Remote Data Engineering & Analytics Jobs

Job Description The Opportunity The department of Mathematics, Science and Technology of the Embry-Riddle Worldwide | College of Arts & Sciences seeks an experienced professor or working professional with a passion forresearch and education in addition toprior university experience who has a scholarship record commensurable with a tenured associate professor rank, to support our recently established and growing data science program. The primary initial need will be to develop and then first teach several courses within our growing data science program. Then, as various programs continue to grow, opportunities for additional more advanced courses are to be expected. The department offers a range of higher enrollment courses in domains throughout mathematics, in addition to the sciences, and an ideal candidate would also be able to teach some of these courses, such as mathematics or statistics; this would require a candidate having completed 18 graduate credit hours within one of those domains. In addition, a successful candidate will have an existing research agenda connects to Embry-Riddle's research focus areas and could benefit from collaboration with existing department faculty. This is a fully remote online position within the U.S. with no relocation required; some faculty travel is required to attend mandatory college meetings and events as well as for scholastic activities, such as presenting at conferences . About the College of Arts & Sciences The Embry‑Riddle

Job Summary: Creative Chaos is looking for a detail-oriented and analytical Data Analyst to join our growing team. In this role, you will leverage data to provide actionable insights and drive informed business decisions. You will be responsible for analyzing complex datasets, generating reports, and collaborating closely with cross-functional teams to support strategic initiatives. Key Responsibilities: Extract, clean, and analyze data from multiple sources to identify trends and patterns. Create and maintain dashboards and reports that provide insights into business performance. Work with stakeholders to define their analytical needs and develop data-driven solutions. Perform ad-hoc analysis to support specific projects or business questions. Collaborate with data engineering and IT teams to ensure data integrity and availability. Present findings and recommendations to stakeholders in a clear and actionable manner. Stay up-to-date with industry trends and best practices in data analysis and visualization. Requirements Bachelor's degree in Data Science, Business Analytics, Statistics, or a related field. 3+ years of experience as a Data Analyst or in a similar role. Strong proficiency in SQL for querying databases and conducting data analysis. Experience with data visualization tools (e.g., Tableau, Power BI) to create clear and compelling reports. Familiarity with statistical analysis and data modeling techniques. Excellent problem-solving and critical-thinking skills. Str

Job Overview We are looking for individuals to record natural conversations using provided scripts. You will work with a partner and play a specific role (such as Customer or Support Agent). The goal is to create clear, natural-sounding audio recordings by following simple instructions. Project Description This project involves recording natural conversations with a partner using provided scripts. You will play a role (such as a Customer or Support Agent) and speak in a clear, natural way. The conversations are based on customer support situations, where one person helps solve a problem. These may include: • Verifying account details • Solving basic technical issues • Explaining simple policies Each assignment takes approximately 30 to 90 minutes and must be completed in one continuous session. You must record in a quiet, noise-free environment. Key Responsibilities Record conversations with an assigned partner Follow provided scripts and instructions • Speak naturally and clearly Play your assigned role during recordings Ensure recordings are completed in a quiet environment Upload files correctly following naming and submission guidelines Re-record tasks if quality requirements are not met • Complete tasks within deadlines Payment You will be paid for up to 1.5 hours per assignment, based on approved work. Payment depends on audio quality and following instructions Work that does not meet quality standards may be rejected or require re-recording Payment is processed after s

Job Type: Full-time | Location: Fort Worth | Department: Procurement | Reporting to: VP, Data Center Procurement | Work Location Type: #remote The Senior Analyst, Global Procurement Strategy will work directly with the VP of Data Center Procurement to shape, drive, and scale the global procurement strategy supporting IREN 's expanding data center portfolio. This role blends strategic thinking with strong analytical rigor — translating business priorities, market intelligence, and performance data into the frameworks, plans, and materials that guide procurement decisions across regions. Operating in a fast-paced, high-growth environment, the Senior Analyst will play a central role in building procurement into a scalable, globally consistent function, while acting as a trusted right hand to the VP on strategic priorities, executive communications, and cross-regional coordination. IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN ’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC. With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Supply Chain Manager with strong expertise & hands-on experience in server and GPU infrastructure procurement to support our global data center operations. You will operate at a high execution speed and be expected to quickly integrate into ongoing projects. You are welcome to work at our head office in Amsterdam, the Netherlands , or remotely within the EU. Your responsibilities will include: Managing end-to-end procurement of server and GPU infrastructure for new data center builds Negotiating directly with OEM/ODM vendors Creating dashboards and report on existing tasks to ensure all tasks are done in a timely manner within the deadline. Managing cost optimization, supply constra

