Data Engineer Salary at Sony Pictures Digital Productions Inc BETA

About Ascent Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies. This is a remote position for candidates in California, Arizona, and other areas adjacent to Los Angeles. Occasional travel to our Encino, CA headquarters is required. The Role The Data Engineer is central to shaping and maintaining the organization's data infrastructure, enabling seamless access to critical data for various teams. This position will focus on building, optimizing, and managing data pipelines to support analytics and data science initiatives, contributing directly to data-driven decision-making processes. By e

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

Since 2010 SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The Tech Job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs. The Job market is Hyper Competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Please see the below links to know more about Synergisticit and some useful tips https://www.synergisticit.com/candidate-outcomes/ https://synergisticit.wistia.com/medias/o5gmv7i9eu https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD https://synergisticit.wistia.com/medias/k6t6a1n4kb Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT We regularly interact with

We have a diverse team of healthcare IT experts devoted to solving real-world healthcare problems. We're looking for a driven, smart, creative, and fun candidate who shares our passion for optimizing the intersection of consumer health, engagement, technology, and innovation. LANES is a community-based Qualified Health Information Organization (QHIO) whose mission is to improve health care delivery by building a platform that enables cost-effective and secure electronic exchange of patient medical records among public and private health care providers and health plans in the larger Los Angeles County region. LANES seeks to make personal health information available when and where it is needed for patient care, safely and securely. LANES uses the Mirth technology, AWS cloud, Google Big Query and FHIR, to link healthcare organizations and to maintain the core technology infrastructure of the Health Information Organization. LANES created a unique new opportunity for a talented and motiva

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

Required Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field; or 8 years of equivalent work experience 3-4 years of additional work experience beyond degree requirementsMachine Learning (ML) and Deep Learning (DL): Proficiency in geospatial and computer vision analysis. Experience with ML/DL models/algorithms (classification, regression, NLP, computer vision). Knowledge of secure AI architectural patterns.Programming Skills: Proficiency in Python (and PySpark preferred). SQL expertise for data querying and manipulation. Familiarity with Docker and MLOps practices.Cloud Platforms (AWS and Azure): Experience with AWS services for data engineering (e.g., S3, Glue, Redshift, Lambda). Familiarity with transitioning platforms from Azure to AWS.Data Engineering: Building and optimizing data pipelines (ETL/ELT processes). Experience with large-scale data ingestion and transformation. Experience with Agile methodologies

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