Remote Programming Jobs

Data modeling

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🔥 Capital Markets Specialist

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 110000.0 - 175000.0 USD per year

🔍 Consumer Finance and Payments

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff about 2 years agoLending Financial Services Payments FinTech

🔧 Requirements

1-3 years in structured finance, private credit, debt capital markets, investment banking, fixed income sales & trading, or another credit-oriented role
Financial modelling and transaction management experience, along with an understanding of fixed income principles
Exceptional communication skills and ability to manage relationships with internal and external stakeholders
Experience with SQL or Python

💡 Responsibilities

Manage and execute the Capital Markets team’s operational work streams, which requires frequent collaboration with numerous internal and external counterparts
Actively work on Affirm’s existing and prospective capital transactions including; asset-backed securities (‘ABS’), whole loan sales (‘forward flow’), warehouse / debt financing structures and international funding facilities (Canada, UK and beyond)!
Take charge of communication with Engineering, Product, Commercial, and Credit/Risk teams to drive scale for Affirm’s capital platform and funding strategy
Build and manage relationships with existing and potential investors
Develop a strong understanding of Affirm’s business from a unique perspective and learn how Capital Markets fits into broader corporate initiatives

SQL Communication Skills Accounting Relationship management Financial analysis Data modeling

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🔥 Senior Data Scientist- Brand Experience, remote across ANZ

Posted 1 day ago

📍 Australia, New Zealand

🔍 Software Development

🔧 Requirements

Drive impact with data
Excel in core data science skills
Demonstrate key soft skills
Bring additional technical expertise
Have a strong analytical foundation
Understand the dynamics of tech companies
Have hands-on experience with large-scale data

💡 Responsibilities

Uncovering strategic insights
Designing and analyzing experiments
Defining and influencing with metrics
Providing data for decision-making

Python SQL Data Analysis Data Mining Machine Learning Numpy Tableau Product Analytics Algorithms Data science Data Structures Pandas Communication Skills Analytical Skills Data visualization Data modeling Data analytics A/B testing

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🔥 Program and Implementation Manager (Remote)

Posted 1 day ago

📍 United States

💸 70000.0 - 90000.0 USD per year

🔍 Solar

🏢 Company: PosiGen👥 251-500💰 $150,000,000 Debt Financing 11 months agoSolar GreenTech Renewable Energy Clean Energy Energy

🔧 Requirements

3–5+ years of experience in product management, project management, or operational strategy, preferably in solar, energy, or technology sectors.
Demonstrated success in developing and scaling new products or programs, from concept to execution.
Strong analytical skills with the ability to use data to drive decisions and measure outcomes.
Exceptional communication skills—written, verbal, and visual—with the ability to influence cross-functional stakeholders and leadership.
Proficient in project management tools (e.g., Jira, Asana, Smartsheet, Monday.com) and data platforms (e.g., Excel, Looker, Sigma).
Ability to thrive in a fast-paced, ambiguous environment and drive clarity through collaboration and structure.
Experience working with cross-functional teams including engineering, operations, customer care, and finance.
A bias toward action, with a focus on results, experimentation, and continuous improvement.

💡 Responsibilities

Leads high-impact projects focused on improving operational workflows, tooling, and customer experience across the solar lifecycle.
Facilitates cross-functional collaboration between product, operations, CX, engineering, and executive leadership to drive clarity, prioritization, and execution.
Identifies process inefficiencies, system limitations, and data gaps; develops actionable recommendations based on root cause analysis and business intelligence.
Oversees development and optimization of internal platforms and tools by translating business needs into product requirements.
Creates structured documentation to support implementation plans, SOPs, and strategic decision-making.
Establishes project milestones and tracking systems to monitor performance and ensure timely execution of initiatives.
Communicates status updates and key insights to leadership and stakeholders, enabling informed decisions and business agility.
Supports the rollout of new product features and process improvements, ensuring alignment across impacted teams.

Project Management SQL Data Analysis Product Management Project Coordination Jira Product Operations Cross-functional Team Leadership Operations Management Strategy Communication Skills Analytical Skills Collaboration Agile methodologies RESTful APIs Problem-solving skills Data visualization Stakeholder management Process improvement Financial analysis Data modeling Budget management

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🔥 Senior Data Engineer (Remote from EU)

Posted 2 days ago

📍 Germany, Austria, Italy, Spain, Portugal

🔍 Financial and Real Estate

🏢 Company: PriceHubble👥 101-250💰 Non-equity Assistance over 3 years agoArtificial Intelligence (AI)PropTech Big Data Machine Learning Analytics Real Estate

🔧 Requirements

3+ years of experience building and maintaining production data pipelines.
Excellent English communication skills, both spoken and written, to effectively collaborate with cross-functional teams and mentor other engineers.
Clear writing is key in our remote-first setup.
Proficient in working with geospatial data and leveraging geospatial features.