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD , we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD . We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD . As a Senior Technical Consultant, AI Services, you are responsible for the hands-on delivery of AI solutions within AHEAD client engagements. You are an engineer and client-advisor - you turn solution designs into working, production-grade GenAI / Agentic AI workflows, and you take them all the way into production - deployed, running, and reliable in live client environments. You will collaborate with clients and interdisciplinary teams, which includes engineers, product owners, domain experts to understand real business needs and solve complex challenges across industries. You will work alongside senior

Reporting to the Senior Vice President of Product Engineering, the Director, Content Engineering is responsible for leading the technology organization for GHX’s Content Engineering portfolio. The role requires leading geo distributed engineering organizations to deliver key solutions in Content space focusing on Content Workbench, Price Workbench and Contract Management services. Role Responsibilities Lead the strategic direction, planning and execution for Content Engineering leaders and teams to deliver business and customer focused roadmaps. Bring deep domain expertise and hands on experience with Software Engineering, Data products, AI in SLDC and System architecture, preferably in Supply Chain Domain. Strong Experience in cloud-based SaaS services, API & UI frameworks, and Microservice architectures. Hands on experience with GenAI and Agentic Frameworks Leading and mentoring geo distributed leaders and building high performance cross geo organizations. Develops relationships at all levels of the organization as a trusted leader and strong communication skills. Excel in all areas of strategy development, including project management, analysis, problem solving, verbal and written communication, consensus building, and people development. Understand the financial impacts and manage budgetary decisions for technology solutions and forecast future technology practices needed within the area of expertise. Skill Requirements Experience in building and leading geo distribut

Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong. We are currently searching for a Bi

Senior Data Engineer – ETL & Python 2976 - Remote (Mexico). We are looking for a Senior Data Engineer with solid experience in data pipeline development and optimization, ETL/ELT processes, and cloud technologies. The selected person will be responsible for designing scalable solutions for data processing and integration, collaborating with Analytics, BI, and Development teams. Responsibilities: Design, develop, and maintain ETL/ELT processes for data integration and transformation. Build pipelines using Data Stream, Dataform, and BigQuery. Develop automations and scripting in Python using Pandas. Integrate internal and external APIs for information processing. Optimize SQL queries and relational database structures. Administer and query PostgreSQL and MySQL databases. Guarantee quality, integrity, and availability of information. Monitor the performance and efficiency of data pipelines. Document technical processes and data architecture. Collaborate with multidisciplinary teams on analytical and operational initiatives. Essential Requirements: More than 5 years of experience as a Data Engineer. Solid experience in ETL/ELT processes. Proficiency in Data Stream, Dataform, and BigQuery. Python programming oriented to data processing. Experience with Pandas. API integration and consumption. Advanced SQL. Experience with PostgreSQL and MySQL. Management of large volumes of information. Knowledge of best practices.

Aireon deployed the world’s first global space-based air traffic surveillance system, providing real-time aircraft monitoring capabilities around the world, including over the poles, over the oceans and in remote areas. Aireon data enables safer, more efficient and more environmentally friendly aviation travel, resulting in significant CO2 emission reductions. More than 20 Air Navigation Service Providers representing more than 40 countries – including NAV CANADA, NATS (UK), Air Traffic and Navigation Services (South Africa), Airports Authority of India (AAI), and ASECNA (Africa) -- rely on Aireon data to navigate aircraft in their airspaces. We are committed to offering an employment experience and benefits package that enables you and your family to grow with us and to share in our success. Position Summary, Job Requirements & Responsibilities As Sales Manager APAC for the Aireon Commercial Data Services team, you will be responsible for identifying and nurturing new leads, driving opportunities through our sales pipeline to successful conversion, and managing relationships with customers and prospects across a diverse and dynamic region. Leveraging your established network and deep understanding of the APAC aviation landscape, you will represent Aireon internationally at relevant industry events and forums, and provide key market insights back into the organization to ensure that Aireon 's products and services remain at the forefront of the global flight tracking indu

Company Description We are Olsson . We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson . It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Company Description We are Olsson . We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson . It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Join Olsson ’s Data Center Design team as a Mechanical Piping Engineer, where you’ll provide support on complex, mission-critical projects, including hyperscale data centers and secure facilities. This role works within a multidisciplinary team known for deliver

