Data engineer jobs in Chico, CA - 16,181 jobs

A cutting-edge AI search engine company in San Francisco is seeking a Data Partnerships specialist to build their data pipeline. The role involves owning the partnerships cycle, making strategic decisions, negotiating contracts, and potentially building a team. Candidates should have experience in contract negotiation and a Juris Doctor degree. This in-person role offers a competitive salary range of $160,000 - $250,000 with above-market equity. #J-18808-Ljbffr

A technology finance firm in San Francisco is seeking an experienced Data Engineer. The role involves building data pipelines, integrating data across various platforms, and developing scalable web applications. The ideal candidate will have a strong background in data analysis, software development, and experience with AWS. The salary range for this position is between $160,000 and $210,000, with potential bonuses and equity. #J-18808-Ljbffr

An innovative tech firm in Berkeley seeks a Senior Data Engineer to manage complex data engineering pipelines. You will ensure data quality, support ML engineers across locations, and establish infrastructure standards. The ideal candidate has over 5 years of experience in Data Science or MLOps, strong algorithmic skills, and proficiency in GCP, Python, and SQL. This role offers competitive salary and the chance to impact a growing team in a dynamic field. #J-18808-Ljbffr

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world's scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged), Backflip combines deep industry insight with breakthrough AI research. Backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team. We're building the AI foundation that tomorrow's space elevators, nanobots, and spaceships will be built in. If you're excited to define the next generation of hard tech, come build it with us. The Role We're looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip's foundation model for manufacturing and CAD. You'll design the systems, tools, and strategies that turn the world's engineering knowledge - text, geometry, and design intent - into high-quality training data. This is a core leadership role within the AI team, driving the data architecture, augmentation, and evaluation that underpin our model's performance and evolution. You'll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. What You'll Do Architect and own Backflip's ML data pipeline, from ingestion to processing to evaluation. Define data strategy: establish best practices for data augmentation, filtering, and sampling at scale. Design scalable data systems for multimodal training (text, geometry, CAD, and more). Develop and automate data collection, curation, and validation workflows. Collaborate with MLEs to design and execute experiments that measure and improve model performance. Build tools and metrics for dataset analysis, monitoring, and quality assurance. Contribute to model development through insights grounded in data, shaping what, how, and when we train. Who You Are You've built and maintained ML data pipelines at scale, ideally for foundation or generative models, that shipped into production in the real world. You have deep experience with data engineering for ML, including distributed systems, data extraction, transformation, and loading, and large-scale data processing (e.g. PySpark, Beam, Ray, or similar). You're fluent in Python and experienced with ML frameworks and data formats (Parquet, TFRecord, HuggingFace datasets, etc.). You've developed data augmentation, sampling, or curation strategies that improved model performance. You think like both an engineer and an experimentalist: curious, analytical, and grounded in evidence. You collaborate well across AI development, infra, and product, and enjoy building the data systems that make great models possible. You care deeply about data quality, reproducibility, and scalability. You're excited to help shape the future of AI for physical design. Bonus points if: You are comfortable working with a variety of complex data formats, e.g. for 3D geometry kernels or rendering engines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've worked in 3D printing, CAD, or computer graphics domains. Why Backflip This is a rare opportunity to own the data backbone of a frontier foundation model, and help define how AI learns to design the physical world. You'll join a world-class, mission-driven team operating at the intersection of research, engineering, and deep product sense, building systems that let people design the physical world as easily as they imagine it. Your work will directly shape the performance, capability, and impact of Backflip's foundation model, the core of how the world will build in the future. Let's build the tools the future will be made in. #J-18808-Ljbffr

A pioneering audio tech company based in San Francisco is searching for a Founding Machine Learning Infrastructure Engineer. In this role, you will build and scale the core infrastructure that powers cutting-edge audio ML products. You will lead the development of systems for training and deploying models. Candidates should have over 5 years of backend experience with strong skills in cloud infrastructure and machine learning principles. The company offers benefits like unlimited PTO and comprehensive health coverage. #J-18808-Ljbffr

