Remote Data Engineering & Analytics Jobs

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Role Overview The Database Architect designs, implements, and optimizes the database architecture that powers Intelerad 's medical imaging solutions. This strategic technical leader will be responsible for creating scalable, secure, and high-performance database systems that support our PACS, RIS, and enterprise imaging platforms serving healthcare providers and imaging centers globally. The ideal candidate brings deep expertise in database design, data modeling, and performance optimization within large-scale, mission-critical environments where system reliability directly impacts patient care. This role requires balancing technical excellence with business needs, collaborating across engineering, infrastructure, and product teams to ensure our data architecture supports both current operations and future growth in the healthcare IT sector. Key Responsibilities Design and implement enterprise-wide database architectures for Intelerad 's medical imaging platforms, ensuring scalability, performance, and reliability to support healthcare providers' diagnostic workflows and patient care delivery across multiple deployment models including on-premises, cloud, and hybrid environments. Develop and maintain comprehensive data models, schemas, and database documentation that align with healthcare interoperability standards including DICOM, HL7, and FHIR, while optimizing storage strategies for large-scale medical imaging data and ensuring efficient retrieval for clinical workflows. E

This is a remote position. Our client is looking for a proactive and upbeat Data Entry Specialist to join their growing team. As a trusted player in the legal industry, they have made significant strides in the last few years, continually adapting and expanding their operations. This role requires someone with attention to detail, excellent organizational skills, and the ability to manage data with accuracy and efficiency. Responsibilities: Enter data accurately and efficiently into the company's systems and databases. Review and verify data for errors and completeness. Maintain confidentiality of sensitive information. Collaborate with team members to ensure the timely and accurate entry of information. Follow up on data inconsistencies and discrepancies. Perform regular data backups and system updates as needed. Assist with reporting and document management. Requirements Proven experience in data entry or a similar administrative role. Strong attention to detail and commitment to accuracy. Proficient in using Microsoft Office Suite (Word, Excel, Outlook). Excellent organizational skills and ability to prioritize tasks. Ability to work independently with minimal supervision. High level of integrity and the ability to handle confidential information. Strong communication skills, both written and verbal. Qualifications: High school diploma or equivalent (Associate’s degree preferred). 1-2 years of experience in a data entry role or a related administrative position. Experience

Turner and Townsend are seeking a Pre-Construction Manager to lead pre-construction activities for data centre development projects, including planning, design coordination, cost management, procurement support, risk assessment, and stakeholder management. The ideal candidate will ensure projects are fully prepared for construction execution while meeting technical, commercial, and operational requirements. Key Responsibilities Manage pre-construction activities from project initiation to construction start. Coordinate with consultants, contractors, vendors, and internal stakeholders on project planning and design development. Review architectural, civil, structural, and MEP designs to ensure compliance with data centre standards and project requirements. Support budgeting, cost estimation, value engineering, and procurement planning. Drive tendering processes, vendor evaluations, and contract award recommendations. Identify project risks and develop mitigation plans. Internal Only Track project schedules, milestones, and key deliverables. Ensure compliance with regulatory, safety, and quality requirements. Facilitate design reviews and maintain effective stakeholder communication. Assistant Manager Degree in Engineering, Construction Management, Architecture, or related field. 5-8 years of project, engineering, construction, or infrastructure experience. Exposure to data centre, mission-critical, industrial, or large-scale building projects preferred. Manager Degree in Engin

Job Description Are You Ready to Make It Happen at Mondelēz International ? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. Media Data Platform team owns the collection, distribution of media data and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms and visualisation to drive media performance monitoring, new insight creation and activation automation back in the ad tech stack. Following our organization's exciting shift toward a product-oriented approach, we are evolving our data capabilities to deliver direct, high-impact value to our business stakeholders. We are seeking a versatile Full Stack Engineer with a strong foundation in Data Engineering to join our Media Data Platform team. In this role, you will be the bridge between complex data infrastructure and user-facing solutions. Position overview The Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high-quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours. You will work with other Product Team members (e.g., P

Cybersecurity Data Engineer Location: Remote, USA Employment type: Contract Indicative rate: $40–$50/hr Contract cybersecurity data engineering work focuses on orchestrating and transforming complex security telemetry flows. Engineers develop scalable ingestion architectures and reusable patterns that support enterprise security data operations. Projects may use Cribl, Vector, and other open-source or platform-agnostic tools to improve data routing, processing, and operational consistency. Core skills Security telemetry Data ingestion Data pipelines Cribl Vector Open-source data platforms Pipeline orchestration Reusable ingestion frameworks Required qualifications Experience engineering data flows or pipelines for security telemetry or comparable high-volume data. Experience designing and implementing scalable data ingestion pipelines. Experience with Cribl, Vector, or comparable data routing and ingestion platforms. Ability to develop reusable ingestion patterns, frameworks, or templates. Experience working with open-source or platform-agnostic data tooling. Ability to design modular, maintainable data flow architectures. Originally posted on Himalayas