Lead Data Engineer Overview We are looking for a Lead Data Engineer who combines hands-on multi-platform expertise with strong leadership in data architecture, pipelines, and CI/CD. This role requires a versatile engineer with deep technical skills across modern data platforms (such as Databricks, Snowflake, AWS, and Azure), an understanding of MLOps/DevOps practices, and the ability to guide a high-performing team in building scalable, production-ready data solutions. You will not be limited to a single platform but will leverage a diverse toolkit to solve complex data challenges. Key Responsibilities · Pipeline & Architecture: Lead hands-on development of scalable ETL/ELT pipelines, data models, and integration frameworks to process high-volume (billions of records) structured and unstructured retail data. · Multi-Platform Engineering: Design, develop, and optimize data processing applications across multiple platforms, including Databricks (Spark/Delta Lake), Snowflake, AWS, or Azure. · Data Integration & Orchestration: Build and manage robust data pipelines using Apache Airflow for orchestration and Airbyte for seamless data integration and movement. · Data Processing: Architect and implement robust solutions for Change Data Capture (CDC), large-scale batch processing, and low-latency real-time/streaming data processing. · API Management: Work extensively with external APIs for data ingestion, as well as design, create, and manage internal REST APIs to serve data

Location: Remote in Canada Reports to: Senior Director, Professional Services About Velixo Velixo is an award-winning vendor of Excel-based reporting solutions for Enterprise Resource Planning (ERP) software, such as Acumatica, MYOB, Cegid and Sage Intacct. We serve customers of every size, in every industry, by enhancing their reporting and planning experience, and introducing a world of innovative features and integrations in the Excel they love. Headquartered in Montreal, Canada, we are a diverse and fast-paced organization that is rapidly growing in revenue and personnel. Our team is spread out across the world to support a growing base strong of 1800+ customers and 200+ value-added resellers worldwide. About the role : We are looking for a passionate ERP Data Analyst to join our team at Velixo . As a ERP Data Analyst, you will be responsible for demonstrating product capabilities, analyzing business requirements and designing reporting solutions using SQL and Excel. Your expertise in Microsoft Excel, strong analytical mindset, and ability to provide valuable insights will play a crucial role in helping our customers leverage our Excel-based reporting solution for their ERP systems. This is an exciting opportunity to work in the ERP software industry and be part of a collaborative and growth-oriented team. We are considering candidates anywhere in Canada. Responsibilities: Attend product demonstrations with prospective customers, answer technical questions and demonstrate

We are seeking a Data Scientist with deep expertise in probabilistic AI and statistical machine learning to support a client's e-commerce platform, built on a distributed microservices architecture. The platform roadmap includes a set of intelligence capabilities that require rigorous statistical modeling rather than standard supervised ML. This role is responsible for designing, validating, and productionizing probabilistic models, and for working closely with backend engineering to translate those models into service-oriented production architecture within the platform's existing microservices ecosystem. What you will do Bayesian modeling and inference: Design and implement Bayesian statistical models — priors, likelihoods, and posterior inference — to support decisioning under uncertainty across pricing, segmentation, and demand-related use cases. Markov chains and Hidden Markov Models: Build Markov chain and Hidden Markov Model formulations for sequential and behavioral patterns (e.g., customer lifecycle stages, state transitions), producing outputs that downstream services can consume. MCMC and Metropolis-Hastings sampling: Apply Markov Chain Monte Carlo methods, including Metropolis-Hastings sampling, to estimate posterior distributions for models without closed-form solutions, and validate convergence and sampling quality. Mixture modeling: Develop mixture models — Gaussian Mixture Models in particular — to support segmentation use cases, identifying latent customer or

True Zero Technologies , a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025 , a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence. True Zero is seeking a Data and Analytics Engineer to lead the data and analytics functions supporting continuous Zero Trust maturity assessment and implementation measurement. The role establishes repeatable data models, quality controls, and analytics methods that turn authoritative enterprise evidence into measurable maturity, risk, gap, and implementation insights. This position supports monthly maturity scorecards, quarterly maturity reporting, capability-we

Help Us Build The Future of Travel At Airalo , we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the rol

About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🌍 More information: We are looking for a Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures , with proven experience working with production-grade systems in fast-paced environments. What You Can Expect (Responsibilities) Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources. Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data. Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions. Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs. Drive the adoption of DataOps practices , including CI/CD, workf

About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🌍 More information: This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands-on technical work to ensure robust data operations. What To Expect In This Role (Responsibilities) Automation & Integration: Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes. API & System Orchestration: Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together. Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure to ensure it runs with

