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Cybersecurity Engineer III **
Simventions, Inc.-Glassdoor ✪ 4.6
Data engineer job in San Diego, CA
SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced cybersecurity professional to join our team! As a Cybersecurity Engineer III, you will play a key role in advancing cybersecurity operations by performing in-depth system hardening, vulnerability assessment, and security compliance activities in accordance with DoD requirements. The ideal candidate will have a solid foundation in cybersecurity practices and proven experience supporting both Linux and Windows environments across DoD networks. You will work collaboratively with Blue Team, Red Team, and other Cybersecurity professionals on overall cyber readiness defense and system accreditation efforts. ** Position is contingent upon award of contract, anticipated in December of 2025. ** Clearance: An ACTIVE Secret clearance (IT Level II Tier 5 / Special-Sensitive Position) is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: In-depth understanding of computer security, military system specifications, and DoD cybersecurity policies Strong ability to communicate clearly and succinctly in written and oral presentations Must possess one of the following DoD 8570.01-M IAT Level III baseline certifications: CASP+ CE CCNP Security CISA CISSP (Associate) CISSP GCED GCIH CCSP Responsibilities: Develop Assessment and Authorization (A&A) packages for various systems Develop and maintain security documentation such as: Authorization Boundary Diagram System Hardware/Software/Information Flow System Security Plan Privacy Impact Assessment e-Authentication Implementation Plan System Level Continuous Monitoring Plan Ports, Protocols and Services Registration Plan of Action and Milestones (POA&M) Conduct annual FISMA assessments Perform Continuous Monitoring of Authorized Systems Generate and update test plans; conduct testing of the system components using the Assured Compliance Assessment Solution (ACAS) tool, implement Security Technical Implementation Guides (STIG), and conduct Information Assurance Vulnerability Management (IAVM) reviews Perform automated ACAS scanning, STIG, SCAP checks (Evaluate STIG, Tenable Nessus, etc.) on various standalone and networked systems Analyze cybersecurity test scan results and develop/assist with documenting open findings in the Plan of Action and Milestones (POA&M) Analyze DISA Security Technical Implementation Guide test results and develop/assist with documenting open findings in the Plan of Action and Milestones Preferred Skills and Experience: A combined total of ten (10) years of full-time professional experience in all of the following functional areas: Computer security, military system specifications, and DoD cybersecurity policies National Cyber Range Complex (NCRC) Total Ship Computing Environment (TSCE) Program requirements and mission, ship install requirements, and protocols (preferred) Risk Management Framework (RMF), and the implementation of Cybersecurity and IA boundary defense techniques and various IA-enabled appliances. Examples of these appliances and applications are Firewalls, Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Switch/Routers, Cross Domain Solutions (CDS), EMASS and, Endpoint Security Solution (ESS) Performing STIG implementation Performing vulnerability assessments with the ACAS tool Remediating vulnerability findings to include implementing vendor patches on both Linux and Windows Operating systems Education: Bachelor of Science in Information Systems, Bachelor of Science in Information Technology, Bachelor of Science in Computer Science, Bachelor of Science in Computer Engineering Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $90,000 - $160,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
$90k-160k yearly 1d ago
Advisory Azure Data Architect
Edgex
Data engineer job in San Diego, CA
EdgeX builds infrastructure-free IoT systems for real-time asset tracking and environmental monitoring, primarily in healthcare and industrial environments. Our sensors and platform operate entirely independent of facility IT, enabling instant deployment and insights. As part of our platform evolution, we have implemented Microsoft Azure Data Explorer (ADX) to enhance scalability, performance, and long-term maintainability across our data ecosystem. Role We are seeking an Advisory Azure Data Architect with deep expertise in IoT, time-series data, and observability platforms to provide expert oversight and validation as we transition more services and reporting workloads to ADX. This is a part-time, advisory engagement - ideal for a seasoned architect who can dedicate a few hours per week to help ensure that our ADX implementation, data migration strategy, and observability stack are aligned with best practices for scalability, performance, and cost efficiency. Key Responsibilities • Act as a strategic advisor to our engineering and infrastructure teams as we integrate additional systems and reports with ADX. • Review and validate existing ADX configurations, ingestion pipelines, and data models. • Provide guidance on data migration strategies, retention policies, and performance optimization. • Ensure proper observability and monitoring are in place using tools such as Datadog, Azure Monitor, and related platforms. • Offer best practices for managing and scaling telemetry and IoT data workloads. • Participate in periodic architecture reviews and provide actionable feedback to technical leadership. What We're Looking For • Proven experience designing and optimizing Azure Data Explorer (ADX) environments at scale. • Strong background in IoT, time-series data, and streaming architectures. • Hands-on familiarity with observability tools such as Datadog, Azure Monitor, Grafana, or Prometheus. • Understanding of related Azure services (Event Hubs, IoT Hub, Data Factory, Synapse, Log Analytics). • Excellent communication and advisory skills; able to collaborate effectively with both technical and leadership teams. • Prior consulting or fractional advisory experience preferred. Engagement Details • Part-time, advisory role (approx. 2-5 hours per week). • Flexible schedule; remote candidates welcome. • Focused on mid-to-late project validation and optimization, not initial architecture design.
$105k-145k yearly est. 1d ago
Software Engineer
Medwatchers
Data engineer job in San Diego, CA