Software Mind is seeking a Senior Data Engineer to join the Data Engineering team of one of our clients. This is a hands-on role focused on building and maintaining scalable data pipelines, ensuring data quality, and supporting analytics and reporting across the organization. Main Responsibilities Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources Build and optimize data models and processing workflows to support BI, analytics, and reporting needs Develop monitoring and alerting solutions to ensure pipeline performance and data quality Build insightful dashboards, reports, and datasets in Domo Integrate data from external APIs and third-party systems (e.g., Salesforce) Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams Translate business requirements into robust technical solutions Conduct code reviews and provide feedback to engineering team members Mentor other data engineers and contribute to onboarding efforts Participate in Agile ceremonies including standups, retrospectives, and planning Requirements 5+ years of experience developing and maintaining ELT/ETL systems Strong proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization Hands-on experience with Snowflake or BigQuery Proficiency in Python Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK) Experience building and maintaining data pipelines from

Company : Highmark Health Job Description : Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role. The Summer 2027 Data Science Research & Development (DSRD) Graduate Internship offers an exciting opportunity for graduate students to apply advanced data science, machine learning, artificial intelligence, and software engineering techniques to solve complex clinical and healthcare challenges. This internship is designed for highly motivated individuals who are passionate about leveraging cutting-edge technology to improve healthcare outcomes, advance medical research, and drive innovation across the healthcare industry. As a member of the Data Science Research & Development team, the intern will collaborate with a multidisciplinary group of researchers, data scientists, machine learning engineers, and software developers to develop innovative solutions utilizing clinical, medical, and healthcare insurance data. Interns will gain hands-on experience working on high-impact research initiatives that directly support healthcare transformation through advanced analytics, predictive modeling, artificial intelligence, graph technologies, computer vision, and generative AI. The internship is structured around four specialized research tracks, allowing participants to align their work with their technical background and research interests: Knowledge Graphs : Design and optimize graph-based healthcare data m

Apollo .io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo .io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo .io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Why this role exists The cost of going from idea to working prototype has collapsed. One person with taste, strong judgment, and AI tools can now do what used to take a team and a sprint cycle. Apollo is hiring for what comes next: Product Builders who combine product judgment, domain depth, and AI-native research and execution. This role owns Apollo Data , the data layer that is committed to providing the world’s most accurate B2B company, contact, and signal data to power a customer’s GTM stack. Apollo is expanding from “hel

Job Title: Senior Health Data Analyst - Compass Job Location: Boston, MA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As the Senior Health Data Analyst on the Compass Patient Team for Veeva Compass , you’ll focus on the health data in our Compass Patient data product. Veeva Compass is our suite of data products, with Compass Patient including prescription and medical claims record-level data to support more broad de-identified patient analytics for commercial use cases, like patient journey, market landscape, provider engagement, and more. You’ll own health data investigations and im

THE ROLE 📝 We’re looking for a Reporting & Data Analyst to help Form3 develop a more reliable, scalable and accessible reporting capability across the organisation. This is a six-month fixed-term contract with two clear priorities: completing and enhancing the Customer Service reporting suite in AWS QuickSight, and building trusted, reusable datasets that enable teams to create and maintain their own reporting. You’ll work across the business to improve data quality, reduce manual reporting and establish stronger documentation, governance and knowledge transfer for the future. Complete and enhance the Customer Service reporting suite and reporting deck in AWS QuickSight. Design, build and document reusable datasets for multiple reporting use cases. Integrate key business systems into curated reporting datasets. Translate stakeholder questions into clear data and dashboard requirements. Establish consistent business metrics, definitions and reporting logic. Automate manual reporting and duplicated data preparation where possible. Validate reporting outputs and investigate data-quality issues. Provide knowledge transfer to internal teams and support a longer-term reporting roadmap. WE’RE LOOKING FOR 🔍 Essential Experience in a Reporting Analyst, Data Analyst, BI Analyst or similar role. Hands-on experience building and maintaining dashboards using AWS QuickSight or a comparable BI platform. Practical experience using SQL and Python for reporting, data transformation or an

