Job Type Full-time Description The Opportunity Interested in working at a fast-paced growing FinTech company? Have a desire to work with the latest technologies including Python, Amazon Web Services (AWS), and custom-built API's? If so, we are excited to have you join the Green Street technology team. We are a group of innovative technologists working together to fuel the growth of one of the fastest growing technology companies in the Commercial Real Estate (CRE) Space. We are looking to hire a talented, hands-on data engineer, who is interested in working on our cloud-based solutions for pipelining public and private data from multiple sources throughout our systems. You will be working on an Agile team dedicated to parsing and processing, aggregating, and enriching the latest CRE data used by our clients and an internal team of researchers to provide the most comprehensive view of the Commercial Real Estate in the world. What's it like working with our team of dedicated technologists? We are passionate about great Agile teams, engineering excellence through paired programming, automated testing, close collaboration with each other, and a highly transparent tech organization. You'll have multiple opportunities to work on interesting projects, move around teams, and engage with some of the brightest engineering minds anywhere. We love great engineers, and we are excited to get to know you better. Please share your resume today! Responsibilities <ul><li>Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability.</li><li>Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation.</li><li>Provide leadership and mentorship to junior team members through training, pair programming, and code reviews.</li><li>Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals.</li><li>Perform analysis on large aggregated (e.g. demographic, geographic, GIS / spatial) datasets.</li></ul> Requirements <ul><li>A Bachelor's degree in Computer Science / Engineering or comparable experience.</li><li>Excellent programming skills with minimum 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.).</li><li>Extensive database skills with minimum 5 years of experience in either MySQL, SQL, or PostgreSQL.</li><li>Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus.</li><li>Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail.</li><li>Prepared to work independently in a fast-paced, agile environment with the ability to multitask.</li><li>Track record of keeping up with new cloud technologies, languages, standards, and practices.</li><li>Prior knowledge of finance, real estate data, mathematics, or GIS / spatial data is a plus.</li></ul> Knowledge & Skills <ul><li>Excellent Python Programming knowledge.</li><li>Excellent scripting skills and an extensive knowledge of SQL with ability to write advanced queries to manipulate datasets.</li><li>Knowledge of and passion for database design, optimization techniques, and warehousing.</li><li>Strong leadership and interpersonal skills.</li><li>Ability to quickly learn, internalize complex pipelines, and efficiently troubleshoot bugs.</li><li>Experience with AWS infrastructure and CI / CD, and interest in front end technologies is a plus.</li><li>Prior experience developing scalable APIs (REST and GraphQL) is a plus.</li></ul> Benefits <ul><li>Comprehensive benefits package including highly competitive medical and dental insurance</li><li>Company sponsored employee assistance program, life insurance and long term disability coverage</li><li>Health savings accounts and flexible spending accounts</li><li>401(k) matching</li><li>Vacation, sick, and personal time</li><li>Company paid holidays and summer half day Fridays</li><li>Cell phone reimbursements & gym stipends</li><li>16 weeks fully paid maternity leave & 2 weeks fully paid paternity leave</li></ul> Green Street provides preeminent and actionable commercial real estate research, news, data, analytics, and advisory services in the U.S. and Europe. For more than 35 years, Green Street has delivered unparalleled intelligence and trusted data on the public and private real estate markets, helping investors, banks, lenders, and other industry participants optimize investment and strategic decisions. The firm delivers exclusive market information, conclusion-driven insights, and predictive analytics through a SaaS platform. The company is headquartered in Newport Beach with offices in Summit, New York and London. To learn more, please visit www.greenstreet.com. The success of Green Street is directly attributable to the strength of our people. We attract high-quality applicants due to our reputation for excellence and our commitment to train and retain talent. Our collaborative work environment provides team members with opportunities to develop professionally and play a central role from day one. At Green Street, we are all about providing unique insights. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. We're building a company culture where differences in gender, race, age, religion, ethnicity, identity, physical ability and perspectives are celebrated and valued. Green Street is an Equal Opportunity Employer Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Salary Description $140,000 - $150,000 base salary + incentive bonus

