Remote Data Engineering & Analytics Jobs

Kroll Cyber and Data Resilience is seeking a Sales Director responsible for leading end-to-end sales of new business opportunities globally. The role will have a particular alignment to Enterprise accounts, helping enable and accelerate that channel to market, while maintaining a broader remit across Private Equity clients and other priority routes to market. The Kroll Cyber and Data Resilience sales team is responsible for selling the suite of expert services including: React: Incident Response & Recovery, Data Discovery & Management, Expert Witness Advise: Cyber Due Diligence, Penetration Testing & Red Teaming, AI Governance, Security Assessments & Advisory Transformation: Technology Implementation, Identity & Access Management, Cloud & Application Security Operate: Managed Detection & Response, Threat Intelligence, vCISO This role involves new business acquisition and the management and growth of existing accounts. A key area of focus will be Enterprise accounts, including partnering with Enterprise account leaders to develop account strategies, identify opportunities, coordinate market engagement, and bring the full Cyber and Data Resilience portfolio to clients. The role is not limited to the Enterprise channel and will also pursue Private Equity clients and opportunities across other priority channels. The successful candidate will sell the Cyber and Data Resilience portfolio, including but not limited to incident response, advisory, transfor

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Business Analyst – MDM & Data Governance to join our innovative and dynamic team. Business Analyst – MDM & Data Governance | About You As a Business Analyst – MDM & Data Governance, you will serve as the bridge between business stakeholders and technical teams, helping define and deliver enterprise master data management and governance solutions. You will be responsible for gathering requirements, documenting business processes, defining data standards, and supporting the implementation of MDM platforms and governance frameworks. The ideal candidate combines strong business analysis expertise with experience in data governance, data quality, and master data initiatives, with exposure to Profisee or similar MDM platforms highly preferred. Business Analyst – MDM & Data Governance | Day-to-Day Partner with business stakeholders, data owners, and technical teams to gather, analyze, and document business, functional, and data requirements for MDM and data governance initiatives. Facilitate workshops, discovery sessions, and stakeholder interviews to define master data standards, busines

Become a part of our caring community The Senior Data & Reporting Professional supports the Michigan Integrated Long-Term Services and Supports (MI LTSS) program through advanced analytics, operational reporting, performance monitoring, regulatory compliance reporting, and strategic data management. You will transform complex clinical, operational, quality, and financial data into actionable insights that support program oversight, state contract compliance, quality improvement initiatives, and executive decision-making. Your work assignments involve moderately complex to complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You will work independently, exercises considerable latitude in determining objectives and approaches to assignments, and begin to influence departmental strategy. The Senior Data & Reporting Professional partners closely with LTSS Care Management, Utilization Management, Quality, Finance, Compliance, Provider Operations, and Market Leadership to monitor program performance, identify operational opportunities, and support achievement of LTSS program requirements. Develop and maintain operational, clinical, quality, compliance, and executive dashboards supporting the MI LTSS program. Integrate and validate data from multiple systems, including care management platforms, quality monitoring tools, provider networks, claims data, assessment systems, and regulatory reporting sources. Create recurring a

At Stefanini, we believe in the power of collaboration. We co-create innovative solutions in partnership with our clients, combining cutting-edge technology, artificial intelligence, and human creativity. We are at the forefront of solving business problems, delivering real impact on a global scale. By joining Stefanini, you become part of a global transformation journey. We are committed to creating a positive impact not only on business, but also on the lives of our employees. If you are looking for an opportunity for professional growth in a company that values innovation, respect, autonomy, and partnership, you will find it here! Join us and be part of the change! What we expect you to accomplish: Design, implement, and maintain scalable and efficient data pipelines. Ensure data quality, integrity, and security. Work closely with data science, engineering, and business teams to understand needs and deliver solutions. Optimize ETL processes and data integration. Monitor and resolve data and infrastructure-related issues. What we require you to know: Python, AWS Glue with Spark, Athena, Step Functions, Lambda, and API knowledge. Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related areas. Minimum of 5 years of experience in data engineering. Proficiency in tools and technologies such as Hadoop, Spark, Kafka, Airflow, SQL, and NoSQL databases. Experience...