💡 Responsibilities

Work with backend engineers and data scientists to turn raw data into trusted insights, handling everything from scraping and ingestion to transformation and monitoring.
Navigate cost-value trade-offs to make decisions that deliver value to customers at an appropriate cost.
Develop solutions that work in over 10 countries, considering local specifics.
Lead a project from concept to launch with a temporary team of engineers.
Raise the bar and drive the team to deliver high-quality products, services, and processes.
Improve the performance, data quality, and cost-efficiency of our data pipelines at scale.
Maintain and monitor the data systems your team owns.

AWS Docker Leadership PostgreSQL Python SQL Apache Airflow Cloud Computing Data Analysis ETL Git Kubernetes Apache Kafka Data engineering Data science Spark CI/CD Problem Solving RESTful APIs Mentoring Linux Excellent communication skills Teamwork Cross-functional collaboration Data visualization Data modeling Data management English communication

Posted 2 days ago

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🔥 Senior Analyst, Internal Audit - Data Scientist (L09)

Posted 2 days ago

📍 India

🧭 Full-Time

🔍 Internal Audit

🏢 Company: careers

🔧 Requirements

Minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment or 5+ years of experience in lieu of a degree
Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured data
Experience in building algorithms and coding proficiency in Python is required
Experience with visualization software Tableau or Power BI
Experience managing, moving, and manipulating data from multiple sources
Familiar with segmentation techniques such as decision trees or k-means clustering
Familiar with model development techniques such as logistic regression, random forest, or gradient boosting
Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product team
Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders
Outstanding communications, relationship building, influencing, and collaboration skills
Strong project management, communications, multi-tasking, ability to work independently

💡 Responsibilities

Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities and special projects
Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders.
Document analytic results and findings into audit workpapers.
Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques.
Deploy automation on repetitive audit tasks using data analytics and data engineering techniques.
Collaborate with Internal Audit teams to understand audit test objectives and data requirements.
Collaborate with remediation teams to ensure data insights are effectively integrated into action plans.
Lead projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.

Python SQL Data Analysis Data Mining ETL Excel VBA Machine Learning Numpy SAS EG Tableau Algorithms Data engineering Data science Pandas RESTful APIs MS Office Data visualization Data modeling

Posted 2 days ago

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🔥 Business Intelligence & Controlling Specialist (m/w/d) - Full Remote

Posted 2 days ago

📍 Germany, Bulgaria, Hungary

🏢 Company: Globl.Contact GmbH

🔧 Requirements

Previous experience in Business Intelligence, Controlling or Data Analytics.
Strong analytical skills and a structured way of thinking.
Experience with BI tools such as Power BI, Tableau, Looker or similar solutions.
SQL knowledge or the willingness to familiarize yourself with database queries.
A quick grasp and the ability to prepare complex data in an understandable way.
Fluent German and advanced English skills, both written and spoken.
A stable internet connection and a quiet working environment in the home office are prerequisites.

💡 Responsibilities

Be the central point of contact for Business Intelligence & Controlling within our company.
Develop and maintain BI reports and dashboards for operational and strategic decisions.
Monitor and analyze business KPIs and derive data-driven optimizations.
Optimize and automate reporting processes to provide real-time insights.
Create reliable forecasts and budget plans for sustainable growth.
Work closely with Recruiting, Finance and Operations to develop data-driven strategies

SQL Business Intelligence Tableau Reporting Data visualization Data modeling Data analytics

Posted 2 days ago

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🔥 Staff Data Engineer

Posted 2 days ago

📍 United States

🏢 Company: ge_externalsite

🔧 Requirements

Hands-on experience in programming languages like Java, Python or Scala and experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, etc., )
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.
Developing reusable code pipelines through CI/CD.
Hands-on experience of big data or MPP databases.
Developing and executing integrated test plans.

💡 Responsibilities

Be responsible for identifying solutions for complex data analysis and data structure.
Be responsible for creating digital thread requirements
Be responsible for change management of database artifacts to support next gen QMS applications
Be responsible for monitoring data availability and data health of complex systems
Understand industry trends and stay up to date on associated Quality and tech landscape.
Design & build technical data dictionaries and support business glossaries to analyze the datasets
This role may also work on other Quality team digital and strategic deliveries that support the business.
Perform data profiling and data analysis for source systems, manually maintained data, machine or sensor generated data and target data repositories
Design & build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
Build a variety of data loading & data transformation methods using multiple tools and technologies.
Design & build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.
Derive solutions and make recommendations from deep dive data analysis proactively.
Design and build Data Quality (DQ) rules.
Drives design and implementation of the roadmap.
Design and develop complex code in multiple languages.
This role may also work on other Quality team digital and strategic deliveries that support the business.

