Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
Data engineer jobs in Daly City, CA
- 8,776 jobsAll
Data Engineer
Data Scientist
Requirements Engineer
Engineer 2
Stanford Court Hotel
Data engineer job in San Francisco, CA
Compensation Type: Hourly Highgate Hotels: Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America. With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value. With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. **************** Location: Located atop San Francisco's famed Nob Hill at the corner of California and Powell streets, Stanford Court hotel is steps from the city's best dining, shopping, entertainment and cultural attractions. The hotel features 393 well-appointed rooms and suites, offering comfortable accommodations for leisure and business travelers in a prime location. With a storied history dating back nearly 140 years, Stanford Court sits on the historic site of renowned “Big 4” railroad mogul, university founder, and U.S. senator Leland Stanford's elaborate private mansion. Leland Stanford was at the forefront of innovation in his era, and today's Stanford Court hotel pays homage to his legacy by representing the new frontier of innovation for the 21st century. Overview: The Engineer, Level 2 is responsible for insuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to guests and employees.The ideal candidate MUST have HVAC, Refrigeration (with universal certification), Electrical, and High Rise Fire Safety knowledge and experience. Responsibilities: Make repairs to hotel air conditioning system: change filters, clean coils, replace motors. Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.). Take required readings on equipment. Test cooling tower and record readings. Replace and program televisions as needed. Replace light switches, receptacles, light bulbs and fixtures. Perform furniture repair. Replace and repair pumps. Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc). Understand and be able to read blueprints and wiring diagrams. Trace and repair all types of water lines. Troubleshoot and repair kitchen equipment. Maintain repair and preventive maintenance records. Perform and maintain work to local, state and Federal codes. Test, clean and repair swimming pools and spas. Paint designated areas. Repair and finish sheet rock. Repair all types of wall coverings. Repair and program hotel electronic lock system. Assist in supervising other engineering staff members. Assist in scheduling preventive maintenance tasks. Qualifications: High School diploma or equivalent and/or one year of experience in a hotel or related field required. At least two years of progressive experience in a hotel or related field preferred. Trade school and/or College course work in related field preferred. Flexible and long hours sometimes required. Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds constantly to lift, carry, push, pull, or otherwise move objects. objects. Maintain a warm and friendly demeanor at all times. Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly, courteous and service oriented manner. Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests. Must be able to multitask and prioritize departmental functions to meet deadlines. Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner. Attend all hotel required meetings and trainings. Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel. Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag. Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations. Maximize efforts towards productivity, identify problem areas and assist in implementing solutions. Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary. Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives. Must be able to cross-train in other hotel related areas. Must be able to maintain confidentiality of information. Must be able to show initiative, including anticipating guest or operational needs. Perform other duties as requested by management.$49k-84k yearly est. 1d agoEngineer 1
Sheraton Four Points Pleasanton
Data engineer job in Pleasanton, CA
Compensation Type: Hourly Highgate Hotels: Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America. With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value. With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. **************** Location: Overview: The Engineer, Level 1, is responsible for ensuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to customers and employees. Responsibilities: Make repairs to hotel air conditioning system: change filters, clean coils, replace motors. Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.). Take required readings on equipment. Test cooling tower and record readings. Replace and program televisions as needed. Replace light switches, receptacles, light bulbs and fixtures. Perform furniture repair. Replace and repair pumps. Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc). Understand and be able to read blueprints and wiring diagrams. Trace and repair all types of water lines. Troubleshoot and repair kitchen equipment. Maintain repair and preventive maintenance records. Perform and maintain work to local, state and Federal codes. Test, clean and repair swimming pools and spas. Paint designated areas. Repair and finish sheet rock. Repair all types of wall coverings. Repair and program hotel electronic lock system. Qualifications: High School diploma or equivalent and/or experience in a hotel or a related field required. At least one year of progressive experience in a hotel or related field preferred. Trade school and/or College course work in related field helpful. Flexible and long hours sometimes required. Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly courteouse and service oriented manner. Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests. Must be able to multitask and prioritize departmental functions to meet deadlines. Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner. Attend all hotel required meetings and trainings. Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel. Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag. Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations. Maximize efforts towards productivity, identify problem areas and assist in implementing solutions. Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary. Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives. Must be able to cross-train in other hotel related areas. Must be able to maintain confidentiality of information. Must be able to show initiative, including anticipating guest or operational needs. Perform other duties as requested by management.$95k-137k yearly est. 1d agoEngineer
The Timbri
Data engineer job in San Francisco, CA
Compensation Type: Hourly Highgate Hotels: Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway markets including New York, Boston, Miami, San Francisco and Honolulu, with a rapidly expanding presence in Europe, Latin America, and the Caribbean. Highgate's portfolio of global properties represents an aggregate asset value exceeding $20B and generates over $5B in cumulative revenues. The company provides expert guidance through all stages of the hospitality property cycle, from planning and development through recapitalization or disposition. Highgate also has the creativity and bandwidth to develop bespoke hotel brands and utilizes industry-leading proprietary revenue management tools that identify and predict evolving market dynamics to drive out performance and maximize asset value. With an executive team consisting of some of the industry's most experienced hotel management leaders, the company is a trusted partner for top ownership groups and major hotel brands. Highgate maintains corporate offices in London, New York, Dallas, and Seattle. Location: Overview: Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Responsibilities: Assist with the operation maintenance and repair of equipment. Change out light bulbs; perform preventative maintenance for guest rooms to include: vinyl repair touch up paint minor furniture repair tub caulking tile repairs etc. Perform preventative maintenance for ice machines refrigerators kitchen equipment laundry equipment HVAC guestrooms meeting rooms the swimming pool and hot tub. Perform plumbing repair laundry equipment repair preventative maintenance on all exhaust fans and supply; monitor energy conservation; repair vacuum cleaners and any other small equipment upon request. Immediately follow up on any alarms to determine the exact location and cause - determine emergency status and report to the Front Desk with findings. Perform other tasks/jobs as assigned by the supervisor or manager. Qualifications: Experience in a hotel or a related field preferred. High School diploma or equivalent required. Licensed in a trade preferred (plumbing electrical HVAC carpentry etc.). Must have a valid driver's license for the applicable state. Must have an acceptable MVR (Motor Vehicle Driving Record) property specific.$95k-138k yearly est. 1d agoStaff Data Scientist
Quantix Search
Data engineer job in San Francisco, CA
Staff Data Scientist | San Francisco | $250K-$300K + Equity We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you'll do: Drive deep-dive analyses on user behavior, product performance, and growth drivers Design and interpret A/B tests to measure product impact at scale Build scalable data models, pipelines, and dashboards for company-wide use Partner with Product and Engineering to embed experimentation best practices Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we're looking for: 5+ years in data science or product analytics at scale (consumer or marketplace preferred) Advanced SQL and Python skills, with strong foundations in statistics and experimental design Proven record of designing, running, and analyzing large-scale experiments Ability to analyze and reason about ML models (classification, recommendation, LLMs) Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.$250k-300k yearly 18h agoStaff Data Scientist - Post Sales
Harnham
Data engineer job in San Francisco, CA
Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.$200k-250k yearly 4d agoData Scientist
Skale
Data engineer job in San Francisco, CA
We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies$123k-171k yearly est. 3d agoFounding Data Scientist
Intelletec
Data engineer job in San Francisco, CA
Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools$108k-155k yearly est. 2d agoData Scientist
Hanalytica GmbH
Data engineer job in San Francisco, CA
Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA - Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities Design, build, and maintain complex AI-driven software systems. Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness. Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions. Implement best practices including version control, unit testing, code reviews, and agile development cycles. Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications Strong Python skills, particularly for machine learning and NLP projects Good SQL skills for querying and analyzing data Basic C# skills - ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot) Understanding of API and Microservices concepts Ability to work independently and thrive in a small, agile team Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, AI development, or ML engineering Cloud experience (Azure or AWS) is a plus Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with ETL processes and end-to-end ML pipeline development Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes Flexible hybrid or onsite role, depending on candidate preference. Contract-to-hire with simple agreement amendment upon conversion. If you're passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.$108k-155k yearly est. 2d agoAI Data Engineer
Hartleyco
Data engineer job in San Francisco, CA
Member of Technical Staff - AI Data Engineer San Francisco (In-Office) $150K to $225K + Equity A high-growth, AI-native startup coming out of stealth is hiring AI Data Engineers to build the systems that power production-grade AI. The company has recently signed a Series A term sheet and is scaling rapidly. This role is central to unblocking current bottlenecks across data engineering, context modeling, and agent performance. Responsibilities: • Build distributed, reliable data pipelines using Airflow, Temporal, and n8n • Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.) • Build API and function-based services in Python • Develop custom automations (Playwright, Stagehand, Zapier) • Work with AI researchers to define and expose context as services • Identify gaps in data quality and drive changes to upstream processes • Ship fast, iterate, and own outcomes end-to-end Required Experience: • Strong background in data engineering • Hands-on experience working with LLMs or LLM-powered applications • Data modeling skills across SQL and vector databases • Experience building distributed systems • Experience with Airflow, Temporal, n8n, or similar workflow engines • Python experience (API/services) • Startup mindset and bias toward rapid execution Nice To Have: • Experience with stream processing (Flink) • dbt or Clickhouse experience • CDC pipelines • Experience with context construction, RAG, or agent workflows • Analytical tooling (Posthog) What You Can Expect: • High-intensity, in-office environment • Fast decision-making and rapid shipping cycles • Real ownership over architecture and outcomes • Opportunity to work on AI systems operating at meaningful scale • Competitive compensation package • Meals provided plus full medical, dental, and vision benefits If this sounds like you, please apply now.$150k-225k yearly 2d agoLead Data Engineer
Mentor Talent Acquisition
Data engineer job in San Francisco, CA
We're looking for a Lead Data Engineer to spearhead the design, implementation, and iteration of a world-class, modern data infrastructure that powers analytics, data science, and ML/AI systems. You will be in the driver's seat for a new function on the Engineering team and will help chart its future. This role is highly strategic, cross-functional, and hands-on. If you're passionate about building 0→1 data platforms collaboratively and have experience scaling them at a rapidly growing startup, this role is for you. What you will do Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization. Partner closely with Data Science, Operations Analytics, Engineering, and Product on the design and implementation of scalable data pipelines, models, and solutions. Drive the development of foundational data products and tools to power self-service analytics. Actively contribute to and influence engineering processes, culture, practices, and systems. Serve as a technical thought leader on data engineering best practices. About you Strong technical foundation with the modern data engineering stack (dbt, PySpark, Fivetran, Snowflake, Lakehouse, CDPs, ETL tools, etc.). Advanced knowledge of SQL and Python. Deep expertise in data pipelines, distributed systems, and analytics infrastructure. Hands-on experience with data warehousing technologies, data lake architecture, and ETL pipelines/tools. Deep understanding of BI tooling infrastructure and semantic layer design (e.g., Looker, Tableau, Metabase, Mode). Experience and interest in leading major architecture initiatives from the ground up. Believer in applying best-in-class software engineering practices to data systems. Interest in coaching/mentoring junior engineers. Bonus points Experience building data products that meet HIPAA requirements. Built platforms that support real-time and batch ML/AI products and systems. Experience integrating EHR and other complex third-party system data. For more info or to apply please share your resume to *************************.$110k-157k yearly est. 4d agoSenior Data Engineer - Spark, Airflow
Sigmaways Inc.
