Remote Data Engineering & Analytics Jobs

This is a remote position. Job Title: Senior DB2 Database Administrator (IRS Project) Location: Remote Position Overview: We are seeking an experienced Senior DB2 Database Administrator (DBA) to support critical IRS systems within a large-scale, high-security federal environment. The ideal candidate will have hands-on experience with mainframe DB2 database administration, performance tuning, and supporting mission-critical batch and online applications in a z/OS environment. This role involves working closely with IRS stakeholders, application developers, and operations teams to ensure high availability, security, and optimal performance of IRS databases. Key Responsibilities: Administer and maintain IBM DB2 databases on z/OS mainframe systems Perform installation, configuration, upgrades, and patching of DB2 subsystems Support database design and logical/physical modeling Optimize SQL performance and implement database tuning strategies Perform backup, recovery, and disaster recovery planning Monitor and troubleshoot DB2 system performance issues Work closely with IRS application teams to support new development, maintenance, and modernization efforts Implement security policies and ensure compliance with IRS and federal guidelines Use tools such as SPUFI, QMF, BMC, CA Database Analyzer, and other mainframe utilities Required Qualifications: 8+ years of DB2 DBA experience on mainframe (z/OS) platforms Strong experience in DB2 utilities, backup/recovery, performance tuning, a

At DIGITALL we don't just deliver technology, we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries. This is your job: Cloud Platform & Architecture : Design, build, and support hybrid cloud and on-premises data solutions with a strong focus on Azure services, including data, identity, network, security, and analytics services. Data Lakehouse Implementation : Practical design, administration, and execution using Databricks and Unity Catalog, managing notebooks, workspace configuration, workload isolation, and cost optimization. Work extensively with open storage formats such as Delta, Iceberg, and UniForm. Data Modeling : Design, review, and maintain data models across Bronze, Silver, and Gold layers, including dimensional models for the serving layer. Guide and advise domain teams on grain, conformance, perfor

This is a remote position. Job Description We are seeking a Technical Architect with 10+ years of overall technology experience, including proven experience architecting and delivering production Generative AI systems. The ideal candidate will combine deep hands-on command of large language models, retrieval-augmented generation, and agentic architectures with the judgement to design AI solutions that hold up under real enterprise constraints of cost, latency, security, and compliance. This role owns the technical architecture of AI engagements end-to-end: shaping the solution during discovery and pre-sales, defining reference architectures and integration patterns, selecting models and platforms, and guiding delivery teams through implementation. You will work directly with client stakeholders, product managers and engineering leads, and will help set the technical standards of our AI practice. This is a senior, hands-on architecture role rather than a purely advisory one. This role owns multiple concurrent AI engagements from discovery through production. Beyond technical architecture, the Technical Architect is expected to act as a trusted advisor to clients, lead engineering teams, mentor future technical leaders, and drive engineering excellence through hands-on involvement Requirements Job Description We are looking for a well-rounded Senior Data Engineer to proactively design, build and maintain modern cloud data platforms end to end. The role spans the full data engin

At DIGITALL we don't just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries. The department delivers innovative products and services to frontline staff working on over 6,000 projects throughout every Region and Global Practice. Our teams support and enable Bank priorities, boost operational efficiency and effectiveness, and facilitate Operational knowledge discovery. Our delivery model leverages global expertise, design and architecture, leading technology, and robust processes to deliver business solutions that ensure value for money. Master's degree in data science, statistics, information systems, or a related field with five (5) or more years of relevant experience; or a bachelor's degree in a related field with seven (7) or more years of relevant experience. Demonstrated expertise in da