The Work Our Digital Modernization Division is an information technology and management consulting department that offers integrated, strategic solutions to public- and private-sector clients. ICF brings the expertise, agility, and commitment to design, build, and operate high-performance IT solutions that support clients' missions. The Data Integration Engineer will design and implement secure, traceable data pipelines and integrations for the migration and modernization of government data. The role focuses on mapping, transformation, validation, monitoring, and reliable movement of structured and unstructured data. Job Location: Remote work is authorized. Must support US Eastern time zone working hours . *If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and prohibits personal VPN connections. What You Will Do Design, build, and optimize ETL and data-integration pipelines. Map and transform legacy data into approved target schemas and models. Create integrations using APIs, database tools, and data-platform services. Implement data-quality checks, validation, monitoring, security, and traceability. Tune data movement and storage for reliability and performance. Collaborate with data governance personnel, subject-matter experts, developers, and testers. What You Will Bring With You Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be perfor

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role We’re looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You’ll create test cases that simulate human-performed tasks and define gold-standard behavior to compare agent actions against. You’ll work to ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. You’ll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions. Although every project is unique, you might typically: Designing structured test scenarios based on real-world tasks Defining the golden path and acceptable agent behavior Annotating task steps, expected outputs, and edge cases Working with devs to test your scenarios and improve clarity Reviewing agent outputs and adapting tests accordingly How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses,

Your responsibilities: You design and further develop the data architecture within the Data & Intelligence Cluster and build the pipelines that ingest, enrich, and process charging, POI, traffic, and market data in batch and streaming operations (Spark, Kafka, Debezium). You conduct complex data analyses and translate the results into clear recommendations for internal stakeholders and customers. You research, develop, and evaluate forecasting models for the utilization of charging points and locations using backtesting, error metrics, and drift monitoring. You develop intelligent pricing approaches based on market data, forecasts, and events, and simulate them prior to the live rollout. You make and document architectural and modeling decisions and clearly communicate trade-offs to engineers and non-technical stakeholders. You mentor and train engineers and analysts in data engineering, data analysis, and forecasting methods, e.g., through workshops, pair programming, design reviews, and code quality feedback. You drive AWS and Databricks infrastructure decisions relevant to data provisioning, including pipelines and cloud cost awareness. You identify and introduce AI tools that improve analysis, development productivity, and data quality. This is you: You are already working at the staff engineer level (or equivalent) and have technical leadership over multiple teams.

Overview The Data Engineer/Analyst collaborates with clients, data scientists, and software engineers to develop and optimize data pipelines, ETL processes, and database structures that support IRS compliance activities. The role involves identifying and integrating data sources, enhancing data quality and accessibility, and creating scalable solutions to extract insights on payment collections and taxpayer behaviors. This position ensures that analytical models and data solutions are validated and prepared for deployment within agency functions. This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables. Responsibilities Meets with Government clients to understand business needs, define data engineering and analysis objectives, identify data sources, and develop robust data integration and processing workflows. Design and implement data pipelines, ETL processes, and database structures to automate and scale data analysis solutions for client needs. Perform data cleaning, transformation, and exploratory analysis to ensure data integrity and readiness for reporting and machine learning applications. Work with teams of data scientists and software engineers to build scalable, reliable data pipelines to enable machine learning models and business intelligence applications. Develop and maintain models and

Senior Database Administrator PayTrace - Remote PayTrace by North - Payment and ACH processing, virtual terminals, and more. The B2B payments expert transforming financial and accounting processes to future-proof your business. With advanced payment automation solutions and a user-friendly API, we help B2B companies become more efficient, successful, and profitable. The Senior Database Administrator is an essential member of the Technology team, taking ownership of PayTrace’s entire database environment, which includes managing and maintaining production and development databases across multiple platforms. This role requires a highly critical thinker capable of making rapid, well-informed, and independent judgments to support PayTrace’s business-critical systems.Key responsibilities include provisioning, installation, configuration, operation, maintenance, patching, and general support of database systems. This person will also design and architect innovative database solutions, including modernizing the database infrastructure by migrating from MS SQL server to the AWS RDS environment. What you'll do: Database Management & Operations: Create and maintain databases and hosts for Production, Development, and various Test environments. Ensure database availability and recoverability meet established Service Level Agreements (SLAs) and guidelines. Rapidly and accurately resolve database issues utilizing all available tools. Continuously monitor and tune database performance.