Data engineer job in San Francisco, CA
We are seeking an experienced Data Engineer to design and optimize scalable data pipelines that drive our global data and analytics initiatives. In this role, you will leverage technologies such as Apache Spark, Airflow, and Python to build high performance data processing systems and ensure data quality, reliability, and lineage across Mastercard's data ecosystem. The ideal candidate combines strong technical expertise with hands-on experience in distributed data systems, workflow automation, and performance tuning to deliver impactful, data-driven solutions at enterprise scale. Responsibilities: Design and optimize Spark-based ETL pipelines for large-scale data processing. Build and manage Airflow DAGs for scheduling, orchestration, and checkpointing. Implement partitioning and shuffling strategies to improve Spark performance. Ensure data lineage, quality, and traceability across systems. Develop Python scripts for data transformation, aggregation, and validation. Execute and tune Spark jobs using spark-submit. Perform DataFrame joins and aggregations for analytical insights. Automate multi-step processes through shell scripting and variable management. Collaborate with data, DevOps, and analytics teams to deliver scalable data solutions. Qualifications: Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience). At least 7 years of experience in data engineering or big data development. Strong expertise in Apache Spark architecture, optimization, and job configuration. Proven experience with Airflow DAGs using authoring, scheduling, checkpointing, monitoring. Skilled in data shuffling, partitioning strategies, and performance tuning in distributed systems. Expertise in Python programming including data structures and algorithmic problem-solving. Hands-on with Spark DataFrames and PySpark transformations using joins, aggregations, filters. Proficient in shell scripting, including managing and passing variables between scripts. Experienced with spark submit for deployment and tuning. Solid understanding of ETL design, workflow automation, and distributed data systems. Excellent debugging and problem-solving skills in large-scale environments. Experience with AWS Glue, EMR, Databricks, or similar Spark platforms. Knowledge of data lineage and data quality frameworks like Apache Atlas. Familiarity with CI/CD pipelines, Docker/Kubernetes, and data governance tools.$110k-157k yearly est. 3d agoData Engineer
Odiin
Data engineer job in San Francisco, CA
You'll work closely with engineering, analytics, and product teams to ensure data is accurate, accessible, and efficiently processed across the organization. Key Responsibilities: Design, develop, and maintain scalable data pipelines and architectures. Collect, process, and transform data from multiple sources into structured, usable formats. Ensure data quality, reliability, and security across all systems. Work with data analysts and data scientists to optimize data models for analytics and machine learning. Implement ETL (Extract, Transform, Load) processes and automate workflows. Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance. Collaborate with cross-functional teams to define data requirements and integrate new data sources. Maintain comprehensive documentation for data systems and processes. Requirements: Proven experience as a Data Engineer, ETL Developer, or similar role. Strong programming skills in Python, SQL, or Scala. Experience with data pipeline tools (Airflow, dbt, Luigi, etc.). Familiarity with big data technologies (Spark, Hadoop, Kafka, etc.). Hands-on experience with cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks). Understanding of data modeling, warehousing, and schema design. Solid knowledge of database systems (PostgreSQL, MySQL, NoSQL). Strong analytical and problem-solving skills.$110k-157k yearly est. 18h agoData Engineer / Analytics Specialist
Ittconnect
Data engineer job in San Francisco, CA
Citizenship Requirement: U.S. Citizens Only ITTConnect is seeking a Data Engineer / Analytics to work for one of our clients, a major Technology Consulting firm with headquarters in Europe. They are experts in tailored technology consulting and services to banks, investment firms and other Financial vertical clients. Job location: San Francisco Bay area or NY City. Work Model: Ability to come into the office as requested Seniority: 10+ years of total experience About the role: The Data Engineer / Analytics Specialist will support analytics, product insights, and AI initiatives. You will build robust data pipelines, integrate data sources, and enhance the organization's analytical foundations. Responsibilities: Build and operate Snowflake-based analytics environments. Develop ETL/ELT pipelines (DBT, Airflow, etc.). Integrate APIs, external data sources, and streaming inputs. Perform query optimization, basic data modeling, and analytics support. Enable downstream GenAI and analytics use cases. Requirements: 10+ years of overall technology experience 3+ years hands-on AWS experience required Strong SQL and Snowflake experience. Hands-on pipeline engineering with DBT, Airflow, or similar. Experience with API integrations and modern data architectures.$110k-157k yearly est. 18h agoData Engineer, Knowledge Graphs