Build What Matters at RevStar Position: Databricks Forward Deployed Engineer (FDE) Reports To: Product Manager/Engineering Lead Location : Remote (AZ, FL, TX) Employment Type: Full-Time W2 Job Summary At RevStar, we build cutting-edge cloud, data, and Generative AI solutions that transform how enterprise organizations operate. As a strategic partner in the AWS and Databricks ecosystems, we don’t just deliver code—we solve complex business problems, modernize legacy data estates, and deploy production-grade AI applications that drive real business value. We are seeking a Databricks Forward Deployed Engineer (FDE) to join our growing Data & AI Practice. In this highly visible role, you will work embedded directly at the intersection of technical architecture, hands-on engineering, and executive client engagement. As an FDE, you are both a master builder and a trusted technical advisor. You will own the full delivery lifecycle for high-impact enterprise accounts—designing scalable data foundations, implementing cutting-edge Generative AI solutions, and migrating complex workloads onto the Databricks Lakehouse platform. Simultaneously, you will drive customer adoption and consumption growth by identifying new use cases and building strategic alignment with client technical leadership. Our Core Values: Self-Mastery : We hold a high bar for how we think, communicate, and improve. Ownership : We own outcomes, not just effort. Shared Destiny : We rise or fall together. Key Respon

We are expanding our engineering team! 🚀 Applied Data Scientist / AI Engineer Develop AI models that support strategic decisions. About the challenge We are looking for an Applied Data Scientist / AI Engineer to develop Machine Learning and Artificial Intelligence models focused on classification, scoring, and business simulations. 🎯 Responsibilities Develop predictive models and classification algorithms. Build evaluation metrics and model cards. Create experiments for model validation. Ensure explainability and traceability of decisions. Work closely with LLM-based solutions. ✅ What we are looking for Experience with Machine Learning in production. Python. Model evaluation and performance metrics. Machine Learning pipelines. Knowledge of LLMs and applied AI. 🧠 Behavioral profile We are looking for someone with: Good communication; Systemic vision; Collaborative technical leadership; Mentoring capability; Pragmatic profile; Ability to work with multiple teams and different technological contexts. Additional information ⭐ Considered a differential: Experience with RAG. MLOps. Model Governance. Model evaluation frameworks. 💬 Why this position is different Highly complex technical environment Technical growth opportunity Culture of engineering best practices Collaborative and results-oriented teams 🚀 Why Sciensa? Environment that balances autonomy and governance. Real and relevant technical challenges. Space for growth.

All Gen Tech (AGT) is a global technology delivery firm specializing in building and managing high-performing engineering teams that power some of the most complex projects in financial services, insurance technology, and enterprise software. We partner directly with leading organizations to deliver scalable, reliable, and results-driven technology solutions. About the Role: AGT is looking for a Data & AI Strategy Manager to lead high impact consulting engagements - helping clients define their Data & AI vision, build strategies and roadmaps, and guide execution from idea to delivery. You'll lead teams, work directly with senior stakeholders, and help grow the practice through thought leadership and business development. Location: Hyderabad, India | Remote Experience: 8+ years Schedule: Monday to Friday Key Responsibilities Act as trusted advisor to senior and C-suite stakeholders; own engagement outcomes, risk, and delivery quality; run executive workshops to align on Data & AI vision and investment priorities Define enterprise Data, AI, and GenAI strategies, target operating models, and phased roadmaps; identify and prioritize high-value use cases with clear ROI Own commercial delivery: shape SOWs, manage project financials, timelines, and resourcing; ensure contractual deliverables meet or exceed standard Lead, coach, and develop cross-functional consulting teams; foster a culture of collaboration and continuous improvement; contribute to practice capability bu

About Yaqeen Institute Yaqeen is a nonprofit on a mission to pioneer Islamic research in creative, cutting-edge formats tailored to meet people where they are. We work to dismantle doubts through well-researched truths, nurture conviction by strengthening belief with practical, spiritual guidance, and inspire contribution by reviving our tradition of faithful changemakers, insha’Allah . We’re seeking like-minded professionals who embody Islamic values including sincerity, excellence, and compassion, and want to make a difference in the faith of people worldwide. Role Overview We are seeking a seasoned Data Engineer to join our Engineering team. You will design, build, and operate the data platform that powers analytics, research, and product decisions across the organization. This is a hands-on role for someone who is equally comfortable modeling complex datasets, engineering resilient pipelines, and managing the underlying cloud infrastructure. You will own systems from ingestion and transformation through to the warehouse layer, and you will set the standards that keep our data trustworthy. Beyond building, you will partner closely with analytics, product, and platform teams to define how data moves through the organization and to raise the bar for reliability, quality, and governance. Key Responsibilities Data Modelling & Transformation Model and structure data for analytical and operational use, owning the transformation layer and its tooling, including dbt Design dat