About us At Eon, we are at the forefront of large-scale neuroscientific data collection. Our mission is to enable the safe and scalable development of brain emulation technology to empower humanity over the next decade, beginning with the creation of a fully emulated digital twin of a mouse. Role We're a San Francisco team collecting very large microscopy datasets and we need an expert to design and implement our end-to-end data pipeline, from high-rate ingest to multi-petabyte storage and downstream processing. You'll own the strategy (on-prem vs. S3 or hybrid), the bill of materials, and the deployment, and you'll be on the floor wiring, racking, tuning, and validating performance. Our current instruments generate data at ~1+ GB/s sustained (higher during bursts) and the program will accumulate multiple petabyes total over time. You'll help us choose and implement the right architecture considering reliability and cost controls. Outcomes (what success looks like) Within 2 weeks: Implement an immediate data-handling strategy that reliably ingests our initial data streams. Within 2 weeks: Deliver a documented medium-term data architecture covering storage, networking, ingest, and durability. Within 1 month: Operationalize the medium-term pipeline in production (ingest → buffer → long-term store → compute access). Ongoing: Maintain ≥95% uptime for the end-to-end data-handling pipeline after setup. Responsibilities Architect ingest & storage: Choose and implement an on-prem hardware and data pipeline design or a cloud/S3 alternative with explicit cost and performance tradeoffs at multi-petabyte scale. Set up a sustained-write ingest path ≥1 GB/s with adequate burst headroom (camera/frame-to-disk), including networking considerations, cooling, and throttling safeguards. Optimize footprint & cost: Incorporate on-the-fly compression/downsampling options and quantify CPU budget vs. write-speed tradeoffs; document when/where to compress to control $/PB. Integrate with acquisition workflows ensuring image data and metadata are compatible with downstream stitching/flat-field correction pipelines. Enable downstream compute: Expose the data to segmentation/analysis stacks (local GPU nodes or cloud). Skills 5+ years designing and deploying high-throughput storage or HPC pipelines (≥1 GB/s sustained ingest) in production. Deep hands-on with: NVMe RAID/striping, ZFS/MDRAID/erasure coding, PCIe topology, NUMA pinning, Linux performance tuning, and NIC offload features. Proven delivery of multi-GB/s ingest systems and petabyte-scale storage in production (life-sciences, vision, HPC, or media). Experience building tiered storage systems (NVMe → HDD/object) and validating real-world throughput under sustained load. Practical S3/object-storage know-how (AWS S3 and/or on-prem S3-compatible systems) with lifecycle, versioning, and cost controls. Data integrity & reliability: snapshots, scrubs, replication, erasure coding, and backup/DR for PB-scale systems. Networking: ****25/40/100 GbE (SFP+/SFP28), RDMA/ RoCE/iWARP familiarity; switch config and path tuning. Ability to spec and rack hardware: selecting chassis/backplanes, RAID/HBA cards, NICs, and cooling strategies to prevent NVMe throttling under sustained writes. Ideal skills: Experience with microscopy or scientific imaging ingest at frame-to-disk speeds, including Micro-Manager-based pipelines and raw-to-containerized format conversions. Experience with life science imaging data a plus. Engagement details Contract (1099 or corp-to-corp); contract-to-hire if there's a mutual fit. On-site requirement: You must be physically present in San Francisco during build-out and initial operations; local field work (e.g., UCSF) as needed. Compensation: Contract, $100-300/hour Timeline: Immediate start #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a Machine Learning Engineer to ensure the quality and coverage of data across diverse languages. You will design large-scale datasets, evaluate models, and implement quality control systems. The ideal candidate has expertise in multilingual datasets and a strong background in applied ML. This full-time role offers competitive benefits, including fully covered insurance and in-office perks, in a supportive team environment. #J-18808-Ljbffr

A leading security technology firm in California is seeking a skilled Data Science Engineer. You will harness the power of unsupervised machine learning to detect fraudulent activities across various sectors. Ideal candidates have experience with Java/C++, data structures, and machine learning. The company offers competitive pay, flexible schedules, equity participation, health benefits, a collaborative environment, and unique perks such as catered lunches and game nights. #J-18808-Ljbffr

A leading AI technology company based in Palo Alto, CA is seeking a Machine Learning Data Engineer. You will build and optimize the data infrastructure for our machine learning systems while collaborating with ML engineers and infrastructure teams. The ideal candidate has a strong engineering background in Python, experience in production data pipelines, and a deep understanding of distributed systems. This role offers comprehensive benefits, a collaborative environment, and opportunities for innovative contributions. #J-18808-Ljbffr