Risk Based Quality Management (RBQM) Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie ’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development continuum. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. Responsibilities For assigned projects, works with the cross-functional team to enable fit-for-purpose analytics solutions. Works with team to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized and follows the design principles and standards established by the team Leverages proven statistical methodologies and those methodologies established as standard by the team; in addition to leveraging proven statistical methodologies and standards established by the team, experiments and recommends additional techniques to solve business problems Enables data-driven insights to support of assigned projects If assigned, participates in functional innovation and process improvement initiatives; Ensures adherence to federal regula

Data Scientist (Senior Staff, Staff, & Senior roles available) About the company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting

City/State Austin, TX Work Shift First (Days) Overview: Sentara is hiring a Lead Healthcare Data Analyst! This position is fully remote. Overview The Healthcare Data Analyst Lead provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational performance. Promotes self-service analytics for customer adoption, understanding and use of data. Supports design of programmatic analyses and reporting capabilities in addition to business requirement definition for new analyses and performs ad-hoc analysis as directed. This position supports data quality and data stewardship functions to maintain data accuracy and identify new metrics. As a subject matter expert, the Healthcare Data Analyst Lead uses analytic skills to offer data-driven conclusions and recommendations to business partners. As an integrated health system, Sentara delivers analytics across a wide variety of domains, including payer functions, ambulatory, acute & post-acute care and support functions. The subject matter expertise required will vary based on the specific opening, but include the following: -Medical expense and trends -Quality including HEDIS reporting, interventions, and STAR ratings -Clinical gaps and adherence -Network Management contracting and pay-for-performance/value-based measures -State and Federal regulatory reporting -Employer groups reporting and client ad-hoc reporting related to clinical and financial service

Data Platform Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Data Platform Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of experience in distributed systems, infrastructure, or ML platform engineering. St

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. At CI&T, we're growing fast and looking for a talented, motivated Mid-level Data Developer to join our team. You'll play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our global clients. Key Responsibilities: Develop and maintain scalable data pipelines and infrastructure. - Collaborate with cross-functional teams to ensure data integrity and usability. - Document data workflows, processes, and architectures. - Integrate data quality into data pipelines. - Develop CI/CD pipelines for ETL processes. - Provide technical support and troubleshooting for data-related issues. Qualifications: Advanced English (reading, writing, and speaking). - Proven experience working with modern data engineering stacks in the cloud. - Experience with the Databricks platform is a must-have for this position. - Previous experience with Spark, Python, an

The Supplier Consulting Analyst III provides analytical support for healthcare supply chain consulting engagements, including customer onboarding, business process optimization, and solution adoption initiatives. This role collaborates with consulting and cross-functional teams to analyze customer and transactional data, identify improvement opportunities, and deliver actionable insights that support business strategies and operational efficiency. Principal Duties and Responsibilities: Analyze and reconcile customer account data across systems, identifying duplicates, unmatched records, and data quality issues. Analyze purchasing activity, transaction volumes, and customer connectivity to support onboarding plans and prioritization. Develop and maintain reports and dashboards measuring customer onboarding, transaction acceptance, adoption, utilization, and exceptions. Prepare analytical summaries, presentations, and other project deliverables for multiple concurrent engagements. Collaborate with internal teams to validate data, investigate discrepancies, and resolve reporting issues. Support data analysis and reconciliation for system implementations, integrations, migrations, and business transitions. Analyze customer contact and outreach data, including registration progress and communication results. Communicate analytical findings to internal stakeholders and present results to customers when appropriate. Standardize reporting templates, document analytical methods, and i

About Extend : Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend 's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: We’re looking for a Senior Data Scientist to join the Revenue & Risk Analytics team. You’re experienced at developing strategic recommendations grounded in data to scale, drive, and recover revenue. Technical expertise is just the table-stakes; business and strategic thinking takes you to the next level: you know which questions are worth asking, how each answer drives business impact, and how the answers change what the company does next. This is a highly versatile role. One quarter

Turner & Townsend are seeking an experienced Mechanical Construction Estimator to join our team. The ideal candidate will provide detailed and accurate cost estimates for mechanical systems in construction projects, ensuring effective cost management and project success. Responsibilities: Prepare detailed and accurate cost estimates for electrical systems in construction projects. Review project plans and specifications to determine the scope of work and required materials. Collaborate with project teams to develop comprehensive cost management plans. Analyze project requirements and provide value engineering options. Perform cost risk analysis and provide input into value engineering. Communicate and collaborate with clients, contractors, and other stakeholders. Utilize industry-specific estimating software and tools to prepare estimates. Provide estimating advice, guidance, and analysis to project stakeholders. Maintain up-to-date knowledge of industry-specific estimating processes and methodologies. Prepare formal estimating reports, including quantity, cost, escalation, and other assumptions and clarifications. Assist in the development of estimating standards and best practices. SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Bachelor’s degree in electrical engineering, construction management, cost management, quantity surveying, engineering or field related to construction. Minimum 3-5 years of relevant experience