Category: Education Location: Scanning through information to identify pertinent information Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing Entering and updating information into relevant databases Informing relevant parties regarding errors encountered Handling additional duties from time to time Requirements 1+ years experience in a relevant field Good command of English Excellent knowledge of Google Docs and Google Sheets Strong interpersonal and communication skills Ability to concentrate for lengthy periods and perform accurately with adequate speed Proficient typing skills Attention to detail​ Benefits Opportunity to be a part of a dynamic growth focused tech startup Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes Opportunity to work closely with serial tech entrepreneurs from Silicon Valley Fun loving environment and caring team mates and inclusive culture of the company Details Originally posted on Himalayas

ABOUT US ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide. Our global team of over 13,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon. At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed — while embracing every step of the journey. Be part of the future of iGaming with 13,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here. ABOUT THE ROLE You will join our Data Science team as a Data Scientist working at the applied-research end of computer vision. You will frame open-ended problems as testable hypotheses, develop prototypes to validate them, and choose the m

Job Title: Global Data Science Lead Job Location: Boston, MA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website. Consulting is changing, and we’re not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way. We are growing aggressively as we look towards 2030. We are seeking great people to help shape the future of the industry with the world’s leading software, data, AI, and expertise at their back. The Role The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action. We are seeking a Global Data Science Lead that will support execution of the Data Science AI strategy within this team. This role will lead a group of data scientists, AI/ML engineers, and analysts, and partners with Global Analytics leadership to turn strategy into delivery — applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data. What You'll Do Lead the Data Science function within the Global Analytics Team, in line wit

This is a remote position. APEX Capital Group is a privately-held, real estate investment firm headquartered in New Jersey. We focus on the acquisition, rehabilitation, and disposition of distressed real estate, which primarily includes residential and multi-family properties. We are a full-service, real estate investment firm working to provide busy professionals, landlords, flippers, and developers with premium real estate investment opportunities. We are seeking a highly organized and detail-oriented Data Analyst to manage and maintain our property and marketing data. This role is essential in keeping our systems clean, accurate, and optimized for daily operations. If you love structure, spreadsheets, and making data make sense — you’ll thrive here. Key Responsibilities: Download data sets from PropStream, Batch, and other approved data sources. Upload data sets into master lists while maintaining accuracy, cleanliness, and consistency. Cross-check all data against the master list to ensure records are not skip traced more than once. Use pre-built script templates to execute email blasts as needed. Upload accurate, skip-traced data sets into outbound marketing platforms such as ReadyMode and Launch Control. Why Join Us? 100% remote opportunity. Competitive salary and performance-based bonuses. Professional development opportunities. Collaborative and innovative work environment. Be part of a dynamic and growing real estate investment team. Apply Now! Requirements Must-Have

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace. We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results. Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits. What to expect on your journey with us: A solid and innovative company with a strong market presence A dynamic, diverse, and multicultural work environment Leaders with deep market knowledge and strategic vision Continuous learning and development Requirements Summary: We seek a Data Engineer with a strong P&C insurance background to partner with business stakeholders, product owners, and technology teams to translate business needs into clear, actionable requirements for financial loss reporting and analytics solutions. The ideal candidate will analyze business data stories, document functional requirements, support data product certification, validate business rules, and ensure delivered solutions meet reporting, data quality, and downstream consumpt

