Top Hybrid Data & Analytics Jobs in Dallas-Fort Worth, TX

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

Design, develop, and maintain Python data pipelines and CI/CD deployments to build business data objects. Implement source-to-target mapping as pipeline code, write unit and integration tests, build engineering automations, and resolve complex application issues. Collaborate cross-functionally, apply GenAI tools to improve developer productivity, and work with AWS services and Snowflake to support data-driven applications.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.

Lead Data Engineer designs, develops, tests, implements, and supports cloud-based data solutions. Collaborates with agile teams, mentors engineers, builds streaming and batch pipelines using big-data and cloud technologies, and ensures performant, well-tested code.

Lead Commercial Loan Servicing Specialist leads data analytics and project management for wholesale loan servicing. Collaborates with Business, Risk, Technology, and Operations to design and execute analytics projects, develop dashboards and KPIs, ensure data governance and compliance, resolve escalations, and drive process improvements to support strategic decisions.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.

The Director, Quantitative Risk Management leads model development for financial products, oversees new product analysis, and ensures model compliance and performance monitoring while managing a team of engineers.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The Sr. Data Governance Analyst supports data governance activities, policy execution, quality monitoring, workflow management, and user enablement to ensure quality data management across the organization.