston. They will be providing Owner's rep services and be reviewing drawings, RFI's, etc. to provide technical support out in the field to the main contractors out in the field. This person will coordinate back with the design engineer office to determine if changes need to be made.

Provide subcontractors with information and direction, as outlined within contract specifications, to allow the work to proceed as scheduled. Authority to interpret technical requirements and provide solutions in conjunction with discipline Project Department Engineer and Discipline Superintendent, to provide drawings and data, and to direct work as assigned and consistent with Company's contractual commitments. May perform subcontract administration of discipline specific or assigned procurements. Interprets and administers fundamental commercial issues. Position may transition to assistant superintendent or startup engineering role. May perform in an EPC environment where Company is either solely responsible or in a Joint Venture/Consortium with others. Provides technical direction/interpretation of design drawings and specification requirements, as well as general guidance to subcontractors on overall design. May perform fundamental design checks and re-design in the field without supervision. Provides commercial direction, interpretation of subcontracts, and administers discipline specific or assigned contract requirements in coordination with Field. Subcontract Administrator or Procurement Manager. Reviews, maintains records, and responds to Contractor Information. Requests (CIRs) as assigned. Monitors assigned subcontractor(s) for compliance with subcontract technical requirements. Monitors discipline construction activities for compliance with the CPM schedule. Prepares and issues all discipline extra work authorization requests (RFMPs/WAs) with the approval of the Project Field Manager Coordinates with Field. Subcontract Administrator as needed. Maintains a daily log for site record purposes. Completes quantity take-offs as required to support construction planning and invoice approval. Reviews all subcontractor progress payment requests for acceptance. Monitors technical service representative (supplier) daily logs and reviews/approves their timesheets. Compiles and maintains Conformed to Construction Records drawing and list markups as assigned. Directs site document control activities for design documents. Assists Field Quality Assurance Manager in performing inspections and verification of tests. Adheres to safety and quality standards as appropriate for level of duties and accountabilities. Supports continuous improvement efforts and the change management effects associated with the implementation of improvements. Provides commercial direction, interpretation of subcontracts, and administers discipline specific or assigned contract requirements in coordination with Field Subcontract Administrator or Procurement Manager. Reviews, maintains records, and responds to Contractor Information Requests (CIRs) as assigned. Acts in capacity of a \"lead person\" Does not have management responsibility for the people to whom they provide work direction except as assigned Directs other discipline engineers, general foreman, craft personnel, TA's, and vendor representatives.

Education: MUST have a BS in engineering. Preferrably Civil since it is dealing with underground construction (but not a deal-breaker)

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 Java/Kotlin engineer
Remote
6+ Month Contract: $70-$80 per hour
Our client is in search of a Senior Java Engineer for a 6+ month contract. You will lead the development and testing of our systems and services Participate in shaping the technical architecture of the product Help translate product requirements into user stories and technical solutions Deliver highly available and scalable services in a production environment Mentor other engineers, support the technical culture, and help grow the team Generate ideas for new initiatives and technologies Communicate with project leads, product managers and other software developers

• Systems Development: Lead and participate in the development and testing of our systems and services.
• Requirement Translation: Help translate product requirements into user stories and actionable technical solutions.
• Production Delivery: Deliver highly available and scalable services in a production environment.
• Cross-Functional Collaboration: Communicate effectively with project leads, product managers, and other software developers.

• Education: Bachelor's Degree in Computer Science or a related field.
• Experience: 4+ years of programming experience, ideally using a modern stack.
• Backend Expertise: 2+ years of experience with Java or Kotlin.
• Core Stack Knowledge: Familiarity with our environment ( Java/Kotlin, Spring, PostgreSQL, React) running on Kubernetes within a service-oriented architecture (100+ services).
• Database Proficiency: A solid understanding of relational databases and ORMs.
• Architecture: Experience working on SOA or microservice-based applications.
• Quality Standards: View Unit and Integration tests as first-class citizens in the software development lifecycle.
• Collaborative Workflow: Experience refining designs, performing code reviews, and managing pull requests in a team environment.
• Ownership & Mindset: * A solid sense of responsibility and the ability to drive projects from inception to completion

• Full-Stack Experience: Additional expertise in any of the following areas:
  • Systems: Kafka, Temporal, Docker, POSIX.
  • Databases: Deep PostgreSQL knowledge.
  • Front-End: JavaScript/TypeScript, React.

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. Candidates must live in one of the following states, and be prepared to pass a background check/identity verification process: WA, OR, ID, OH, SC, NC, TX, or FL

LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms.

Salary & Benefits:

• $150k to $185k annually (depending on location & experience)
• Medical, dental, and vision insurance
• 401(k) plan with employer match
• Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year.
• PTO included Four (4) personal days are granted immediately upon hire.
• Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year.
• Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status).
• Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community.
• Life and disability insurance

Minimum Qualifications:

• Bachelor's degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience).
• 6+ years experience in ETL pipelines, SQL Server, and production data workflows.
• 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics.
• 3+ years applying ML algorithms and transforming data science prototypes into production.
• 5+ years experience with CI/CD workflows for ML models and related code.
• Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques.
• Familiarity with agile methodologies (e.g., Scrum).

