Data Engineering Jobs in Los Angeles

41

Senior Machine Learning Engineer

sweetgreen
Greater LA Area
1 hour ago
+14
Master’s or PhD in a quantitative field (Computer Science, Engineering, Math, Physics). 4+ years of hands-on experience in predictive modeling and large data analysis. Experience in Python and a machine learning framework. Experience with various machine learning and modeling techniques and parameters that affect their performance.

Data Engineer

Headspace
Santa Monica
9 hours ago
+21
At Headspace, we believe the power of health and happiness can deeply impact each one of us. We are seeking skilled people to join our team and make significant contributions to our mission of making the world a happier and healthier place. Headspace is seeking an experienced Data Engineer to join its Data Infra Team and be responsible for building out a great Data platform for our growing number of business users. As part of the Data Infra team, you'll be tasked with understanding pipeline architecture and ingestion into the Data platform, and be integral in the platform's continued growth.

DevOps Engineer

Machine Learning Engineer

Laserfiche
Greater LA Area
9 hours ago
+14
Description Laserfiche solutions help organizations transform and modernize. Today’s machine learning algorithms play a pivotal role in improving how we solve complex real-life scenarios. Laserfiche is looking for a passionate and highly experienced machine learning expert to help build a machine learning team. Your extensive experience in machine learning, statistical modeling, and natural language processing knowledge will play a key role in

Senior Data Engineer Analyst

Search Engineer

Honey
Greater LA Area
13 hours ago
+39
Refine and tune Search algorithms. Create Machine Learning models. Define SOPs for model productionalization. Create performance metrics and alerts for Elaticsearch. Provide high level guidance for an ELK stack.

Senior Data Engineer

Honey
Greater LA Area
13 hours ago
+39
We are looking for engineers who love distributed systems and are motivated by the challenge of scale. Data engineering at Honey is a small team, so you’ll have opportunities to work on a variety of product features and technology platforms.

Lead Data Scientist - Gaido Health - MedTech Start…

BCG Digital Ventures
Greater LA Area
14 hours ago
+31
Research, design, implement and evaluate machine learning algorithms and statistical models for bioinformatics applications. Generate internal implementations to achieve results on NewCo applications. Work closely with back/front end and iOS engineering teams to drive scalable, production-ready implementations. Collaborate with teams across the company and serve as an internal expert on technical issues. Document technical work as part of the product development process. Support patent application and scientific paper publishing process. Contribute to our evolving cloud infrastructure, data engineering pipeline, and analysis stack. Contribute to our data strategy design and implementation. Identify technical challenges, define requirements and prioritize efforts. Assist with defining requirements and architectures for next-generation machine learning / statistical analysis products.

Software Engineer - Data Team

NEXT Trucking
Greater LA Area
1 day ago
+10
Build large scale fault tolerant data collection and processing pipelines from the ground up. Develop software services that leverage data and machine learning to drive business; and improve customer satisfaction within our flagship products. Identify and leverage third party data feeds to improve our overall data offerings.

Lead Machine Learning Engineer

sweetgreen
Greater LA Area
1 day ago
+14
You are responsible for working with the business and operational teams in identifying opportunities to apply machine learning techniques to improve our operations and deliver the best experience to our customers. You will also mentor and coach individual contributors on your team. 

Senior Data Engineer

ZestFinance
Greater LA Area
2 days ago
+32
Work with Modeling, Product and Business to define requirements, design and build the next generation of ZestFinance product roadmap features. Identify and evangelize programming best practices with the Data Engineering and Modeling teams. Work closely with Analysis to ensure quality & availability of data in the Data Warehouse along with support of our Business Intelligence platform Lead and participate in design / architecture reviews, as well as code reviews and walkthroughs. Design/Implement robust end-2-end ETL pipelines. Develop solutions with a mind towards quality, scalability and high performance on large data sets.

Data Operations Manager

Factual
Greater LA Area
2 days ago
+14
This role stretches across Factual’s Marketers Organization, servicing the Demand Sales and Partner teams to support the steps of creating and launching all targeting and measurement campaigns. Role is aligned with Factual Adtech partners / platforms (DSP’s, DMP’s, Social Platforms, Networks, TV Platforms, OOH Partners, etc). Data Ops will be the SME / experts of launching and troubleshooting campaigns across their assigned platforms. You will work closely with Partner Teams, as well as Account Managers. Work on launching, optimizing and maintaining the data usage across campaigns for most Major National and Global advertisers. Responsible for the internal action items related to campaign creation and launch. Support existing platform partnerships through building targeting and measurement campaigns, and deploying to our partner platforms. Work with Account Management team to execute the campaign details of our buyer partners. Work with internal stakeholders to streamline processes, improve integrations and maximize revenue opportunities. Manage internal workflow of campaign details and troubleshooting issues at campaign level and partner level. Responsible for building segments for optimization and full budget delivery. Provide Product feedback internally e.g. improvements needed with internal tools to improve productivity + decrease time to launch.