Mithrl
Data engineer job in San Francisco, CA
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports. No coding. No waiting. No bioinformatics bottlenecks. We are one of the fastest growing tech bio companies in the Bay Area with 12x year over year revenue growth. Our platform is used across three continents by leading biotechs and big pharmas. We power breakthroughs from early target discovery to mechanism-of-action. And we are just getting started. ABOUT THE ROLE We are hiring a Data Engineer, Knowledge Graphs to build the infrastructure that powers Mithrl's biological knowledge layer. You will partner closely with the Data Scientist, Knowledge Graphs to take curated knowledge sources and transform them into scalable, reliable, production ready systems that serve the entire platform. Your work includes building ETL pipelines for large biological datasets, designing schemas and storage models for graph structured data, and creating the API surfaces that allow ML engineers, application teams, and the AI Co-Scientist to query and use the knowledge graph efficiently. You will also own the reliability, performance, and versioning of knowledge graph infrastructure across releases. This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and scalable infrastructure, this is an opportunity to have deep impact on the intelligence layer of Mithrl. WHAT YOU WILL DO Build and maintain ETL pipelines for large public biological datasets and curated knowledge sources Design, implement, and evolve schemas and storage models for graph structured biological data Create efficient APIs and query surfaces that allow internal teams and AI systems to retrieve nodes, relationships, pathways, annotations, and graph analytics Partner closely with the Data Scientists to operationalize curated relationships, harmonized variable IDs, metadata standards, and ontology mappings Build data models that support multi tenant access, versioning, and reproducibility across releases Implement scalable storage and indexing strategies for high volume graph data Maintain data quality, validate data integrity, and build monitoring around ingestion and usage Work with ML engineers and application teams to ensure the knowledge graph infrastructure supports downstream reasoning, analysis, and discovery applications Support data warehousing, documentation, and API reliability Ensure performance, reliability, and uptime for knowledge graph services WHAT YOU BRING Required Qualifications Strong experience as a data engineer or backend engineer working with data intensive systems Experience building ETL or ELT pipelines for large structured or semi structured datasets Strong understanding of database design, schema modeling, and data architecture Experience with graph data models or willingness to learn graph storage concepts Proficiency in Python or similar languages for data engineering Experience designing and maintaining APIs for data access Understanding of versioning, provenance, validation, and reproducibility in data systems Experience with cloud infrastructure and modern data stack tools Strong communication skills and ability to work closely with scientific and engineering teams Nice to Have Experience with graph databases or graph query languages Experience with biological or chemical data sources Familiarity with ontologies, controlled vocabularies, and metadata standards Experience with data warehousing and analytical storage formats Previous work in a tech bio company or scientific platform environment WHAT YOU WILL LOVE AT MITHRL You will build the core infrastructure that makes the biological knowledge graph fast, reliable, and usable Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans$110k-157k yearly est. 4d agoSenior ML Data Engineer
Midjourney
Data engineer job in San Francisco, CA
We're the data team behind Midjourney's image generation models. We handle the dataset side: processing, filtering, scoring, captioning, and all the distributed compute that makes high-quality training data possible. What you'd be working on: Large-scale dataset processing and filtering pipelines Training classifiers for content moderation and quality assessment Models for data quality and aesthetic evaluation Data visualization tools for experimenting on dataset samples Testing/simulating distributed inference pipelines Monitoring dashboards for data quality and pipeline health Performance optimization and infrastructure scaling Occasionally jumping into inference optimization and other cross-team projects Our current stack: PySpark, Slurm, distributed batch processing across hybrid cloud setup. We're pragmatic about tools - if there's something better, we'll switch. We're looking for someone strong in either: Data engineering/ML pipelines at scale, or Cloud/infrastructure with distributed systems experience Don't need exact tech matches - comfort with adjacent technologies and willingness to learn matters more. We work with our own hardware plus GCP and other providers, so adaptability across different environments is valuable. Location: SF office a few times per week (we may make exceptions on location for truly exceptional candidates) The role offers variety, our team members often get pulled into different projects across the company, from dataset work to inference optimization. If you're interested in the intersection of large-scale data processing and cutting-edge generative AI, we'd love to hear from you.$110k-157k yearly est. 18h agoData Platform Engineer / AI Workloads