Job Description The Senior Data Engineer will oversee the department's data infrastructure, including developing a data model, integrating large amounts of data from different systems, building & enhancing a data lake-house & subsequent analytics environment, and writing scripts to facilitate data analysis. This role will work closely & collaboratively with members of the executive team and various departments across the organization to define requirements, mine & analyze data, and deploy high-quality data pipelines to support analytics needs & data ingestion from recently acquired firms. The Data team is responsible for turning data into information that leads to insights and actions to improve the business. Responsibilities <ul><li>Build & continuously enhance a data lake-house that ingests data from different sources to create a unified system for unstructured, semi-structured, and structured data. </li><li>Combine & analyze data from the lake-house to create analytical reports & insights for executive management. </li><li>Responsible for developing complex queries in SQL, SPL, stored procedures, or PowerBI from a very large data volume and multiple data sources. </li><li>Able to use and apply the right analytical techniques to identify hidden patterns & trends that can be leveraged to improve the business. </li><li>Lead data analysis to solve complex data issues and support data research requests. </li><li>Perform data analytics, visualization, dashboard customization, and alerts in various cloud platforms such as Azure, Redshift, PowerBI, Tableau. </li><li>Partner with strategic vendors to connect external data sources. </li><li>Build logic that will connect & ingest data sources from newly acquired offices. </li><li>Help improve data quality & efficiency for various platforms. </li><li>Build process automation, algorithms, & prototypes. </li><li>Audit & enhance data quality & reliability. </li><li>Work as a team to create data integrations with other systems. </li><li>Monitor and develop data integration tools to provide support for business process across internal platforms (Tamarac Reporting, eMoney, HubSpot, Box) </li></ul><ul> <li>Stay current with trends, techniques, technology, and other factors impacting the job. </li></ul> Qualifications <ul><li>Technical expertise with data models, data mining, and segmentation techniques. </li><li>Extensive experience with processing large sets of unstructured, semi-structured, and structed data. </li><li>Extensive experience building, maintaining, and enhancing data lakes and data warehouses. </li><li>Extensive experience working in AWS (Amazon Web Services), Azure, Tableau, & Snowflake. </li><li>Extensive experience in ETL design, implementation, and maintenance. </li><li>Extensive experience in programing knowledge for Python & C/C++ and strong in wiring complex DB query SQL. </li><li>Experience with data modeling and working with Big Data. </li><li>Experience with data analysis and visualization, particularly PowerBI & Tableau. </li><li>Strong analytical experience & skills that can extract actionable insights from raw data to help improve the business. </li><li>Designing and implementing real time pipelines. </li><li>Ability to effectively manage data, data storage, and data security. </li><li>Great numerical and analytical skills. </li><li>Excellent problem-solving skills and the ability to troubleshoot and resolve platform-related issues. </li><li>Strong communication skills with the ability to collaborate effectively with cross-functional teams and stakeholders. </li><li>Proactive and self-motivated with a passion for continuous learning and staying updated with Salesforce best practices and new features. </li><li>Bachelor's degree or above in computer science, Information Technology, or a related field is preferred. </li></ul> About the Beacon Pointe Family of Companies Beacon Pointe Advisors is a multi-billion-dollar Registered Investment Advisor with headquarters in Southern California and affiliate offices nationwide. Beacon Pointe provides clear and objective investment advice, solely advocating for our diverse group of clients including institutions (i.e., endowments, foundations), high-net-worth individuals and families. Our advisors' extensive expertise and strong commitment to our clients can be seen through numerous awards, including being recognized by Bloomberg, Forbes, Financial Advisor Magazine, CNBC, Barron's and more. For more information, please visit www.beaconpointe.com.