Join the Future of Healthcare at MedWatchers MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model-ranging from full SaaS, hybrid solutions, to fully delegated services-we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions. Our comprehensive suite includes: CMAPP, our cloud-based care management platform Advanced analytics and risk-based targeting to derive ROI Omnichannel member and provider engagement Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects We're trusted by over 60 national and regional health plans-including the six largest payers in the U.S. As we scale, we're expanding our San Diego-based Technology Team across multiple positions. We're hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego. Software Engineer (various levels) Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience) Location: Onsite - San Diego, CA (No remote) Preferred Qualifications: MS or PhD in Computer Science or related field (BS acceptable with strong experience) Salary Range: $100,000 - $175,000 (based on experience and skills) + Annual Bonus Overview Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You'll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment. Key Responsibilities Develop and maintain full-stack web applications with clean, testable code Design and implement RESTful APIs and backend services Build responsive, component-based user interfaces using modern JavaScript frameworks Work with cloud-native tools and infrastructure for scalable deployment Participate in code reviews, technical design discussions, and agile ceremonies Collaborate cross-functionally with product managers, clinicians, and data teams Ensure performance, reliability, and security of deployed applications Contribute to platform architecture decisions as the product scales Representative Technologies (familiarity with similar tools is welcome) Frontend: JavaScript (React, Angular, Vue) Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust Databases: PostgreSQL, MongoDB, Redis Cloud Platforms: AWS, Azure, GCP DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes Ideal Experience Strong programming fundamentals and debugging skills Proven experience in full-stack application development Familiarity with modern deployment workflows and cloud services Agile team collaboration and iterative product delivery Bonus: Exposure to healthcare data, APIs, or workflows We offer a comprehensive benefits package, including: 401(k) with company matching Health, dental, and vision insurance Paid time off (PTO) Tuition reimbursement Employee discounts
$100k-175k yearly 18h ago
Senior Software Engineer
Checkrx
Data engineer job in San Diego, CA
About the Role: CheckRx is a leader in Medicare AI assistance, transforming how individuals navigate healthcare enrollment. We combine technology with a mission-driven approach to make access to healthcare more intuitive. We are seeking a Senior Software Engineer to serve as a foundational technical leader. This role requires extensive startup experience, a passion for mentoring, and the architectural expertise to build and scale high-performance systems from the ground up. Who You Are: 6+ years of professional software engineering experience, with a focus on system architecture and scaling. Expert in system architecture, design patterns, and scaling strategies for complex, distributed systems. Proven mentor with a track record of elevating junior engineers and establishing high-quality coding standards. Veteran of the startup ecosystem who thrives in fast-paced, unstructured environments and takes ownership of the product. Clear communicator capable of articulating technical trade-offs to both engineering teams and business stakeholders. Disciplined builder committed to operational excellence, including code reviews, CI/CD, and robust testing protocols. What You'll Do: Lead the architecture and design of new features and core systems to ensure reliability and scalability. Drive the full software development life cycle, from initial requirements through to continuous deployment and monitoring. Establish and uphold professional engineering best practices, including coding standards and source control management. Mentor and grow the engineering team, providing technical guidance and fostering a culture of continuous learning. Collaborate directly with founders and cross-functional teams to translate business vision into maintainable technical solutions. Spearhead the transition toward structured development methodologies as the engineering organization expands. What You'll Get: Compensation: $150,000 - $200,000 base salary (negotiable to match prior salary). Equity: Significant ownership stake of up to 40% of base salary. Impact: Founding-team level ownership over the future of an AI-driven healthcare platform. Growth: A direct path to executive engineering leadership roles as the company scales. Culture: An in-person, collaborative environment working alongside a high-growth startup team. Position Details: Job Type: Full-Time (In-person) Location: San Diego, CA Schedule: Monday - Friday (In-office) Requirements: Ability to commute to our San Diego location and prior startup experience.
$150k-200k yearly 1d ago
Machine Learning u0026 Data Scientist, OS Power u0026 Performance
Apple Inc. 4.8
Data engineer job in San Diego, CA
Great performance is critical to Apple's product experience. We are seeking a Machine Learning u0026 Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple's software u0026 hardware performance excites you, we encourage you to apply! We're looking for a proactive u0026 impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis u0026 communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business u0026 product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition Proficiency in distributed compute u0026 storage technologies such as HDFS, S3, Iceberg, Spark, and Trino Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) Working knowledge of Operating Systems Experience driving cross-functional projects with diverse sets of stakeholders Skilled at connecting data insights to the company's overall strategy and objectives. Strong Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. Strong mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning are expected. Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python u0026 Spark) and data visualizations (e.g. Tableau) Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders. Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.
$138k-180k yearly est. 5d ago
Data Scientist
Insurance Company of The West
Data engineer job in San Diego, CA
Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Data Scientist will build high performing machine learning models across the enterprise. As a key member of the rapidly growing Enterprise Analytics team, this role has the opportunity to develop and deploy impactful generative AI / LLM / ML solutions that drive revenue growth, reduce expenses, and enhance customer experience. This role will perform analyses of internal and external data sources in support of key business functions and develop predictive, descriptive modeling and identify areas of improvement for ICW business units. The Data Scientist will collaborate closely with business partners in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize the value in our extensive data resources. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and deploy high performing AI/ML solutions. Utilize LLM models to improve organization efficiency, and tune models as needed. Perform prompt engineering. Develop innovative AI and ML solutions and implement scalable feature engineering. Create POC, MVP, as well as full-featured applications Research and recommend emerging AI and ML approaches and present research results to stakeholders. Partner effectively with data engineering and MLOps teams to ensure internal and external data pipelines support sophisticated data models and proper monitoring and alerting is in place. Collaborate with machine learning engineers as they harden models and move them from the lab into production. Identify and measure levers that impact essential metrics; communicate steps to business stakeholders. Keep up to date with latest research in the field and contribute to maintaining and growing an active data science community at ICW Group. Drive insights and improve workflows and business processes throughout the organization. Specify and develop advanced AI techniques to discover patterns, insights, and trends in ICW data. Drive and strategize with other scientists and internal business units to ensure effective execution of data-driven initiatives. Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies. Collect, aggregate, and analyze data from multiple internal and external sources for use in the most advanced analytics. Contribute to development of AI and ML internal policies and help ensure Enterprise Analytics team is compliant with applicable regulations. Write code to help build and maintain data pipelines for production models. Develop the highest quality, replicable predictive and descriptive analytics for business use. Actively evaluate (tracks and validates) existing models to ensure optimal data-driven decisions and make changes as needed. Develop a strong understanding of the business issues and data challenges of the organization in order to drive meaningful insights. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Analyze current business processes; make recommendations to management for new, more efficient, workflows, and processes. EDUCATION AND EXPERIENCE Bachelor's degree required with a major in Statistics, Cognitive Science, Mathematics, Physics, Computer Science, Electrical Engineering, Psychology, Neuroscience or related field and a minimum of 4 years of industry experience in data science roles; OR Master's Degree and a minimum of 2 years of industry experience in data science roles; OR PhD in a related field with research involving AI/ML. Ph.D. preferred. KNOWLEDGE AND SKILLS Strong interest in and familiarity with LLMs / generative AI. Experience with LLM tuning and distillation. Knowledge and experience with statistical and machine learning algorithms, forecasting, recommender systems, reinforcement learning, deep learning, and optimization. Cloud computing experience using several AWS tools and services. Strong knowledge and experience with Python and SQL. Containers and agile methodology. Experience with PyTorch and MLflow. Knowledge of databases and database methodology, especially Snowflake. Experience with model deployment. Knowledge in one or more of the following areas: Casual Inference, Anomaly Detection and/or modern Natural Language Processing techniques. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear. WORK ENVIRONMENT This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. We are currently not offering employment sponsorship for this opportunity. #LI-TP1 #LI-HYBRID The current range for this position is $121,624.81 - $217,710.99 This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work. WHY JOIN ICW GROUP? • Challenging work and the ability to make a difference • You will have a voice and feel a sense of belonging • We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match • Bonus potential for all positions • Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year) • 11 paid holidays throughout the calendar year • Want to continue learning? We'll support you 100% ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law. ___________________ Job Category Actuarial
$121.6k-217.7k yearly Auto-Apply 5d ago
Staff Algorithm Engineer / Data Scientist
Biolinqorporated
Data engineer job in San Diego, CA
Full-time Description WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles ****************. Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information. See the Federal Trade Commission's warning on this topic at: ******************************************* The only official source for actual Biolinq job postings/openings is at ************************ While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq's careers web page, you should visit *********************** to verify the accuracy of the openings found on third party web sites. About the Company Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. Job Purpose This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities. Duties and Responsibilities Algorithm development for Continuous Glucose Monitoring system and other analytes Develop signal processing algorithms for signal noise reduction and fault detection Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy Processing large datasets using state of the art methods Assisting with preparation of reports or presentations to fulfil business or regulatory needs Other tasks as assigned Requirements Qualifications Master's degree and 8 years of experience required. PhD degree preferred. Scientific or Engineering discipline required. Minimum of 5 years' experience in signal processing, time series data analysis and algorithm development, preferably in a medical device setting Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data Must be capable of supporting projects independently without supervision Experience with advanced computing languages such as Python, R, or Matlab Experience with machine learning and data mining methods Ability to interface with both clinicians and R&D team and work in a fast-paced, multi-disciplinary environment Capacity to manage multiple projects and communicate ideas clearly to the team; excellent written and verbal communication skills Working Conditions General office and laboratory. Physical Requirements While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds. BENEFITS Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered for employment. As an Equal Opportunity Employer, we intend to comply fully with applicable federal, state and/or local employment laws and the information requested on this application will only be used for purposes consistent with those laws. To the extent required by applicable law, The Company maintains a smoke- free workplace. As part of our efforts to ensure fair and equal pay based on merit, Biolinq supports pay transparency internally and during the recruitment process. The U.S. base salary range reasonably expected to be paid for this role is: $150,000 to $180,000 per year. We may ultimately pay more or less than the posted range. Actual compensation packages are commensurate with experience and based on a variety of factors that are unique to each candidate including, but not limited to: skill set, depth of experience, education, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the U.S. The total compensation package for this position may also include an annual performance bonus and/or other applicable incentive compensation plans. Biolinq also offers a comprehensive package of benefits including paid time off (vacation, holidays, sick time, parental leave), medical/dental/vision insurance, and 401(k) to eligible employees, subject to the terms and conditions of the applicable plans and any written agreement between the parties. Your recruiter can share more about the total compensation package during the hiring process. Please note: The information contained herein is not intended to be an all-inclusive list of duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Biolinq Talent Acquisition at ******************* Salary Description $150,000-$180,000
$150k-180k yearly Easy Apply 12d ago
Data Scientist
Us01
Data engineer job in San Diego, CA