The Crypto Recruiters
Data engineer job in San Francisco, CA
We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!$127k-180k yearly est. 4d agoSenior Snowflake Data Engineer
Zensar Technologies
Data engineer job in Santa Clara, CA
About the job Why Zensar? We're a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we're passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other-and happiness is at the core of everything we do. In fact, we're so into happiness that we've created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We've learned that employee happiness requires more than a competitive paycheck, and our employee value proposition-grow, own, achieve, learn (GOAL)-lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar's mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar! Zensar is seeking an Senior Snowflake Data Engineer -Santa Clara, CA-Work from office all 5 days-This is open for Full time with excellent benefits and growth opportunities and contract role as well. Job Description: Key Requirements: Strong hands-on experience in data engineering using Snowflake and Databricks, with proven ability to build and optimize large-scale data pipelines. Deep understanding of data architecture principles, including ingestion, transformation, storage, and access control. Solid experience in system design and solution architecture, focusing on scalability, reliability, and maintainability. Expertise in ETL/ELT pipeline design, including data extraction, transformation, validation, and load processes. In-depth knowledge of data modeling techniques (dimensional modeling, star, and snowflake schemas). Skilled in optimizing compute and storage costs across Snowflake and Databricks environments. Strong proficiency in administration, including database design, schema management, user roles, permissions, and access control policies. Hands-on experience implementing data lineage, quality, and monitoring frameworks. Advanced proficiency in SQL for data processing, transformation, and automation. Experience with reporting and visualization tools such as Power BI and Sigma Computing. Excellent communication and collaboration skills, with the ability to work independently and drive technical initiatives. Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. Zensar does not facilitate/sponsor any work authorization for this position. Candidates who are currently employed by a client or vendor of Zensar may be ineligible for consideration. Zensar values your privacy. We'll use your data in accordance with our privacy statement located at: *********************************$109k-150k yearly est. 2d agoStaff Data Scientist - Sales Analytics
Harnham
Data engineer job in San Francisco, CA
Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.$200k-250k yearly 4d agoData Scientist
Hanalytica GmbH
Data engineer job in San Jose, CA
Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA - Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities Design, build, and maintain complex AI-driven software systems. Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness. Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions. Implement best practices including version control, unit testing, code reviews, and agile development cycles. Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications Strong Python skills, particularly for machine learning and NLP projects Good SQL skills for querying and analyzing data Basic C# skills - ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot) Understanding of API and Microservices concepts Ability to work independently and thrive in a small, agile team Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering, AI development, or ML engineering Cloud experience (Azure or AWS) is a plus Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with ETL processes and end-to-end ML pipeline development Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes Flexible hybrid or onsite role, depending on candidate preference. Contract-to-hire with simple agreement amendment upon conversion. If you're passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.$107k-154k yearly est. 2d agoFounding Data Scientist
Intelletec
Data engineer job in Fremont, CA
Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools$107k-155k yearly est. 2d ago
Learn more about data engineer jobs
How much does a data engineer earn in Daly City, CA?
The average data engineer in Daly City, CA earns between $94,000 and $184,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.
Average data engineer salary in Daly City, CA
$132,000
What are the biggest employers of Data Engineers in Daly City, CA?
The biggest employers of Data Engineers in Daly City, CA are:
Job type you want
Full Time
Part Time
Internship
Temporary