A data consulting firm based in San Francisco is seeking a Palantir Foundry Consultant for a contract position. The ideal candidate should have strong experience in Palantir Foundry, SQL, and PySpark, with proven skills in data pipeline development and ETL automation. Responsibilities include building data pipelines, implementing interactive dashboards, and leveraging data analysis for actionable insights. This on-site role offers an excellent opportunity for those experienced in the field. #J-18808-Ljbffr

A growing technology firm based in San Francisco is seeking a Demand Generation Marketer to drive campaigns that turn prospects into lifelong customers. This role emphasizes creativity in marketing, collaboration with teams, and a strong data-driven mindset. The ideal candidate will have experience in B2B SaaS environments and a passion for engaging technical audiences. Flexible work environment and competitive compensation offered. #J-18808-Ljbffr

Luxoft is looking for a Senior Data Engineer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups. Responsibilities: • Work with complex data structures and provide innovative ways to a solution for complex data delivery requirements • Evaluate new and alternative data sources and new integration techniques • Contribute to data models and designs for the data warehouse • Establish standards for documentation and ensure your team adheres to those standards • Influence and develop a thorough understanding of standards and best practices used by your team Mandatory Skills Description: • Seasoned data engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. • Extensive Python API design experience, preferably Fast API • Strong SQL knowledge Nice-to-Have Skills Description: - Pyspark - Databricks - ETL design

Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work at their company in Novato, CA. Client's Data Science is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Client. With a quality-by-design culture, Data Science builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The Data Science team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across Client. The Data Management Science (DMS) group contributes to Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub-function is responsible for the implementation of a comprehensive, cross-functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical-to-quality factors, design fit-for-purpose quality strategies, and enable ongoing oversight through centralized monitoring and data-driven risk management. The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies. Primary Responsibilities/Accountabilities: The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the study's complexity and the study's development stage: Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies. Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets. Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review. Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient. Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes. Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics. Qualifications: PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: PhD: 3+ years MS: 5+ years BA/BS: 8+ years Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets). Hands-on experience working with clinical trial data.•Proficiency with Microsoft Word, Excel, and PowerPoint. Technical - Preferred / Strong Plus Experience with RAVE EDC. Awareness or working knowledge of CDISC, CDASH, SDTM standards. Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms. Preferred: Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring. Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs. Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams. Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment.

Data Architect / Data Modeling Lead - Responsibilities Lead the data modernization roadmap and architect solutions aligned with business and technology goals. Design and implement modern data engineering solutions within complex technology landscapes. Develop conceptual, logical, and physical data models across transactional, analytical, operational, and reporting domains, with a strong focus on analytics and reporting. Define, document, and maintain data definitions, metadata, data dictionaries, lineage, and data standards. Perform data analysis and profiling to identify data sources, relationships, quality issues, and gaps. Collaborate with data analysts, engineers, scientists, and business stakeholders to translate business needs into data requirements. Establish and enforce data modeling standards, best practices, and methodologies across the organization. Guide citizen developers on data platform standards and best practices for building data products. Promote reuse of integrated and semantic data objects, minimizing business logic in reports and user -created assets. Drive organization -wide best practices for managing “data as a product.” Partner with application teams to ensure modernized transactional databases follow best practices (e.g., primary keys, core attributes) for seamless integration into the data platform. Introduce and align data governance principles with enterprise data management policies. Assess and manage data warehouse impacts resulting from transactional system modernization. Define and execute plans to migrate legacy data warehouse assets to the modern data platform, including downstream dependencies. Monitor, troubleshoot, and optimize data model performance. Stay current with emerging trends and technologies in data modeling and data management.