At ASML, we believe in harnessing the power of data to shape the future of technology. As a Data Scientist, you contribute directly to breakthroughs in semiconductor manufacturing, ensuring our products continue to transform how the world connects, creates, and innovates. In this role, you work in our Data Science department, collaborating with diverse teams to solve challenges that impact real-world applications. Located in Wilton, Connecticut, you bring your passion for data and problem-solving to an inclusive and dynamic workplace, whether you are early in your career or bringing years of experience. Role and Responsibilities As a Data Scientist, you play a pivotal role in leveraging data to drive insights and solutions for ASML's business and technology goals. In this candidate-centered position, you will: Analyze complex datasets to uncover trends and patterns that support strategic decision-making Design and implement predictive models to address technological challenges within the semiconductor industry Collaborate with cross-functional teams to translate business needs into data-driven solutions Communicate findings in a clear and actionable manner to technical and non-technical audiences Develop data visualization tools that make insights accessible and impactful Ensure the quality and integrity of data through robust validation and testing processes Stay up to date with best practices in data science and apply them to ongoing projects Education and Experience Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field 1 or more years of experience applying data science methods in a professional or academic setting Experience working with industry-standard tools such as Python, R, or SQL Background in developing and deploying predictive models using real-world datasets Experience in the technology or manufacturing sector is a plus Skills As a Data Scientist at ASML, you bring a blend of technical expertise, curiosity, and collaboration. You thrive in a diverse environment and are motivated to solve problems with creativity and precision. These essential skills help you succeed in the role: You apply statistical methods and machine learning techniques with confidence You communicate complex ideas clearly to a variety of audiences Data Cleansing (ETL) Deep understanding of statistics Data storytelling You handle large datasets efficiently and with attention to detail You are comfortable using data visualization tools to share your insights You work effectively both independently and as part of a team You approach challenges with a growth mindset and a willingness to learn You manage your time and priorities to meet deadlines You demonstrate ethical responsibility in handling data and information You proactively seek feedback and opportunities for personal and professional development You adapt quickly to new technologies and evolving project requirements The current base annual salary range for this role is currently: $99,375-165,625 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
$99.4k-165.6k yearly Auto-Apply 4d ago
Data Scientist - Academics
Art of Problem Solving 3.7
Data engineer job in San Diego, CA
At AoPS, data sits at the heart of how we grow and deliver our mission. We serve tens of thousands of students around the world, generating data about how families discover us, how students learn, and how our operations scale. Yet, like our curriculum and teaching, the true value of our data comes from how well we can translate it into actionable insight. AoPS is unique because it brings together academics, operations, and technology under one roof. We design our own curriculum, run physical academies, deliver online courses, and build the platforms that power it all. This created a rich and complex data environment--one that grew organically as the business grew and we are working on creating a more cohesive stack so every business line runs on the same system. Your job will be to turn raw data into clear, actionable insights, while proactively identifying areas for improvement. We are hiring a Data Scientist to support our Academics department and course experience team with learning research, advanced analytics, and experimentation. In this role, you will bridge the gap between the data that our curriculum developers and customers generate and the evidence we need to improve learning outcomes, instructional design, and student experience. You will own analytic frameworks, build statistical and machine learning models, and collaborate closely with curriculum developers, product teams, and senior academic leadership. The Data Scientist (Academics) will: Take ownership of learning analysis and applied research for the Academics department, ensuring analyses, models, and data tools are accurate and aligned with strategic goals. Partner with stakeholders to translate academic, curriculum, and product questions into testable hypotheses, measurable outcomes, and business decisions. Work with the data team to define, govern, and validate the metrics, features, and data structures needed to support consistent, science-driven analyses. Use SQL and Python to power analyses, modeling, reproducible research, and data-driven recommendations. Proactively investigate patterns and anomalies in learning data to uncover meaningful trends, identify drivers of student outcomes, and separate actionable insights from background noise. Champion data literacy and effective analytic practices across the organization. Completes other tasks and responsibilities, as assigned. The ideal candidate has: 2-4 years of experience in data science, applied statistics, quantitative research, or similar analytical role with a track record of driving meaningful impact. Proficiency in Python for data analysis, statistical modeling, and machine learning (using packages like pandas or polars for data manipulation, scikit-learn or statsmodels for model development, and PySpark or Dask for distributed computing). Experience using tools and best practices for reproducible research (e.g., version-controlled analysis, environment management, documented workflows) and with MLOps to ensure analyses and models are stable, repeatable, and maintainable. Strong understanding of concepts relevant to learning research, such as experimental design, hypothesis testing, feature engineering, regression modeling, causal inference, clustering, and evaluating data quality in educational or behavioral datasets. Experience using SQL data warehouses such as Redshift, Snowflake, or BigQuery to gather and transform data for analysis. We use Redshift and dbt. Experience using data visualization or BI tools like Lightdash, PowerBI, Tableau, or Looker. We use Lightdash. Excellent communication skills with the ability to gather requirements from stakeholders, prioritize potential projects, and translate complex quantitative findings into actionable insights for the academics team. Why Join AoPS: This is a hybrid full-time position based at our headquarters in San Diego, CA. The full salary range for this position is 137.8k-169.6k. Here are some things you can look forward to: Impact: Transform learning data into evidence-based insights that help us create more effective courses and better outcomes for the next generation of problem solvers. Flexibility: Casual work environment with a hybrid work week and flexible scheduling Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401K with company match Quality of Life: PTO Plan and supportive leadership that gives you the work-life balance you deserve Ease of Transition: Relocation bonus (if currently located outside of San Diego) Background Check: Please note that employment is contingent on the successful completion of a background check. Work Authorization: Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B. About AoPS: Art of Problem Solving (AoPS) is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, we have trained hundreds of thousands of the country's top students, including nearly all the members of the US International Math Olympiad team, through our online school, in-person academies, textbooks, and online learning systems. While our primary focus has been math for most of our history, through the years we have expanded our unique problem solving curriculum into more subjects, such as language arts, science, and computer science.
