Top Data Engineer Jobs in Dallas, TX
The Data Engineer II role involves gathering and analyzing data management requirements, developing systems for data reporting, and implementing technical solutions. Responsibilities include data pipeline engineering, testing, deployment, and participating in Agile ceremonies. The position requires collaboration with senior team members and a growing familiarity with best practices in data management.
The DB2 DBA will design and implement database solutions, administer DB2 and Cloudant, create and schedule DataStage jobs, perform SQL creation, and ensure compliance with database architecture standards. They will also analyze customer needs and develop creative solutions to enhance performance.
The Oracle Database Administrator will manage various database management systems, ensuring their functionality and performance. The role requires familiarity with multiple platforms such as Oracle, DB2, MYSQL, SQL Server, and Sybase.
As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.
The Graduate Leadership Program in Data Analytics at PMG offers a full-time role for new graduates, focusing on data analytics in digital marketing. Participants will undergo an intensive training program, gain hands-on experience using PMG's technology to derive business insights and build a network in the marketing industry.
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In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
Lead transformational change for clients by designing and executing data and analytics strategies. Collaborate with client leaders to address business challenges using data insights, contribute to practice direction, and work alongside teams to implement analytics initiatives. Provide mentorship and support to grow within a dynamic consulting environment.
As a Data Architect at Acqueon, you will develop technical strategies to build scalable applications and systems, collaborating with product teams to define the roadmap for product feature development, and managing the delivery of complex features in a fast-paced environment while ensuring quality and timely delivery.
Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.
The Data Engineer role at Dynatron Software involves creating and managing data pipelines and ensuring data quality within the company's SaaS and DaaS products. Responsibilities include leading data architecture initiatives using Snowflake, developing ETL processes, collaborating with cross-functional teams, and addressing data quality issues.
The Senior Data Engineer will lead the design and optimization of data infrastructure and pipelines, provide mentorship to junior engineers, and collaborate with teams to enhance data models for BI and analytics. Responsibilities include translating business needs into scalable solutions, optimizing performance, and enforcing data quality standards.
The EDI Transaction Support Analyst supports the Transaction Management Team by confirming electronically transmitted purchase orders and resolving issues related to them. This role involves monitoring queues for customer satisfaction, collaborating with suppliers, ensuring accuracy of orders, and using SQL and Excel to collect and present data.
As a Cloud Data Engineer, you will build distributed data pipelines and workflows, manage large data sets, and improve data processing and usability, along with providing technical guidance and support to clients.
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