Senior Database Engineer

Hallmark Labs
Santa Monica
2 days ago
+21
• Design, develop and maintain multiple databases. • Database performance tuning. • Establish database development standards. • Collaborate with fellow data engineers, take authoritative design and ownership of data projects. • Document systems, code and processes as necessary. • Perform database load testing and benchmarking.

Senior Data Engineer

SteelHouse
Culver City
2 days ago
+27
Creating and maintaining company’s database infrastructure. Performing monitoring and tuning of databases. Designing, constructing, testing and managing the performance and scalability of database data, schemas and data warehouse. Analyzing and designing systems to ingest 1st and 3rd party data into the company’s proprietary reporting platform. Developing and expanding upon the quantity, quality and performance of data in customized-reporting applications. Integrating new data management technologies and software engineering tools into existing structures. Employing a variety of languages and tools to marry and integrate systems. Collaborating with and explaining complex technical issues to Product and Project Managers. Overseeing and coordinating disaster recovery procedures and recommending ways to improve data reliability, efficiency and quality.

Data Infrastructure Engineer II

sweetgreen
Greater LA Area
2 days ago
+14
The Data Engineer is responsible for the design, development and maintenance of our current data platform. Understanding sweetgreen’s complex data ecosystem and being able to build, deploy and maintain scalable/reusable pipelines that are mission critical to support our strategic decision making and promote data adoption across the company. From our customer-facing digital team to our back of house operations team, you will create language agnostic data solutions that enable actionable business insight and the creation of essential operational tools.

Data Infrastructure Engineer I

sweetgreen
Greater LA Area
2 days ago
+14
The Junior Data Engineer is responsible for monitoring, development and maintenance of our current data platform. Understanding sweetgreen’s complex data ecosystem and being able to build, deploy and maintain scalable/reusable pipelines that are mission critical to support our strategic decision making and promote data adoption across the company. From our customer-facing digital team to our back of house operations team, you will create language agnostic data solutions under the tutelage of other engineers on the team to enable actionable business insight and the creation of essential operational tools.

Senior Machine Learning Engineer

ZestFinance
Greater LA Area
2 days ago
+32
Collaborate with AI applied researchers and leaders to build future-proof frameworks and abstractions. Collaborate with product management and engineering departments to understand company needs and devise AI powered solutions. Build tools that will increase the productivity of teams developing AI-based systems. Develop working prototypes, proof of concepts, algorithms, and predictive models. Build demos and conduct training to help data scientists effectively use the product. Demonstrate and apply theories through research efforts to develop new and improved products, processes, or technologies. Participate in cutting-edge research in artificial intelligence and machine learning applications.

SQL Engineer

ServiceTitan Inc.
Greater LA Area
2 days ago
+21
ServiceTitan is looking for a Business Reporting Analyst to join our Professional Services Team. The successful candidate will be responsible for delivering on all reporting requirements for some of ServiceTitan’s most valuable clients. The role entails working closely with customers to gather reporting business requirements, providing options for accomplishing reporting objectives, building, validating and delivering customer reports. The most critical aspect of the role is interfacing with customer and ensuring clarity on requirements and deliverables as it relates to their reporting needs. Strong candidates will have very solid analytical, critical thinking skills as evidenced by a strong command of SQL and Excel.

Data Architect - BI Platform

Senior Database Administrator

Senior Tableau Developer

Data Engineer

Inspire
Santa Monica
2 days ago
+20
Work with teams of engineers, product managers, and data scientists to understand requirements and formulate solutions. Break big data problems down into cases, patterns, component parts and manageable steps. Design and implement scalable database, service and application frameworks to solve big real-world problems. Build efficient and scalable data processing routines, working with files, APIs, and databases. Optimize storage and querying patterns to make the best use of space and time. Analyze large, relational datasets to understand patterns, troubleshoot issues and answer questions. Design, build and deploy new features, functions, structures, processing, analytics or data visualization.

Senior Software Engineer, Machine Learning

Procore Technologies
Greater LA Area
3 days ago
+24
Work with our R&D teams to build customer-facing products and features that are enabled by machine learning technology. Partner with customers, product managers, ux, and marketing to explore future user experience enhancements. Have the freedom to research, share, and recommend new technologies and trends. Exercise code reviews and provide constructive feedback. Mentor junior engineers.

Database Administrator

Hallmark Labs
Santa Monica
3 days ago
+21
We are searching for a seasoned Database Administrator to join our talented Database Team. You will work with developers and business stakeholders to understand the business needs for data and create, maintain, and monitor secure and highly performant databases. You are passionate about data and not only enjoy data schema design, but are comfortable with various DB tools and types of databases. You know that good data and well designed and maintained databases are critical to any business.

Data Software Engineer

The Black Tux
Santa Monica
4 days ago
Develop and own business intelligence dashboards for all business functions. Analyze customer lifetime value, conversion rates, inventory life cycle data, including utilization, customer turn rate, and profitability. Understand data requirements by working cross functionally with engineering and business stakeholders. Help improve transformative in-house data capabilities. Design and implement structured and unstructured datasets. Implement efficient storage and advanced query techniques. Extract, transform, and load data from a wide variety of sources.

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