Responsibilities:

• Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML.
• Serve as Databricks Architect, managing workspace design, deployment, and governance across environments.
• Define and implement Databricks Lakehouse architecture and governance best practices.
• Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow.
• Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management.
• Set up and configure Azure and Databricks infrastructure for AI/ML workloads.
• Review ML model code and analytics scripts for quality and performance.
• Design and build data pipelines and cloud services for monitoring, analysis, and reporting.
• Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data.
• Provide production support and performance tuning for data engineering workflows.
• Optimize complex SQL queries and stored procedures for data processing and business logic.
• Collaborate with cross-functional teams to ensure data quality and support business decision-making.
• Scale and deploy machine learning models to handle large-scale data.
• Feed raw data into models and build deployment pipelines for new models.
• Implement logging, observability, and performance monitoring for AI/ML systems.
• Conduct architecture reviews and performance testing.
• Perform other duties as assigned.

Preferred Qualifications:

• Master's degree in a related field.
• Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications.
• Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services.
• Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables.
• Strong math, problem-solving, and rapid learning skills.
• Excellent communication, organization, and independent work capabilities.
• Service-oriented mindset with ability to handle ambiguity and build strong relationships.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance

Our biotech client is seeking a Communications Project Manager to support Corporate Communications and R&D Communications in a part-time freelance capacity.

This is an ongoing 20 hours/week role with an expected duration of 6 months, with potential to extend. This position is fully remote and you will be reporting directly to the VP, Enterprise Communications.

The Communications Project Manager will serve as an operational and organizational engine for two fast-moving communications teams. This role ensures projects progress on schedule, leadership receives accurate and timely reporting, and executive-ready materials are consistently delivered. The ideal candidate is proactive, highly organized, experienced in cross-functional communications, and comfortable working directly with senior leaders.

Responsibilities

• Compile weekly project updates for the VP to support executive staff meeting discussions.
• Prepare and maintain monthly team reports for Corporate Communications and R&D Communications.
• Build quarterly business reviews (QBRs), consolidating inputs from multiple workstreams into executive-ready presentations.
• Create and update executive briefing books (1-2 per week), synthesizing complex information into clear, strategic narratives.
• Attend weekly team meetings (Wednesdays at 10 AM PST and Thursdays at 11 AM PST), maintaining agendas, tracking follow-ups, and ensuring all commitments are completed.
• Coordinate project inputs across cross-functional partners; track progress, identify risks, and flag blockers.
• Gather updates from stakeholders and ensure completeness, clarity, and alignment to team priorities.
• Synthesize themes across projects to identify patterns, insights, and strategic throughlines for reporting.
• Prepare materials in polished, executive-ready formats.
• Maintain project trackers, shared documents, and operational workflows across Airtable, OneNote, and Teams.
• Support the operational organization of both communications teams as they undergo structural changes, helping maintain consistency, accountability, and predictable information flow.

Requirements

• Minimum of 3 years of experience in project management, communications, executive support, or similar roles
• Experience supporting executive communications or communications teams.
• Strong organizational skills with demonstrated success managing multiple deadlines and stakeholder inputs.
• Proactive, self-starting working style with a Type A attention to detail.
• Exceptional written communication skills and comfort preparing executive-level materials.
• Ability to confidently engage senior leaders to request updates, clarify details, and push for high quality inputs.
• Comfortable synthesizing information and identifying key themes, insights, and priorities.
• Strong collaboration skills and a personable, professional presence.

Software Required:

• Airtable
• Workfront
• PowerPoint
• OneNote

In this position, you may have access to client or customer systems, confidential and/or proprietary information or data, including medical data.

Benefits

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

IDR is hiring for a 6 Month Contract to Hire Technical Product Owner
Join a leading organization in the data technology sector, where innovation and agility drive success. This fully remote role offers the opportunity to influence key data engineering initiatives, collaborating across diverse teams to deliver impactful digital products. If you're passionate about data solutions, thrive in fast-paced environments, and possess a strong technical acumen, this is your chance to make a difference and grow your career.

Position Overview for the Technical Product Owner:
• Act as a pivotal link between Data Engineering teams and business stakeholders to facilitate successful technology delivery across digital products
• Manage and prioritize data engineering product backlog, ensuring alignment with organizational objectives
• Author user stories and acceptance criteria, leading refinement sessions and sprint planning
• Lead Agile ceremonies including daily standups, sprint reviews, and retrospectives to ensure smooth delivery
• Utilize data and AI tools to analyze issues, optimize workflows, and maintain high quality in product artifacts

Requirements for the Technical Product Owner:
• Proven experience in stakeholder interaction and managing product backlogs in an Agile environment
• Strong documentation skills and the ability to communicate complex technical requirements effectively
• Proficiency with SQL, data engineering processes, and related technologies such as Azure SQL, Data Factory, SSIS, and Azure Data Lake
• Familiarity with Microsoft tech stack and data delivery tools is highly preferred
• Solid understanding of data engineering concepts and successful delivery of technical products

What's in it for you?
• Opportunity to work remotely with flexible hours, supporting a dynamic team that values innovation and autonomy
• Competitive pay rate of $60-68/hr, leading to an annualized salary of approximately $135,000 + 10% STIP
• Be part of a company with a strong focus on data-driven solutions and cutting-edge technology adoption
• Gain hands-on experience with AI-driven processes and advanced data engineering tools

Why IDR?
• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Dedicated Engagement Manager who is committed to you and your success
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.
REMOTE