PostgreSQL Python SQL Data Analysis ETL Hadoop Java MySQL Oracle Data engineering Nosql Spark CI/CD Agile methodologies JSON Scala Data visualization Data modeling

Posted 2 days ago

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🔥 Senior Data Engineer (R&D team)

Posted 2 days ago

📍 Poland, Ukraine, Cyprus

🧭 Full-Time

🔍 Software Development

🏢 Company: Competera👥 51-100💰 $3,000,000 Seed about 1 year agoArtificial Intelligence (AI)Big Data E-Commerce Retail Machine Learning Analytics Retail Technology Information Technology Enterprise Software Software

🔧 Requirements

5+ years of experience in data engineer role.
Strong knowledge of SQL, Spark, Python, Airflow, binary file formats.

💡 Responsibilities

Contribute to the development of the new data platform.
Collaborate with platform and ML teams to create ETL pipelines that efficiently deliver clean and trustworthy data.
Engage in architectural decisions regarding the current and future state of the data platform.
Design and optimize data models based on business and engineering needs.

Python SQL ETL Kafka Airflow Spark Data modeling

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🔥 Marketing Operations and Analytics Manager

Posted 2 days ago

📍 United States

💸 110000.0 - 140000.0 USD per year

🔍 Healthcare Information Technology

🔧 Requirements

5+ years of experience in an operations role within a marketing department, preferably in a B2B SaaS company
Expert level hands-on experience with Hubspot, Wordpress, and Salesforce
5+ years of experience in marketing analytics, preferably with a focus on digital marketing.
Bachelor’s degree in Business Administration, Marketing, Economics, or Finance
Strong proficiency in Excel, Salesforce (reports, dashboards, campaign tracking), and experience working with other marketing data sources like HubSpot, event attendance tracking.
Proficiency in business intelligence or data visualization tools would be a plus
Strong analytical mindset with the ability to translate complex data into actionable insights.
Excellent communication and storytelling skills, with the ability to present findings to senior leadership.
Experience working in a SaaS B2B marketing environment preferred.

💡 Responsibilities

Developing and managing marketing technology stacks to ensure seamless execution of campaigns and strategies
Overseeing and optimizing marketing automation processes to improve workflow efficiencies
Tracking, analyzing, and reporting on marketing campaign performance to inform strategic decisions
Facilitating continuous improvement by identifying and implementing process enhancements within the marketing department
Establishing and maintaining scalable processes that ensure best practices in campaign and lead management
Delivering campaign reporting and departmental reporting
Analyze marketing and campaign data to identify trends, inefficiencies, and optimization opportunities.
Develop and maintain marketing performance reports and dashboards to track key metrics across all marketing channels, clearly demonstrating KPIs like lead source, volume, and quality; marketing’s influence on the sales pipeline; and ROI.
Ensure data integrity and identify gaps in data collection, implementing best practices for accurate and complete reporting.

Data Analysis Salesforce Reporting Data visualization Marketing Digital Marketing WordPress Data modeling Data analytics SaaS

Posted 2 days ago

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🔥 Digital Solutions Architect (m/f/d)

Posted 2 days ago

📍 Germany, Singapore, Japan, Munich, London, Mexico, Sao Paulo

🔍 Healthcare

🏢 Company: GEHC_ExternalSite

🔧 Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Digital Solutions Architect or similar role.
System Design and Architecture: Ability to design scalable, reliable, and efficient systems.
Cloud Computing: Proficiency with cloud platforms like AWS, Azure, or Google Cloud.
Programming Languages: Knowledge of languages such as Java, Python, C#, or JavaScript.
Networking: Understanding of network architecture, protocols, and security.
Data Management: Skills in database design, data modeling, and data integration.
Security: Knowledge of cybersecurity principles and practices.
Ability to build strong relationships with internal and external stakeholders.
Experience with GE HealthCare digital solutions is a plus.
Fluency in English Language.

💡 Responsibilities

Develop high-level architecture and design for complex systems.
Assess and recommend technologies and tools that best fit the project requirements.
Design and manage the integration of various systems and platforms.
Ensure seamless data flow and interoperability between systems.
Create detailed architectural documentation, including diagrams and specifications.
Maintain up-to-date records of the architecture and design decisions.
Ensure that the solutions meet quality standards and best practices.
Identify potential risks and develop mitigation strategies.
Ensure compliance with security and regulatory requirements.
Collaborate with product owners across the business to build strong internal relationships.
Communicate complex technical concepts to end customers in a clear and understandable manner.
Stay updated with the latest industry trends and technologies to ensure our solutions remain cutting-edge.

AWS Python Cloud Computing GCP Java Javascript Software Architecture C#Azure RESTful APIs Networking Data modeling Data management

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