$102k-145k yearly est. Auto-Apply 17d ago
Data Scientist II (RWD)
Veracyte 4.6
Data engineer job in San Diego, CA
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced data scientist to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world's largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. The primary objective of this role is to analysis millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Assist in analyzing real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs. Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text. Assist in conducting statistical analysis and survival modelling for the clinical events defined from real-world data. Ability to visualize finding from the data and summarize them in a coherent story. Support data scientists in developing digital pathology AI models Work with bioinformatician, statistician, and medical experts in manuscripts. Who You Are: REQUIRED EXPERIENCE: PhD in Statistics, Data Science, or equivalent field. 3+ years of experience of data/applied scientist role or equivalent. Experience in working with real-world data of insurance claims and EHR records Proficient in SQL and R. Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent. Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable. Knowledge of basic bioinformatics, genomics, and cancer biology Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields Research experience with developing AI models such as LLM, vision/time series foundation models. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$101,000-$140,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************
$101k-140k yearly Auto-Apply 2d ago
Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA
Dsm-Firmenich
Data engineer job in San Diego, CA
Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. **Your Key Responsibilities:** + Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. + Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. + Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. + Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. + Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. + Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. + Team-up with other data scientists and life science experts around the globe to drive project success **We Bring:** + Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. + Highly motivated, professional and committed multicultural and interdisciplinary team. + Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. + Grow and develop your skills through our in-house training courses. + Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. + A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. **You Bring:** + Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. + 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. + Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. + Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. + Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. + Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. + Excellent problem-solving skills and proven ability to work both independently and collaboratively. + Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. **About dsm-firmenich** At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we **go beyond, together** . **The application process** Interested in this position? Please apply online by uploading your resume in English. **Inclusion, belonging and equal opportunity statement** At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. **Agency statement** We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role
$97k-139k yearly 60d+ ago
Mid Data Scientist
Ignite Digital Services
Data engineer job in San Diego, CA
Are you searching for an opportunity to take your career to the next level? Ignite Digital Services is a fast-growing digital transformation company serving the national security sector. Our small business applies data science, program management and technical domain expertise to help clients implement data-driven approaches that maximize operational efficiencies. We've redefined what it means to be a leader in our industry by creating and maintaining effective and rewarding working relationships with our clients, partners and internal team members. Our company culture is built upon a team-based approach, which offers continuous opportunities for personal growth and innovation, while providing unmatched value to our clients. Perks of Working at Ignite Digital Services: Competitive pay and benefits, including PTO Education stipends and referral bonuses Compelling work with the U.S. federal government Strong emphasis on volunteer and community engagement Opportunity to shape the future of our industry Supportive colleagues and management who invest in your growth We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. Responsibilities: Collect, process, and analyze large structured and unstructured datasets from multiple sources Develop, test, and deploy machine learning models to solve business problems and optimize operations Design and implement statistical models, data pipelines, and predictive analytics solutions Communicate findings and insights clearly through visualizations, dashboards, and reports Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation Stay current with emerging data science methodologies, tools, and industry best practices Ensure compliance with data governance, privacy, and security standards Qualifications: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) 2 to 5+ years of applied experience in data science, machine learning, or analytics Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred Strong problem-solving and critical thinking abilities Excellent communication skills to translate complex data insights into actionable business recommendations Ability to work independently and in a collaborative team environment Detail-oriented with a passion for continuous learning and innovation Ability to obtain DOD Secret clearance Technical Skills: Proficiency in Python or R for statistical modeling and machine learning Strong knowledge of SQL and experience with relational and non-relational databases Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Schedule: 100% onsite in San Diego, CA Salary: 120k+ to align with experience and education Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Ignite Digital Services is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors. Equal Opportunity Employer/Veterans/Disabled For individuals who would like to request an accommodation, please visit ********************** (CA) or ********************** (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. OFCCP'S Pay Transparency Rule EEO is the Law Poster