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. We are looking for a Senior / Principal Data Architect to lead the design and evolution of modern, scalable, and AI-ready data architectures for complex enterprise environments. This is a senior technical leadership role requiring strong expertise in Data Architecture, Cloud, modern data platforms, and emerging AI/Agentic approaches for Data . The ideal candidate will be able to translate complex business requirements into robust technical architectures while providing technical direction and guidance to engineering teams. Key Responsibilities Design and define scalable, secure, high-performance data architectures aligned with business and technology strategies. Act as a technical reference and architecture leader for Data Engineering and Analytics teams. Define architecture patterns, standards, best practices, and technology strategies for modern data platforms. Design and evolve Lakehouse / Cloud Data Platform architectures using modern techno

Utility Data Programmer Analyst Position Overview Celerity is seeking a Utility Data Programmer Analyst to support data-intensive electric, gas, and water utility projects. This position will initially support a large-scale electric utility asset-data validation program and may contribute to additional engagements involving asset management, data quality, geographic information systems, regulatory compliance, operational analytics, and process improvement. The ideal candidate combines an understanding of utility assets and operations with strong technical capabilities in relational databases, SQL, data analysis, visualization, and data integration platforms. This individual will work with project managers, utility subject matter experts, GIS professionals, engineers, and data analysts to transform complex utility data into reliable, actionable information. Key Responsibilities Analyze large datasets from utility systems such as GIS, enterprise asset management, work management, inspection, maintenance, and operational databases. Develop SQL queries, scripts, and repeatable workflows to extract, join, transform, validate, and reconcile data from multiple sources. Identify data quality issues, including missing records, duplicate assets, inconsistent attributes, invalid relationships, and discrepancies between systems. Support the validation and reconciliation of utility asset records across platforms such as GIS, SAP, inspection systems, and document repositories. Develop dash

We are looking for a Data Analyst to join our team. Since 2007, MMDSmart has been a leading supplier in cloud-based business communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated. Requirements What will you do at MMDSmart? Developing and supporting analytical systems for operational analysis and decision making; Communication with Business Process Owners, identifying KPIs; Communicate with development teams to identify data sources, data lifecycle analysis; Development of the data storage structure in DWH, setting requirements for the Data Engineer about the ETL process, and checking the results; Developing dashboards in analytical platforms; Presenting analytical results to customers. You are a perfect match if you have: 1+ years of experience as Data/BI analyst; Understanding the principles of business process analysis, KPI identification; Good experience in DataViz platforms: Tableau/Looker/SuperSet; Programming: SQL, Python as +, database principles; Analytical mind, communication and presentation skill, team working skills; Language knowledge: fluency in Russian

We’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high-impact enterprise initiative. This role is ideal for someone with strong hands-on experience in data processing, transformation, and validation, who thrives in building reliable and well-structured datasets for analytics and business workflows. You will work closely with cross-functional teams to ensure data is accurate, standardized, and ready for downstream consumption, contributing to scalable and high-quality data pipelines. What will you be doing? Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources. Lead the design and implementation of data ingestion architectures in Snowflake , ensuring scalability and reliability. Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets. Perform data transformation and normalization to support analytics and reporting use cases. Work with large datasets using SQL and Python to process and analyze data efficiently. Ensure data quality by implementing validation rules, checks, and monitoring processes. Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions. Support ETL processes and file handling workflows for structured and semi-structured data. Contribute to documentation and continuous improvement of data processes and standards. What are w

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: The Senior Data Engineer will design,

This role is part of our talent pipeline for future hiring needs. While there may not be an immediate opening, we regularly expand our team and are interested in connecting with talented professionals. Qualified candidates will be invited to meet the Hiring Team and, if successful, will join our talent pool for future opportunities. This position is open to candidates currently based in Hungary who have the legal right to live and work in the country. Only shortlisted candidates who meet these requirements will be contacted regarding next steps. THE ROLE The Data Platform DevOps Engineer is responsible for building and maintaining the CI/CD pipelines, infrastructure automation, and operational tooling that powers the enterprise data lakehouse. This role ensures the platform is reliable, scalable, cost-optimized, and continuously delivered with high engineering velocity. KEY RESPONSIBILITIES ▸ Design and maintain CI/CD pipelines for data pipeline deployments using GitHub Actions, Jenkins, or GitLab CI ▸ Author and manage Infrastructure-as-Code (IaC) using Terraform and Helm for lakehouse components ▸ Manage Kubernetes clusters for orchestration workloads (Airflow, Spark operators, DataHub) ▸ Implement platform observability: logging, metrics, and alerting using Prometheus, Grafana, and OpenTelemetry ▸ Automate environment provisioning for development, staging, and production data platform environments ▸ Collaborate with data engineering and security teams to enforce policy-as-