Job Description: Pacific Life is investing in bright, agile, and diverse talent to contribute to our mission of innovating our business and creating superior customer experience. We are actively seeking a talented Lead Data Engineer to join our Enterprise data team in Newport Beach, CA. This role can be on-site, hybrid or 100% remote. As a Lead Data Engineer, you will play a key role in Pacific Life's growth and long-term success. This position will report to the Data & Technology Manager and will be responsible for delivering data engineering solutions within the newly formed 3rd party data team. These solutions augment and enrich internal Pacific Life data with external 3rd party data. This role brings value by delivering technology and processes that optimize the use of 3rd party data throughout Pacific Life. How you will make an impact: <ul><li>Collaborate with architecture, data governance, and business stakeholders to deliver quality data</li><li>Technically lead and develop multiple data projects using agile methodology</li><li>Establish fault tolerant data pipelines to bring external data into internal data management platform</li><li>Enable data literacy and democratization of 3rd party data within Pacific Life</li></ul> The experience you will bring: <ul><li>8+ years of experience in analysis, design, development, and delivery of data</li><li>8+ years of experience and proficiency in SQL, ETL, data transformation, and data management tools (Snowflake, Redshift, Informatica, Matillion, DBT, Control-M)</li><li>Ability to technically lead data engineers and data analysts, review their work, and advise on patterns and best practices</li><li>4+ years of experience with DevOps and CI/CD</li><li>Ability to effectively communicate, facilitate and influence at a technical and functional level with project stakeholders and across the organization</li><li>Solid understanding of data modeling concepts & best practices</li><li>2+ years of experience leveraging 3rd party datasets to enrich internal company data</li></ul> What makes you stand out: <ul><li>2+ years of experience in Snowflake, Data build tool (DBT), and cloud services</li><li>Experience with automation, scripting, and testing in a data delivery environment</li><li>Strong understanding of data catalogs, glossary, data quality, and effective data governance</li><li>Financial services domain knowledge</li><li>Data driven individual with ability to setup effective processes in your sphere of ownership</li><li>Strong communication with the ability to translate business requirements into technical specifications</li><li>Demonstrated experience designing robust, complex, and strategic data solutions</li><li>Deep understanding of database design principles, data modeling, and data warehousing system knowledge</li><li>Ability to set domain data strategies that align with organizational goals</li></ul> You can be who you are. People come first here. We're committed to a diverse, equitable and inclusive workforce. Learn more about how we create a welcoming work environment through Diversity, Equity, and Inclusion at www.pacificlife.com. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. •Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents •Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off •Paid Parental Leave as well as an Adoption Assistance Program •Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $144,630.00 - $176,770.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. <ul><li>Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents</li><li>Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off</li><li>Paid Parental Leave as well as an Adoption Assistance Program</li><li>Competitive 401k savings plan with company match and an additional contribution regardless of participation</li></ul> EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

<h3>Job Description</h3><div>Job Description<div>Data Engineer Location; Remote, US JOB DESCRIPTION<ul><li>Work with technology and business stakeholders to understand data requirements.</li><li>Exposure to data warehousing concepts and must have participated in various implementations building data hubs, and data marts.</li><li>Build scalable and reliable data pipelines to support data ingestions (batch and / or streaming) and transformation from multiple data sources such as Flat Files, SQL, AWS RDS, S3 etc. and help centralize the information on Snowflake.</li><li>Hands on experience in ingestion, transformation, and database technologies.</li><li>Expertise in SQL, complex query writing, query organization, optimization.</li><li>Create unit / integration tests and implement automated build and deployment.</li><li>Participate in code reviews to ensure standards and best practices.</li><li>Deploy, monitor, and maintain production systems.</li><li>Create and update user stories in backlog, participate in agile scrum ceremonies.</li><li>Collaborate with product owner, analysts, architects, QA and other team members.</li></ul> QUALIFICATIONS<ul><li>Minimum 2-year hands on ETL development experience using DBT.</li><li>Minimum 4-year hands on experience working with SQL and Snowflake database.</li><li>Minimum 1-year hands on experience (not just training or POC) in using Git and Python.</li><li>Strong communication skills and work in collaborative environments.</li><li>Preferred:<ul><li>Hands on Experience in ELT development using Matillion (ingestion tool), DBT (transformation tool) and Snowflake (Database technology).</li><li>Experience working with Azure Dev Ops, Build and Release CI / CD pipelines.</li><li>Experience working with AWS and Control M.</li><li>Experience coding complex transformations (not just extract / load mappings) in DBT.</li></ul></li></ul></div>Company Description<div>Platinum Resource Group is a professional level consulting firm, providing resources to Fortune 1000 client companies in the areas of technology, human resources, accounting, finance, business systems and supply chain, on a contract and interim basis. PRG has operations in Orange County, San Diego, Los Angeles and San Francisco. As a W-2 employer we offer our consultants direct deposit bi-weekly payroll, health, dental, vision benefits, paid holidays, and referral bonuses.</div></div><h3>Company Description</h3><div>Platinum Resource Group is a professional level consulting firm, providing resources to Fortune 1000 client companies in the areas of technology, human resources, accounting, finance, business systems and supply chain, on a contract and interim basis. PRG has operations in Orange County, San Diego, Los Angeles and San Francisco. As a W-2 employer we offer our consultants direct deposit bi-weekly payroll, health, dental, vision benefits, paid holidays, and referral bonuses.</div>

Data Engineer Jobs in Newport Beach, CA

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Data Engineer Jobs in Newport Beach, CA

Senior Data EngineerOctober 19, 2024

Senior Data EngineerOctober 15, 2024

Lead Data EngineerOctober 13, 2024

Senior Data Engineer Information Technology Data DevelopmentOctober 10, 2024

Network Data EngineerOctober 6, 2024

Lead Data EngineerSeptember 29, 2024

Data Engineer Remote 2400167September 28, 2024