$92k-133k yearly est. Auto-Apply 60d+ ago
Senior Data Engineer
Fairsquare 4.4
Data engineer job in San Diego, CA
Senior Data Engineer - San Diego, CA, Irvine, CA, Orlando, FL, or Atlanta, GA. Hybrid 3 days/week, Full time M-F 8am-5pm PST/EST Being authorized to work in the U.S. is a precondition of employment. FairSquare does not consider candidates requiring 1099 or C2C. Exempt/Salary: $101,000-$161,000 + Bonus FairSquare is continuing to grow its Data Engineering Department and has an exciting opportunity for a Senior Data Engineer. Reporting to the Manager, Data Engineering, the Data Engineer will be focusing on understanding the data flow across source systems, assisting in integrating data for operational use and creating an intuitive and highly integruous data environment to support modeling, analytics and reporting. Responsibilities: The data engineer will participate in the on-going data warehouse implementation and work closely with the data and risk teams including analysts, data scientists, and business stakeholders. This includes the full DW lifecycle of requirements gathering, data modeling, data mapping, ETL, QA and maintenance. The primary responsibility will be ETL work using dbt integrating data, applying business rules and transformations, creating both normalized and de-normalized data. Additionally, there will be tasks to create pipelines within AWS for varying data sources and destinations. This role will also be involved in the design, development and maintenance of operational applications. Other responsibilities include supporting other data engineers, managing CI/CD pipelines through git, administrative tasks for project management and platform maintenance, data sourcing, responding to and resolving alerts quickly, documentation, AWS work and other tasks to support the data driven nature of the company. Knowledge, Skills and Abilities Required: 5+ years' experience working as a Data Engineer; data warehousing, ETL, pipelines, governance. Expertise in dbt, Snowflake, git and AWS required. Expertise in data modeling, ETL, data governance required. Experience with Salesforce is a plus. Nice to Have Skills: Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, techniques using UDFs. Experience in Snowflake administration (resource monitors, RBAC, virtual warehouse sizing, query performance tuning, time travel). Experience with designing and implementing data quality metrics. Experience in git integrations with dbt and JIRA. Physical Demands: Working in a temperature-controlled office environment Sitting at a desk for prolonged periods of time while viewing multiple computer screen monitors Potential lifting of boxes around 5-10lbs Why FairSquare? Growing, successful company preparing to almost double in size over the next three years (this is your opportunity to get in on the ground floor) Positive, energetic, passionate, business casual environment with management who committed to your success Fantastic benefits package including a 401(k) match Numerous employee events throughout the year, including our annual traditions such as a Day at the Del Mar Racetrack, Holiday Party, Employee and Family Picnic, sporting events and more. FairSquare and it's family of brands has been serving the small business community since 1999. We have provided more than $3 billion in funding to over 50,000 customers to support their working capital and equipment financing needs. We are one of the country's largest private providers of small business loans, having funded more than $3 billion to help small businesses grow. Our personal approach helps strengthen small business owners and we pride ourselves on being a resource they can trust. We are believers in small business owners. FairSquare is an Equal Opportunity Employer.
$110k-155k yearly est. 60d+ ago
Lead Data Engineer
Carlsmed 3.9
Data engineer job in Carlsbad, CA
We are seeking a Lead Data Engineer to join our software and enabling technologies team, supporting the development of advanced surgical planning platforms and AI/ML-driven applications for personalized spine surgery. This role focuses on building robust, compliant data pipelines that enable real-time analytics, clinical insights, and AI-assisted decision-making across the product lifecycle. Key Responsibilities Design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming medical imaging, surgical planning, and intraoperative data. Collaborate with software engineers, data scientists, and clinical experts to ensure high-quality, structured datasets for AI/ML model training and predictive analytics. Build and optimize data storage solutions that support large-scale medical imaging and patient-specific digital twin models. Implement monitoring, testing, and validation frameworks to ensure data integrity, reproducibility, and compliance with FDA, HIPAA, ISO 13485, and IEC 62304 standards. Work closely with product owners and clinical stakeholders to translate business and clinical needs into reliable data workflows. Support reporting and visualization needs for surgical outcomes and regulatory submissions. Drive continuous improvements in data governance, security, and compliance practices. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or related field. 5+ years of experience in data engineering, preferably in healthcare, medical devices, or other regulated industries. Strong programming skills in Python, SQL, and familiarity with data frameworks (Spark, Airflow, DBT, etc.). Experience with TypeScript is a plus. Experience with cloud-native data platforms (AWS, Azure, or GCP); knowledge of AWS preferred. Familiarity with handling DICOM and medical imaging data; experience in healthcare interoperability standards (HL7, FHIR) is a plus. Understanding of AI/ML workflows, model deployment, and data pipelines for model training/inference. Experience in feature engineering and familiarity with ML frameworks (TensorFlow, PyTorch) and ML platforms (SageMaker) is a plus. Strong communication skills with the ability to work cross-functionally in a fast-paced, highly collaborative environment. Equal Opportunity Employer Carlsmed is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Carlsmed is committed to providing reasonable accommodation for candidates with disabilities in our recruitment process. If you need assistance or accommodation due to a disability, please let us know. Compensation We are pleased to provide a competitive salary and benefits. Our benefits reflect our investment in the overall health and well-being of our employees and their families, including paying 100% of monthly healthcare, dental and vision insurance premiums, a 401(k) plan with employer matching, and unlimited PTO. The expected pay range is: $160,000 to $180,000 annually. Compensation may vary based on related skills, experience, and relevant key attributes.
$160k-180k yearly 34d ago
BigData Engineer with Spark, Python, Scala and Java
Jobsbridge
Data engineer job in San Diego, CA