Our client in the UK is looking for a resilient, consultative and target-driven Database Reactivation Specialist to join their team, helping reconnect with prospective patients who previously expressed interest in treatment but never booked a consultation. You’ll work through a database of over 100,000 past enquiries, making a high volume of outbound calls to re-engage potential patients, understand their needs and help them take the next step towards treatment. You’ll work across two brands, identifying opportunities to refer patients between the two where appropriate. This role requires someone who can build trust, handle sensitive objections around cost and treatment concerns, and confidently guide prospective patients towards a decision without being pushy. You’ll have the autonomy to manage your own follow-up process while working towards clear sales targets in a high-value, consultative sales environment. Responsibilities Make high-volume outbound calls to past enquiries, re-engaging prospective patients who expressed interest but never booked a consultation. Build rapport with prospective patients, understand their concerns and guide them towards booking a consultation through a consultative, empathetic sales approach. Identify opportunities to cross-refer suitable patients, helping prospective patients explore relevant treatment options. Manage follow-ups across calls, WhatsApp, SMS and email, maintain accurate CRM records and work independently towards sales targets.

At Livefront , we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and g

Job Context: We are seeking a senior Data Engineer to design, build, and operate scalable data pipelines and curated data assets that enable AI-driven workflows and business-critical automation. This role is focused on production-grade delivery, data quality, governance, and integration across enterprise systems, supporting outcomes such as cycle time reduction, productivity gains, cost reduction, and improved operational decisioning. The Data Engineer will work closely with architecture, platform engineering, AI engineers, and business stakeholders to ensure data is accessible, reliable, secure, and fit for operational and AI-enabled use cases. Job Responsibilities: Design and implement scalable data pipelines (batch and near real-time) to support AI and automation use cases. Build and maintain robust ingestion processes across structured, semi-structured, and unstructured sources. Implement data transformation, cleansing, validation, and quality controls aligned with enterprise standards. Provide curated, reusable datasets and interfaces to enable AI use cases, including ingestion and indexing flows used for retrieval-based AI patterns (RAG) where applicable. Define and enforce data contracts, schema management, and versioning to support reliable downstream consumption. Implement data preparation logic for RAG, including semantic chunking strategies, metadata enrichment, and approaches for handling incremental updates and re- indexing. Collaborate with AI Engineers to defin

Big Data Application Developer - 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: Big Data Application Developer 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 an experienced Big Data Application Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more y

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. Data Scientist – Supply Chain Optimisation As a Data Scientist within Ciena ’s Supply Chain Optimisation team, this role applies advanced analytics to complex, global supply chain challenges that directly impact cost, service performance, and sustainability outcomes. The position contributes to data‑driven decision making across procurement, planning, engineering, operations, and logistics functions. This role supports scalable optimization solutions aligned with Ciena ’s operational priorities. How you will make an impact: Design and implement optimization models addressing network design, inventory positioning, demand forecasting, and transportation efficiency. Apply advanced analytics techniques to improve supply chain performance, cost efficiency, service levels, and sustainability outcomes. Analyze, cleanse, and transform large, imperfect datasets to generate actionable insights. Develop algorithms using optimization, machine learning, and statistical modeling techniques to solve complex supply chain problems. Implement production‑ready analytical solutions using Python, R, or comparable program

What you can achieve with us Developing data and AI strategies: You advise our clients at the intersection of tech and business. In doing so, you translate their corporate goals into tangible data & AI strategies. As the primary contact person, you accompany them on equal footing from vision to implementation. Managing stakeholders: Through targeted conception and moderation of workshops, you bring stakeholders together. Together, you refine requirements, develop roadmaps, and validate innovative solutions. Designing architectures: In consulting projects, you design future-proof architectures that precisely map complex business requirements and create sustainable economic value. Managing projects and teams: During implementation, you assume professional and technical project management and ensure the success of cross-functional teams. When it comes to a proof of concept or validating an idea, you do not hesitate to write the first working code yourself. Sharing knowledge and fostering growth: You create an environment where junior colleagues can develop optimally. Through appreciative feedback, you ensure high-quality project work and actively pass on your knowledge. We operate independently and are technology-agnostic. Together with our clients, we choose the tech stack that best fits their situation. In our projects, you will regularly encounter data & AI platforms.

Senior Research Associate, Data Analytics – Part-Time Temporary Opportunity Hanover Research Remote Opportunity The Data Analyst will primarily be responsible for working with client data to create dashboards that help higher education institutions to better understand resource allocation across their academic portfolios, including the costs, revenue, and profitability of their academic programs. We expect all employees to be intellectually curious, ambitious, and interested in assuming increasing levels of responsibility. High-Impact Higher Education Research Projects : Primarily dashboards to help clients better understand the costs, revenues, and margins of their academic programs, departments, and schools; other data analytics projects as needed, such as student success and retention analyses, determinants of progression through the enrollment funnel, financial aid optimization, non-matriculant analyses, donor analyses, and other projects. Clients : Hanover works with a wide range of higher education institutions in the United States and internationally, from small community colleges to large university systems and every institution type in between. Responsibilities Efficiently process and clean datasets for analysis Create dashboards in Power BI Perform statistical modeling and regression analysis on education-related data Form hypotheses and locate compelling support for arguments under tight deadlines Write up findings and key takeaways in a clear and concise manner Pr