The Sr. Staff Software Engineer (Embedded) has the opportunity to lead and develop a variety of innovative unmanned and robotic systems for multiple defense and commercial applications. The Embedded Software Engineer writes functional software for deployment on embedded devices and systems like aircraft and payloads and have the opportunity to test out those devices in flight test environments. This requires the engineer to design, develop, code, test and debug system software as well as analyze and enhance efficiency, stability and scalability of the software on particular devices. There is a mix of full life-cycle development as well as a need to use existing software code base to expand the capabilities to match specific program requirements. Position Responsibilities Writes and tests software to support integration of sensors and embedded processors into aircraft (such as autopilots, payloads, software defined radios or other functional components) or other robotic systems Designs and implements software for prototypes and products using established AeroVironment and industry developed tools and practices. Ensure good configuration control and management of software Leads in writing of system requirements, system test plans, diagnostic tools, and in validation testing of software. Assist with hardware selection and recommend processing, memory and storage needs of systems Leads development of rapid prototyping and conceptual level testing and will require estimating time to develop software and scoping the depth of the development with project/program management to fit timeline and budget constraints Works closely with other engineering disciplines. Focused on getting the job done Leads and supports transition of development software to production environments and to certification. Participates in multi-disciplinary development teams Develops proof of concept capability demonstrations. Conducts and supports design reviews Contributes to AV's software development process in developing quality code Works on significant and unique issues where analysis of situations or data requires evaluation of intangibles Other duties as assigned Basic Qualifications (Required Skills & Experience) A BS degree in Computer Science/Engineering, Electrical Engineering, Aerospace, Mechanical Engineering or related field is required or equivalent combination of education, training, and experience Minimum 12 - 15 years of experience years of relevant experience Experienced trouble-shooting systems is required and is proficient with Python, C, C++11,C++ STL and/or OpenCL Demonstrated knowledge of Visual Studio, Eclipse or similar IDE as well as defect tracking tools Experienced working with common protocols such as RS-485, RS-232, CAN, I2C, SPI, USB Demonstrated mathematical and analytical skills are required Periodic travel will likely be required in support of testing equipment at approved flying locations Periods of development may require long irregular hours around deadlines, weekends and some holidays and in field test environments Other Qualifications & Desired Competencies Advanced degree is preferred Demonstrates competency in contributing to the design, coding, documenting and testing software Experience with Test Driven Development (TDD) along with unit testing software Understanding of automated build environments along with automated test and deployment Demonstrated knowledge of object-oriented programming and multi-threaded design such as JIRA and source code control tools such as SVN, Bitbucket or GitLab Experience with STM32 family of processors and working with RTOS systems (such as µC/OS, free RTOS) on those processors Experience using Video 4 Linux and modifying and compiling Embedded Linux systems Experience developing drivers for Linux/ARM is required, familiarity with Robot Operating System (ROS) is a plus Demonstrates electronics knowledge and use of lab equipment Demonstrates strong leadership, interpersonal and communication (written and verbal) skills Understanding of the design of the system that one is working on and understand the role that assigned tasks play in the system Demonstrates competency in researching and re-engineering to propose alternate solutions to issues Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties Displays strong initiative and drive to accomplish goals and meet company objectives Takes ownership and responsibility for current and past work products Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company Has effective problem-solving, analytical, interpersonal and communication skills Focuses on teamwork, collaboration and puts the success of the team above one's own interests Physical Demands Ability to work in an office and R&D environment (Constant) Required to stand and sit for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Clearance Level No Clearance The salary range for this role is: $136,807 - $194,040 AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.

