Remote Data Jobs · Java

• Scale the corporate People Data Warehouse to support analytics across multiple teams.
• Build and maintain ETL pipelines using Hive, Spark, or other MPP database architectures.
• Identify, diagnose, and resolve complex data issues.

Lead technical strategy and enable enterprise clients to become more data-driven through advanced AI and ML solutions. Act as the main technical voice for key accounts, guiding organizations through transformational initiatives. Combine pre-sales expertise, technical leadership, and hands-on problem-solving to influence and deliver measurable business outcomes.

Play a pivotal role in building foundational systems to manage data and AI assets. Design and implement scalable backend services, APIs, and data pipelines. Collaborate with engineers, product managers, and stakeholders to define requirements and deliver solutions.

As a Data Engineer II, you will be working on our data systems and services with other data engineers to deliver projects and systems critical to Fandango's business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for fellow movie fans.

We are looking for a highly skilled Data Engineer to join our team and contribute to the design, development, and optimization of data-driven financial solutions. The ideal candidate will have strong technical expertise and a collaborative mindset. You will develop and maintain robust data pipelines and scalable processing solutions, work with AWS services and collaborate with cross-functional teams.

Seeking a skilled Data Engineer to support a government contract delivering high-quality data solutions. The ideal candidate will have experience designing, building, and maintaining scalable data pipelines, transforming raw data into actionable insights, and ensuring data quality and compliance with government standards.

As Data Engineer, you'll help build the next generation of cloud-based data tools and reporting for Experian's MCE contact center division. Valuable, accurate, information is important to our success, and this impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business.

Architect, build, and optimize high-performance cloud-based data solutions on Google Cloud Platform (GCP). Play a critical role in transforming complex business requirements into scalable and secure architectures that support data-driven decision-making. Working closely with cross-functional teams, design robust ETL/ELT pipelines, optimize BigQuery warehouses, and ensure strong data governance and security standards. This position emphasizes technical leadership, mentorship, and collaboration.

Maintain, troubleshoot, and optimize a data ingestion pipeline built with Java and Python. Implement new features and improvements that keep our systems efficient and scalable. Write clean, testable, and well-documented code. Participate in code reviews and share ideas that raise the bar for our engineering practices. Stay curious and up to date with emerging technologies and best practices in data engineering.

In this role, you will develop and optimise core algorithmic models in marketing scenarios. Responsibilities include user behaviour prediction, profiling, ROI estimation, and traffic allocation strategies. You will design and build precision marketing models such as CTR/CVR prediction, LTV forecasting, and channel attribution analysis.