The SouthState story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward. Since our beginnings in the 1930s to becoming a trusted financial partner across the South and beyond - we are known for combining personal relationships with forward-thinking solutions. We are committed to helping our team members find their success while maintaining the integrity of our values: building trust, fostering lasting relationships and pursuing excellence. At SouthState, individual contributions are recognized, potential is cultivated and team members are inspired to achieve their greater purpose. Your future begins here! Summary The IT Data Engineer IV serves as a senior technical lead for enterprise data engineering, responsible for designing, building, and improving scalable data platforms, Snowflake data solutions, and dbt-based transformation frameworks that support analytics, reporting, and operational decision-making across South State Bank. This role leads complex data engineering efforts, establishes standards for reliable and well-documented pipelines, and partners closely with business departments, data owners, architects, compliance, and technology teams to translate business needs into durable data solutions. The Data Engineer IV also mentors other engineers, drives continuous improvement in data quality and observability, and ensures data solutions align with enterprise architecture, governance, and regulatory expect

Data Engineer Role Overview The Data Engineer is responsible for designing, building, and maintaining scalable, cloud�native data pipelines and data infrastructure that support analytics, reporting, business intelligence, and real-time data processing. This role ensures that data is accessible, reliable, secure, and optimized for performance across enterprise platforms. The Data Engineer collaborates with business stakeholders, analysts, data scientists, and application teams to deliver high-quality data solutions using modern cloud, big data, and API-driven technologies. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing. • Build and optimize data models, Delta Tables, and Lakehouse architectures to support analytics and reporting. • Develop and integrate RESTful APIs and data services to facilitate seamless data exchange across enterprise systems. • Implement real-time and high-frequency data ingestion frameworks using streaming technologies and event-driven architectures. • Design and manage cloud-native data solutions leveraging Azure services including Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics. • Develop and optimize Databricks Spark applications for large-scale data transformation and processing. • Ensure data quality, governance, security, and compliance across data platforms. • Collaborate with data scientists, analysts, application teams, and business stakeholders

Bixal _Logo_Black_Margin-Tight.png" title="" width="185" height="76"> Important Notice for Applicants: At Bixal , we want to ensure a transparent and secure application process for all candidates. Official communication will come from an email address ending in @bixal.com or from @bixal.na.teamtailor-mail.com. Messages from other sources may be fraudulent, and you should exercise care to avoid any links or attachments included. Bixal will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Need Assistance or a Reasonable Accommodation?If you need assistance or a reasonable accommodation to complete your application, we're here to help. Please reach out to us at and let us know how we can support you. You do not need to share personal details or disclose the nature of your request. You can expect a response from a team member within 24 hours during the regular work week and on the next operating day during the weekend or holidays. Why Bixal ? Bixal is a consulting company headquartered in Fairfax, VA, working alongside governments and organizations to help them deliver better services and experiences to the communities they serve. Using evidence-based knowledge and technology, Bixal empowers clients to deliver on their missions more effectively by fostering a culture of learning and continuous im

AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. We are committed to making pharmacy benefits easy to understand, straightforward to access and always in the best interest of employers and the lives they impact. We accomplish this by bringing total clarity to business practices, leading with clinical approaches, and utilizing state-of-the-art technology. Join us in improving health care outcomes for all! We promise to do what’s right, always. Position Summary: The Business Analyst, Data Operations is the primary liaison between the Data Operations team and AffirmedRx’s business-facing teams, particularly Client Management and Patient Care Advocates. Reporting to the Manager, Data Operations. This individual is the first point of contact when a client manager or patient care advocate identifies a file-related or data issue: gathering the details needed to understand it, conducting impact analysis to determine its scope and severity, and keeping every involved party informed of status from the moment an issue is reported through resolution. This role maintains a dashboard or similar tracking tool as the single source of truth on open issues and is expected to communicate proactively — no one should have to ask for a status update. Excellent written and verbal communication skills are essential, since this individual routinely translates between technical data operations work and the business tea

