Data Engineer Salary at Rjt Compuquest Inc BETA

Data Engineer – Hybrid (3 Days Onsite) – $120,000 - $140,000 per year on the base Our client is seeking an experienced Data Engineer to join their team in Irvine, CA on a hybrid basis (3 days onsite per week). Key Responsibilities: Design, develop, and manage AWS-based data solutions. Implement ETL processes and optimize SQL-based data pipelines. Work on Machine Learning and AI initiatives to improve data analytics. Collaborate with stakeholders to define data strategies for logistics, supply chain, and manufacturing operations. Utilize Power BI for data visualization and reporting. Requirements: 5+ years of experience in AWS data engineering. Strong skills in SQL, ETL, and Python. Exposure to Machine Learning and AI is preferred. Experience in logistics, manufacturing, or supply chain industries. Strong communication and stakeholder engagement skills. Hybrid work schedule – must be able to work in the office at least 3 days a week. If you are interest, apply today!

We are seeking a skilled Data Engineer to take ownership of our analytics and performance tracking. In collaboration with our marketing team, this role will lead data initiatives and manage all analytics projects and requests across the organization. Job Duties: Develop and maintain dashboards for main KPI performance analysis across the company Evaluate ROI for advertising and media spends Integrate current data systems to analyze success of campaigns Maintain, update and clean contact lists to always remain current Analyze data from multiple departments to reach conclusions and help discover areas for improvement Create system for tracking metrics/success of digital content across multiple platforms Define and drive all levels of campaign performance management, reporting, and analytics - bring insights to the management team based on research Create recurring and ad-hoc reporting and data analysis to support execution and measurement of marketing activities Design, develop and maint

Description Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills – written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditiona

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Description The Rewarded Ads team is building a new and exciting product offering that enable advertisers to offer rewards to consumers when they shop on Amazon. This is an exciting direction in the Advertising world as it creates a win-win for both the advertiser and consumers. We are seeking a seasoned data engineer to help us complete this vision. It is a great opportunity for someone looking to influence and help shape the technology direction of a young and growing organization. You will help with the delivery of our data solutions that powers the internal dashboard, product insights, external advertiser reports, recommendation engine and more. An ideal candidate should have deep expertise in the creation, management, and business use of large datasets, across a variety of data platforms. They should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to do the data analysis to answer business questions and

CULTIVATE A BETTER WORLD Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone. THE OPPORTUNITY The Manager will oversee Data Engineering teams and will be a thought leader for enterprise data solutions and delivery across the company. This role will lead, manage, and continue to build the enterprise data engineering function and strategy at Chipotle along with mentoring and coaching teams of data engineers. This high impact role will have an opportunity to lead a team to build our enterprise data solutions and work with emerging technologies such as Snowflake, Azure Data Lake/Azure Data Factory, DBT and more. This lea

Job Title: Data Engineer (Vectorization & Azure AI Studio) Location: On-site in Irvine, California Job Type: Contract role (1-year with yearly extensions) We are working with a global investment firm that is known for its expertise in fixed-income strategies and has a long-standing reputation for delivering innovative financial solutions. They have a deep focus on research-driven decision-making in investment products including bonds, equities, real estate, and alternative assets. Job Overview: We are seeking an experienced Data Engineer with expertise in vectorization, vector pipelines, and working within Azure AI Studio to help design, build, and maintain scalable data architectures that power AI models and machine learning applications. You will be responsible for implementing efficient vectorization techniques and managing data pipelines to enable seamless integration with AI-powered solutions. Key Responsibilities: Vectorization & Data Transformation: Design and implement data tra

About the job Data Engineer - Los Angeles Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employers location. Job Summary:Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes. Key Responsibilities: Design, develop, and maintain scalable and efficient data pipelines. Integrate, clean, and organize raw data from various sources into structured formats. Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs. Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency. Optimize database