Top Remote Analysis Reporting Jobs in Dallas, TX

As a Data Engineer, you will design and maintain data pipelines, support DoD systems, and ensure data quality and compliance.

The Data Engineer is responsible for designing data workflows and pipelines, implementing systems engineering principles, and deploying data streaming technologies while ensuring compliance with industry regulations and best practices.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

The Senior Data Engineer will design, build, and support data environments, orchestrate pipelines, and implement data solutions for advanced analytics and machine learning, working closely with project teams.

Lead market data collection, validation, analysis, and governance across multiple asset classes. Build QA processes, data models, dashboards, and documentation. Partner with engineering, ops, risk, and business teams to resolve data issues, improve workflows, and prioritize enhancements. Mentor and manage a team to deliver high-quality market data, analytics, and reporting.

The role oversees analytical characterization and comparability studies for biologics, ensuring regulatory compliance and leadership in product development.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

Lead Alpaca's data department, managing 15 team members across Platform Engineering, Analytics Engineering, and Data Science. Oversee data strategy, operational delivery, and architecture decisions, ensuring alignment with business needs and cost management.

As a Data Engineer, you will build and maintain data pipelines, convert data into metrics, and operate the platform on AWS. Responsibilities include writing production code, processing data from APIs, and enhancing the orchestration layer using Dagster, while ensuring compliance in a HIPAA-regulated environment.