About WebEngage : WebEngage is an enterprise-grade customer engagement and retention platform that helps global brands across industries such as e-commerce, fintech, travel, edtech, gaming, media, and consumer apps. and turn data into measurable revenue impact. Trusted by 800+ brands globally, we have strong presence in India, UAE, KSA, SEA, Europe and beyond. WebEngage powers intelligent, real-time engagement across the entire customer lifecycle. We are built for scale. We are built for complexity. We are built for outcomes. At our core, WebEngage is a full-stack retention operating system that combines: A powerful Customer Data Platform (CDP) Real-time behavioral segmentation and intelligence Omnichannel journey orchestration AI-driven personalization and recommendations Deep analytics, experimentation, and revenue attribution WebEngage BLACK: our AI-native layer that brings Agentic capabilities to engagement. Learn more about us at www.webengage.com About The Role: WebEngage ’s Data Engineering team is the backbone of our analytics, personalisation, and machine-learning capabilities. As a Data Engineer, you will own the end-to-end lifecycle of data — from ingesting raw event streams and third-party feeds to building well-modelled, highly reliable datasets that power dashboards, predictive models, and customer journey orchestration. This is a high-impact, hands-on role where you will work at the intersection of product, analytics, and backend engineering. You will be expect

Senior Data Analyst Cape Town About Our Client Our client is a fast-growing African technology company solving one of the most consequential problems in the region's digital economy, at scale and in high-stakes environments. Their platform is trusted by some of the continent's most demanding institutions precisely because it works. Their analytics function is small and growing, with strong foundations already in place: an expanding data warehouse, established governance and data quality practices, and reporting the business relies on. The gap now is capacity, not groundwork, and this role exists to close it. The Role As Senior Data Analyst, you will turn the business's data into decisions it can act on with confidence. Business questions rarely arrive fully formed, so your craft is to shape a broadly worded question into something that can genuinely be answered, answer it well, and land that answer with the people who need to act on it. This is a senior, hands-on role that sits close to both the business and the data platform. You will be as comfortable interrogating a messy dataset in the morning as presenting a customer engagement analysis to leadership in the afternoon. You will work the lifecycle end to end: framing the question, modelling and interrogating the data, drawing out the insight, and seeing the recommendation through to a decision and its adoption. Our client cares more about how well you think, how clearly you communicate and how curious you are about how dat

About INNIO Group: INNIO Group is a global distributed energy solutions provider that delivers reliable, flexible, transient, decentralized, modular and efficient power. With a track record of innovation, INNIO designs, manufactures and services high‑performance power systems under its Jenbacher and Waukesha brands. The company delivers power for applications including data centers, microgrids, grid stabilization, industrial energy and gas compression. INNIO employs over 5,000 people worldwide and is committed to moving energy forward. Role Summary: The Jenbacher BU New Units Business Development Manager – Data Centers and Power Generation will be part of the INNIO regional sales organization and will play a key role in identifying, developing, and advancing strategic growth opportunities in the assigned region. This role will work closely with end users, developers, EPCs, and consulting engineers to expand Jenbacher’s market presence in data center and power generation applications. The Business Development Manager will focus on building long-term customer relationships, developing market strategies, identifying new applications and accounts, and positioning Jenbacher solutions early in the project development cycle. The role will collaborate cross-functionally with Sales, Commercial Operations, Marketing, Product Line Management, and regional leadership to align commercial offerings with market needs and drive sustainable business growth. This position will also leverage th

At Stefanini, we believe in the power of collaboration. We co-create innovative solutions in partnership with our clients, combining cutting-edge technology, artificial intelligence, and human creativity. We are at the forefront of business problem solving, delivering real impact on a global scale. By joining Stefanini, you become part of a global journey of transformation. We are committed to creating a positive impact not only on business, but also in the lives of our employees. If you are looking for an opportunity for professional growth in a company that values innovation, respect, autonomy, and partnership, you will find it here! Join us and be part of the change! What we expect you to accomplish: We are looking for a Mid-Level Data Engineer to work on the migration of tables and pipelines from the Cloudera Hadoop environment to AWS, acting end-to-end — from initial assessment to production stabilization. Responsibilities: Map the current environment: assess jobs, pipelines, and HQL queries in Cloudera, as well as Shell Script orchestration routines. Convert HQL queries to Amazon Athena, AWS Glue, or Amazon EMR, choosing the most appropriate service per use case (cost, performance, access pattern). Redesign Shell Script orchestration routines into managed AWS services such as Step Functions, Lambda, EventBridge, and MWAA/Airflow. Model the destination data lake in Amazon S3 (raw/trusted/refined zones) and, where applicable, in Amazon Redshift.