This is a remote position. Period: August–December 2026, with possible extension Capacity: 0.5 FTE Remote, with laptop collection in Prague EU citizenship required About the role The role is focused on designing and improving AI and data application use cases built mainly on Azure and Databricks. The architect will work with delivery teams, platform teams, security, and business stakeholders to translate use case requirements into practical reusable solution designs. Responsibilities Design solution architecture for AI, data, and API-based applications. Review existing use case architectures and propose more reusable, efficient, and maintainable designs where needed. Support AI modernization by helping teams adopt shared patterns, platform capabilities, and reusable components. Define integration patterns between applications, Databricks, Azure services, internal platforms, and third-party solutions. Prepare architecture documentation, security assessment inputs, and design materials for implementation teams. Coordinate architecture topics across delivery teams, platform teams, security, and other stakeholders. Technology context Databricks platform capabilities including Apps, Lakebase, Genie, and related AI/data services. Azure platform services, including API Management, identity and access control, databases, messaging and Kubernetes-based application hosting. AI/data use cases such as document processing, OCR, classification, information extraction, LLMOps, API integrati

We Are Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise. You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions. You’re comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution. The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members. 1. Hands-On Technical Delivery Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage Assist with data modeling, performance tuning, and query optimization in BigQuery. Implement data ingestion patterns for batch and streaming data so

Harbor is seeking a Legal Technology Consulting Director - Discovery and Data Management to join our Corporate Legal Solutions practice. The Corporate Legal Solutions practice provides services to corporate law departments around the areas of Contract Lifecycle Management, Enterprise Legal Management, and Discovery and Data Management. This role is for our Discovery and Data Management service line, which helps Fortune 500 companies establish, refresh, and effectively manage defensible eDiscovery programs. As a Director, you will help lead and deliver on a strong pipeline of legal hold and broader discovery assessment and implementation projects. This remote role is open to candidates nationwide, with a preference for those based in Chicago, our headquarters, where part of the Discovery team is located. The following is an overview of the services the Discovery team provides to help clients manage their eDiscovery obligations: Assess : Conduct eDiscovery process, structure, technology, and spend assessments and provide recommendations to enact change Implement : Perform the end-to-end selection, implementation, and migration of legal hold, data preservation, data collection, data processing, ECA, and document review systems Enhance : Drive process and program improvement initiatives, including designing operating models and related roles, establishing discovery service preferred provider programs, defining workflows, drafting eDiscovery playbooks, creating discovery dashboard

This is a remote position. We are looking for a Data Scientist to join an enterprise decision intelligence platform within a global banking environment. The role focuses on credit risk and fraud prevention across multiple international markets, supporting real-time and batch decisioning in production banking systems. The platform combines large-scale structured data processing, machine learning models, and GenAI orchestration layers. It operates at significant scale under strict latency, availability, and regulatory requirements and is continuously expanded with new models, data sources, and reasoning components. Responsibilities Design and maintain credit risk and fraud detection models Perform feature engineering on large structured financial datasets Train, validate, and optimise machine learning models for production use Monitor model performance and implement continuous improvements Collaborate with ML engineers on deployment, tracking, and lifecycle management Integrate model outputs into LangChain and LangGraph orchestration pipelines Ensure model explainability, robustness, and regulatory compliance Support documentation and governance requirements in a regulated environment Requirements Strong hands-on experience in Data Science and applied Machine Learning Proficiency in Python and common data science libraries (Pandas, NumPy, scikit-learn) Experience with gradient boosting frameworks such as XGBoost or LightGBM Strong SQL skills and experience working with large da

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on. The Difference You Will Make: The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Re

Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets. We started from scratch by building a completely cloud-native clearing and custody system designed for today's complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We've agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients. By combining highly-skilled product and engineering talent with seasoned finance professionals, we're building the essentials to compete in today's fast-paced markets. The Team:The mission of the Clear Street Active team is to provide best execution for every asset class in every market. Active is currently building a new, state-of-the-art, cloud-based trading platform providing high-performance traders access to liquidity venues across multiple asset classes, cutting-edge charting capabilities, and sophisticated order handling with the flexibility to service both the active trader and institutional workflows. The Role: You will own the reliability and quality bar for an AI copilot embedded in an trading platform used by sophisticated investors You will design and build evaluation systems that measure correctness, safety, latency, and regression risk across market