Vericast is seeking a motivated Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow and collection into our Data Lake environment. The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available throughout ongoing projects. The ideal candidate is self-directed and comfortable supporting the data needs of multiple teams, systems, and products. This role is a great fit for someone who enjoys working in an agile team environment and contributing to high-quality, data-driven marketing products in close collaboration with developers and business partners. Key Duties & Responsibilities Develop scalable data pipelines and build new integrations to support continued growth in data volume and complexity. Build a robust Data Lakehouse that supports Vericast 's marketing solutions business and financial institution clients, including pre-sales, campaign execution, and campaign performance analysis and benchmarking. Collaborate with AI, Analytics, and business teams to improve data models that feed AI and analytics tools, increasing data accessibility and fostering data-driven decision-making across the organization. Implement processes and systems to

The Lead Data Scientist will play a key role in advancing the analytics and data science capacity of the organization. She/he will hire and manage a team of data scientists who deliver scalable machine learning and advanced analytics solutions across the organization. The new hire will need to work closely with IT, executive, and product teams to integrate these into enterprise-scale solutions. The Lead will work with business stakeholders to ideate and prioritize team initiatives while communicating the methods and impact of the methods. Originally posted on Himalayas

We're looking for a detail-oriented and efficient Data Entry Clerk to join our team. In this role, you'll play a vital part in maintaining the accuracy and integrity of our organizational data. As a Data Entry Clerk, you'll work collaboratively with various departments to support our data management needs while ensuring all information is processed with precision and care. This position offers an excellent opportunity to develop your technical skills in a supportive and inclusive environment where your contributions directly impact our operational success. Accurately input data into internal databases and systems with meticulous attention to detail Verify the accuracy of data before entering it into our systems to maintain data integrity Maintain and update records, ensuring all information is correct, current, and organized Generate reports and compile data as requested by the management team in a timely manner Conduct regular audits to identify and resolve data discrepancies, demonstrating analytical skills Collaborate with other departments to understand and support their data-related needs and projects Follow confidentiality policies and safeguard sensitive information with transparency and responsibility Manage multiple data entry tasks simultaneously while maintaining high accuracy standards Identify and communicate potential data quality issues to appropriate team members Assist with the onboarding and training of new data entry team members when needed Proficiency in

Leega is a company focused on efficient and innovative service for its clients. This is no different with our main fuel: people! Our culture is inspiring, and our values are present in our daily lives: ethics and transparency, quality excellence, teamwork, economic, social, and environmental responsibility, human relations, and credibility. We look for innovative professionals who are driven by challenges and focused on results. If you are looking for a dynamic, partnership-oriented company that invests in its employees through continuous training, Leega is the place for you! >> LEEGA IS FOR EVERYONE; we will be very happy to have you on our team. Come be a part of our history and the construction of our future. Apply for our openings right now! About the opportunity We are looking for a Senior Data Engineer with expertise in GCP to work cross-functionally, handling data demands from different areas of the company. The professional will operate in a Build & Run model, dividing their time between building new solutions and maintaining what is already in production — which requires transitioning naturally between these two roles without losing momentum in either. We are looking for someone who works in a team, not in technical isolation: someone who knows how to communicate well, coordinate stakeholders, and bring the right people to the table when a critical problem arises under pressure, rather than trying to solve everything alone. It is an environment

Systems & Software, a division of Harris; is seeking a Senior Data and Business Intelligence Engineer who will join the S&S Data Platform & Analytics team. We are a data-driven organization committed to leveraging information as a strategic asset to improve decision-making, operational efficiency, and business performance of our utility customers. Our Analytics team partners with stakeholders across the organization to develop scalable data solutions that deliver trusted insights and drive measurable customer value. As we continue to invest in our modern data platform, we are seeking a Senior Data and Business Intelligence Engineer to play a key role in building and evolving our enterprise analytics ecosystem. The successful candidate will report to the DBA and Analytics Manager. This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 1-2 times per year to Vermont/Customer Site/Some other destinations. Candidates must hold a current, valid passport and be legally eligible to travel internationally. This includes either passport based visa exemption or possession of any required travel visas for entry into Canada, the United States, and the Caribbean. Preference will be given to candidates who can work in EST timezone. Salary: 80K - 110K AI & Innovation Mindset We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candi