Hello, Greetings from Jobsbridge! Jobsbridge, Inc. is a fast growing Silicon Valley based I.T staffing and professional services company specializing in Web, Cloud & Mobility staffing solutions. Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Job Description 1-2 years of SPARK Streaming experience with Scala, Python and Java in real time production exp. • Total IT around 6yrs to 8yrs is good enough. We don't need Architects, just need smart coders • Develop and maintain our Big Data pipeline that transfers and processes several terabytes of data using Apache Spark, Python, Apache Kafka, Hive & Impala. • Design and build reports and dashboards using Tableau or other reporting tools • Perform adhoc data analysis, data processing, data visualization using SQL and other scripts • Work directly with product stake holders at the company to help them solve their most difficult problems. • Excellent Programming skills using Python, Scala, Perl, Shell, etc. • Familiarity with SQL and NoSQL technologies. • Experience with Production Hadoop ecosystem. • Proficiency with relational databases and SQL. • Experience with Tableau or other reporting tools. • Well versed in software development principles and processes, including: analysis, design, and continuous delivery. • Good communication skills that can deal with diverse types of people from Data Science, Marketing, Finance, Product Management and QA groups. Qualifications Apache Spark, Python, Apache Kafka, Hive & Impala, Scala, Python and Java Additional Information Only GC/Citizen,OPT,EAD,H4
$98k-137k yearly est. 60d+ ago
Senior Data Engineer
Mount Indie
Data engineer job in San Diego, CA
Job Description Mount Indie is seeking a Senior Data Engineer to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges. This role requires deep experience across data engineering, distributed systems, event streaming, cloud data frameworks, and mission-focused analytics. The Senior Data Engineer will support complex data integration efforts, collaborate with cross-functional engineering teams, and lead data architecture improvements aligned with operational Navy needs. Responsibilities: Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics. Design, develop, and implement data pipelines and analytics for naval applications. Perform exploratory data analysis, algorithm development, and testing. Normalize and structure data to common standards for interoperability. Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC. Develop and deploy data pipelines and analytics in real-world operational environments. Deploy, monitor, and optimize data pipelines to ensure high performance and reliability. Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ. Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark. Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS. Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake. Work with GIS data using ArcGIS, PostGIS, and related tooling. Implement containerized environments using Docker or Kubernetes. Apply cybersecurity principles in the context of secure DoD data applications. Communicate findings and engineering solutions effectively with technical and mission stakeholders. Required Skills and Experience: At least 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer. Strong programming skills in Python. Programming experience in Go or Rust. Proven experience designing, developing, and deploying complex data pipelines. Familiarity with data formats including CSV, JSON, XML, Parquet, ORC. Familiarity with event streaming technologies: Kafka, AWS Kinesis, RabbitMQ, ZeroMQ. Experience deploying, monitoring, and optimizing operational data pipelines. Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores. Experience with AWS data services (EFS, RDS, S3, SNS, SQS). Experience with distributed computing: AWS Lambda, DASK, Spark. Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake. Experience integrating and retrieving GIS data (ArcGIS, PostGIS). Strong analytical and problem-solving skills. Excellent communication skills in a collaborative team environment. Previous experience supporting government agencies or military organizations. Preferred Skills and Experience: Experience leading data engineering efforts in secure DoD environments. Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs. Experience architecting data solutions across multi-domain or cross-domain systems. Familiarity with MLOps pipelines or AI-enabled analytics workflows. Experience with cloud-native data architecture and API design. Education and Certification Requirements: Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics. Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract. Citizenship and Clearance Requirements: US Citizenship No dual citizenship Active DoD TS/SCI clearance required Location: Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or San Diego, CA. Travel: Up to 15% CONUS, and limited OCONUS if mission requires.
$98k-137k yearly est. 7d ago
Senior Data Engineer (Op AI)
PMAT 3.9
Data engineer job in San Diego, CA
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Data Engineer to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges. This role requires deep experience across data engineering, distributed systems, event streaming, cloud data frameworks, and mission-focused analytics. The Senior Data Engineer will support complex data integration efforts, collaborate with cross-functional engineering teams, and lead data architecture improvements aligned with operational Navy needs. Responsibilities: Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics. Design, develop, and implement data pipelines and analytics for naval applications. Perform exploratory data analysis, algorithm development, and testing. Normalize and structure data to common standards for interoperability. Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC. Develop and deploy data pipelines and analytics in real-world operational environments. Deploy, monitor, and optimize data pipelines to ensure high performance and reliability. Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ. Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark. Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS. Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake. Work with GIS data using ArcGIS, PostGIS, and related tooling. Implement containerized environments using Docker or Kubernetes. Apply cybersecurity principles in the context of secure DoD data applications. Communicate findings and engineering solutions effectively with technical and mission stakeholders. Required Skills and Experience: At least 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer. Strong programming skills in Python. Programming experience in Go or Rust. Proven experience designing, developing, and deploying complex data pipelines. Familiarity with data formats including CSV, JSON, XML, Parquet, ORC. Familiarity with event streaming technologies: Kafka, AWS Kinesis, RabbitMQ, ZeroMQ. Experience deploying, monitoring, and optimizing operational data pipelines. Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores. Experience with AWS data services (EFS, RDS, S3, SNS, SQS). Experience with distributed computing: AWS Lambda, DASK, Spark. Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake. Experience integrating and retrieving GIS data (ArcGIS, PostGIS). Strong analytical and problem-solving skills. Excellent communication skills in a collaborative team environment. Previous experience supporting government agencies or military organizations. Preferred Skills and Experience: Experience leading data engineering efforts in secure DoD environments. Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs. Experience architecting data solutions across multi-domain or cross-domain systems. Familiarity with MLOps pipelines or AI-enabled analytics workflows. Experience with cloud-native data architecture and API design. Education and Certification Requirements: Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics. Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract. Citizenship and Clearance Requirements: US Citizenship No dual citizenship Active DoD TS/SCI clearance required Location: Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or San Diego, CA. Travel: Up to 15% CONUS, and limited OCONUS if mission requires. Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ
$98k-138k yearly est. 14d ago
Slalom Flex (Project Based) - Data Engineer
Slalom 4.6
Data engineer job in San Diego, CA
Data Engineer Who You'll Work With At Slalom, personal connection meets global scale. Our vision is to enable a world in which everyone loves their work and life. We help organizations of all kinds redefine what's possible, give shape to the future-and get there. What You'll Do * Perform manual data ingestions * Monitor and resolve data pipelines * Maintain quality control of operations What You'll Bring * 3+ years of data engineering experience specifically using Azure. * Hands on experience with FiveTran, Azure Data Factory, Azure Blob Storage, Azure SQL Server. * Hands on experience with SQL and data validation. * Hands on experience monitoring and troubleshooting data pipelines in production. * Understanding or hands-on experience with reporting dashboards such as Tableau or Power BI. * Strong communication. * Consulting experience preferred. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the pay range is 55/HR to $80/HR. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We will accept applicants until December 18th, 2025. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: ********************. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact ****************************** if you require accommodations during the interview process.
$80 hourly Easy Apply 18h ago
Senior Data Engineer
Rockstar Games 4.5
Data engineer job in Carlsbad, CA
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles. The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications across the company. This is a full-time, in-office position based out of Rockstar's new state-of-the-art game development studio in Carlsbad, CA. WHAT WE DO * The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making. * We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements. RESPONSIBILITIES * Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools. * Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation. * Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility. * Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products. * Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies. * Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices. * Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support. REQUIREMENTS * 5+ years of work experience with designing and development of modern data pipelines. * 4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing. * Strong software engineering fundamentals - design patterns, testing strategies (unit, integration) code review practices, system design thinking. * Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning. * Track record of building and optimizing terabyte or petabyte-scale data warehouses. * Ability to work independently on loosely-defined projects - gathering requirements, making architectural decisions, and following through completion. * Experience building Real-Time and/or Near-Real-Time data pipelines. * Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences. PLUSES Please note that these are desirable skills and are not required to apply for the position. * Databricks platform experience (Delta Lake, Unity Catalog, Workflows). * Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components. * Containerization and orchestration (Docker, Kubernetes). * Experience with Java or Scala. * Experience with CI/CD (TeamCity, Octopus). * RESTful API design, usage, and consumption. * Gaming industry experience or passion for games. * Experience in Machine Learning pipelines and popular libraries. ADDITIONAL INFORMATION HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. #LI- The pay range for this position in San Diego at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. * San Diego Base Pay Range $121,400-$161,800 USD
$121.4k-161.8k yearly Auto-Apply 1d ago
Data Engineer
Bing Surf Shop
Data engineer job in Encinitas, CA
Job Description: Data Engineer at Bing SurfboardsJob Responsibilities: Design, develop, and data pipelines and ETL processes to support data analytics and reporting needs. Collaborate with cross-functional teams to understand business requirements and transform them into technical solutions. Optimize and tune data storage and processing systems for performance and scalability. Implement data quality and governance processes to ensure data accuracy and consistency. Identify and resolve data-related issues and troubleshoot technical problems as they arise. Essential Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Proven experience in data engineering, data analysis, or a related field. Strong proficiency in SQL and other data querying languages. Experience with data warehousing solutions and ETL tools. Knowledge of data modeling and database design principles. Desired Experience: 2+ years of experience in a data engineering role. Experience working with big data technologies like Hadoop, Spark, or Kafka. Familiarity with cloud platforms such as AWS, GCP, or Azure. li>Experience with data visualization tools like Tableau or Power BI. Salary & Benefits: The salary for this position ranges from $30,000 to $40,000 annually, depending on qualifications and experience. Employees will also receive benefits such as health insurance, paid time off, and potential performance bonuses.
$30k-40k yearly 5d ago

Learn more about data engineer jobs

How much does a data engineer earn in Poway, CA?

The average data engineer in Poway, CA earns between $84,000 and $159,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in Poway, CA

$116,000

$84,00010%

$116,000Median

$159,00090%

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Data engineer jobs in Poway, CA

Cybersecurity Engineer III **

Advisory Azure Data Architect

Software Engineer

Senior Software Engineer

Machine Learning u0026 Data Scientist, OS Power u0026 Performance

Data Scientist

Staff Algorithm Engineer / Data Scientist

Data Scientist

Data Scientist - Academics

Data Scientist II (RWD)

Associate Data Scientist, Taste Ingredient Discovery - San Diego, CA

Mid Data Scientist

Senior Data Engineer

Lead Data Engineer

BigData Engineer with Spark, Python, Scala and Java

Senior Data Engineer

Senior Data Engineer (Op AI)

Slalom Flex (Project Based) - Data Engineer

Senior Data Engineer

Data Engineer

Learn more about data engineer jobs

How much does a data engineer earn in Poway, CA?