AGT Software Partners specializes in designing secure, scalable, and AI-powered digital solutions for enterprises worldwide. Our expertise spans Cloud Engineering, Custom Software Development, DevOps and Automation, Data and Analytics, Cybersecurity, and Low Code platforms. We partner with global industries - including Fintech, Healthcare, Insurance, Education, and Retail - to deliver enterprise-grade technology that accelerates digital transformation and drives operational efficiency. Job Overview We are looking for a Data Governance Engineer to implement and manage technical governance controls across the Medallion architecture. This role will focus on data entitlements, classification, and lineage tracking while ensuring governance frameworks are integrated with Snowflake and dbt across all Wave 1 data products. The candidate will also be responsible for capturing and managing structured metadata at the point of data source onboarding. Experience: 3+ Years Schedule: Full-time, Monday to Friday Key Requirements 3+ years of experience in data governance, data engineering, or related roles Strong understanding of data governance frameworks, policies, and best practices Hands-on experience with Snowflake and dbt Experience implementing data classification, access controls, and lineage tracking Familiarity with metadata management and data cataloging tools Understanding of medallion architecture (Bronze, Silver, Gold layers) Ability to integrate governance controls into modern

We are looking for a Risk Data Governance Lead to own and transform our risk data infrastructure into an LLM-agent-ready state. This is a unique role at the intersection of data engineering, data governance, and risk analytics — you will ensure that both humans and AI agents can reliably consume, query, and act on our risk data. You will lead a small team of analytics engineers and serve as an agent of change across departments — pushing for data quality, enforcing standards, and building the foundation that enables the entire risk function to scale. As we expand to new countries, you will design the group-wide data governance framework from the ground up. Challenges that await you : Lead risk data infrastructure to LLM-agent-ready state. Own the full stack of data quality across 40+ analytical tables in Snowflake, spanning 4 product lines and multiple provisioning frameworks (MxGAAP, IFRS, internal). Define and enforce SLAs, build observability for datamarts across all DMBOK quality dimensions (freshness, completeness, accuracy, consistency, timeliness, validity, uniqueness), and drive metadata and lineage completeness. Choose and maintain the right tooling (Git-based, wiki, or hybrid) for documenting schemas, business concepts, query patterns, and pitfalls Design and evolve the LLM context layer. We already maintain a structured knowledge base covering risk data tables, business concept definitions, and query patterns — your job is to scale and formalize this into a product

This is a remote position. Job title: Data Engineer Schedule: Full time; 40 hours per week; Monday to Friday Rate: 60,000 - 100,000 Philippine Pesos per month We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams. Responsibilities: Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory. Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting. Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures. Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects. Monitor and optimize performance of data pipelines and databases. Requirements Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education) Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory. Proven expertise in SQL, Pytho

This is a remote position. Design conceptual, logical, and physical data models (ER diagrams, dimensional/star schemas, Data Vault where applicable) for midstream data domains — pipeline scheduling and nominations, volumetric measurement and allocations, gathering and processing, terminal/storage inventory, tariffs and regulatory reporting, and commercial contracts. Own the Bronze → Silver → Gold layering strategy in partnership with data engineering: define what belongs in raw/staging vs. conformed business entities vs. presentation-layer facts and dimensions. Build and maintain dimensional models (fact/dimension design, SCD Type 1/2 strategy, surrogate vs. natural keys, conformed dimensions across business units) for reporting and analytics consumption. Partner with data engineers to translate models into dbt sources, staging models, and marts, and review PRs for adherence to modeling and naming standards. Define and maintain the enterprise data dictionary, entity relationship documentation, and column-level metadata (business definitions, valid values, data lineage) for midstream subject areas. Evaluate source systems ingested via Informatica IDMC/CDIR and dbt, and model how they reconcile into a single conformed view. Lead data model reviews with business stakeholders (commercial, scheduling, accounting, regulatory) to validate that models correctly represent contracts, allocations, and volumetric relationships. Support master data management for core midstream reference

At myPOS , we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business. As we are expanding our team, we’re looking for a Senior Data Engineer (B2B Contractor) to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen! About the role: As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company. What you’ll do: Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations Develop and evolve scalable data architecture to meet business and performance requirements Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics Implement best practices for data quality, testing, monitoring, lineage, and reliability Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies) Ensure secure data handlin