At Speechify, our mission is to ensure reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products-including apps on iOS, Android, mac OS, Chrome, and web-to listen to PDFs, books, docs, and web content faster, smarter, and more joyfully than ever before. Our product has earned recognition from Google ( Chrome Extension of the Year ) and Apple ( App of the Day and 2025 Inclusivity Design Award) for its impact and accessibility. We're a fully remote, distributed team of engineers, designers, researchers, and product builders from world-class companies like Amazon, Microsoft, Google, Stripe, and more. We move fast, ship often, and love solving real user problems. Role Overview As a Software Engineer on the mac OS team, you'll help build and scale Speechify's core desktop experience for millions of users. You'll own significant parts of our mac OS app architecture, ship production-ready code, and collaborate closely with product, design, and engineering teams across the company. This is a key role for someone who thrives in a fast-paced startup environment, enjoys making high-impact product decisions, loves delightful user experiences, and has a passion for accessibility and performance. What You'll Do Lead key engineering and product decisions for the mac OS app. Write, test, and ship production-quality code that scales to millions of users. Maintain and evolve complex app architecture with a focus on performance and stability. Work within a cross-functional team, partnering with designers and PMs to shape features from concept to launch. Participate in product planning and roadmap discussions. Drive continuous improvement in code quality, CI/CD processes, and development workflows. You should have: Demonstrated experience shipping mac OS (or related desktop) applications used by many customers. Strong engineering instincts with a deep focus on user experience. A strategic mindset for building great products-not just writing code. Ability to work quickly, decide what to build now vs. later, and iterate fast. Experience working in remote, distributed teams. Technical requirements: Swift / SwiftUI (mac OS) proficiency. Solid understanding of AppKit, mac OS frameworks, and desktop-specific UI paradigms. Strong understanding of concurrency and asynchronous execution models Familiarity with Bitrise, CI/CD workflows (e.g., Xcode Cloud, GitHub Actions). Strong understanding of concurrency and asynchronous execution models What We offer: Impact & Ownership: Build and influence a product used by millions globally. Remote First: Flexible, asynchronous work culture. Growth & Leadership: Flat org - leadership is earned by impact, not title. Collaborative Environment: Work with smart, passionate engineers and designers. Competitive Compensation: Market-aligned salary, bonus, and equity. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Why Join Speechify? At Speechify, we ship fast, build for real users, and care deeply about quality and accessibility. You'll work on products that change lives, and your contributions will shape both the product and the company. If this sounds like your kind of challenge, we'd love to hear from you. Apply with your resume and links to your portfolio or GitHub! Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Leidos, a global technology leader, is seeking a Combat Coder for our Sentinel program, supporting the United States Air Force in geographically distributed intelligence operations. Combat Coders directly support mission objectives by integrating data sources and interfaces quickly while being embedded with the user base. As a Combat Coder you will engage directly with our customers to build and modify all aspects of full-stack applications. Your contributions will move directly to production systems and get immediate feedback. You will be working with a small elite team of developers that focus on getting things done to support the mission. Join Leidos in our mission to enhance global security and efficiency through technology and innovation. Be part of a team that champions Integrity, Inclusion, Innovation, Agility, Collaboration, and Commitment. If you're ready to drive critical software deliveries, apply now to join Leidos as a Combat Coder for the Sentinel program! About the Role: We're seeking a Combat Coder - a highly skilled, adaptable full stack developer who thrives in challenging, disconnected, and resource constrained environments. You'll be building and integrating mission critical systems using Python, Apache NiFi, and other modern tools, often without the luxury of constant connectivity. This is not a "sit behind a desk and push commits" role - it's for someone who loves solving hard problems in the field, under pressure, and with creativity. Why You'll Love This Role: * You'll work on high impact projects where your code directly supports critical missions. * You'll be part of a tight knit, elite engineering team that values skill, creativity, and adaptability. * You'll face real technical challenges that push your abilities far beyond the ordinary Primary Responsibilities: * Integrate systems and data flows using Python, NiFi, and other integration frameworks. * Engineer resilient solutions that can operate in austere, bandwidth limited, or air gapped conditions. * Collaborate with cross functional teams to rapidly prototype and deliver mission critical capabilities. * Troubleshoot and optimize code and workflows in real time, often with incomplete information. * Document and harden solutions for long term maintainability in the field. Basic Qualifications: * Bachelors Degree with 12+ years of experience or a Masters Degree with 10+ years of experience. Additional experience maybe considered in lieu of a degree. * US Citizen with at least an active TS/SCI clearance and the ability to maintain your clearance during your employment with Leidos. * Proven full stack development experience. * Strong Python skills and experience with Apache NiFi or similar dataflow/integration tools. * Comfort working in disconnected or degraded network environments - you know how to make things work without cloud dependencies. * Solid understanding of APIs, data pipelines, and system integration patterns. * Creative problem solver who thrives on tackling complex, ambiguous challenges. * Self starter who can operate independently and deliver under tight deadlines. * Strong interpersonal and communication skills. * Understanding of source control such as Gitlab and others Preferred Qualifications: * Experience using JEMA and ARC GIS * Experience with DevOps in air gapped environments. * Background in secure coding practices and cyber resilient architectures. * Prior work in mission critical, defense, or field operations. At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now." If you're already scheming step 20 while everyone else is still debating step 2… good. You'll fit right in. Original Posting: January 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

EROS Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want it. By leveraging for its clients its technological edge and right-sourcing advantage, EROS in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Job Description Location: Colusa, CA Duration: FTE Keywords: HL7, DICOM, HL7 Integration, Medical device experience Mandatory Skills: Medical Device + HL7 standards knowledge, Microsoft Technologies ( C++,C#, .Net ), DICOM knowledge Desired Skills: Cloud computing background Responsibilities: New software development using HL7 standards & DICOM ( EMR Medical) Choose appropriate software architecture to integrate medical device with HL7 system Strong Programming skill in C#,C++ Hospital Information System data experience. Software development life cycle knowledge and experience. Desire to have cloud computing or web background Regards, Ishwar Sr. Resource Professional Contact: +1- ************ EROS Technologies Inc. 16192 Coastal Highway Lewes, DE- 19958 Additional Information All your information will be kept confidential according to EEO guidelines.