Join The Team Thats Going Places.

Want to do your best work? Joining Infoviz Solutions means learning from top data experts, helping customers solve complex problems, and working with the newest tech—all on a daily basis.

If no two tech stacks are ever the same, no two software developers are the same, either. That’s why we’re committed to helping you build and learn through your work. From Snowflake administration to MLOps consulting, our teams work collaboratively to help our customers get more value from their data.

Current Openings

  • 01
    UX Designer
    San Francisco, CA
    10 + Years Full-Time

    We are looking for a skilled UX Designer who has a focus on end-user ease of use and functionality of the application. The UX designer will work with designers and trend analysts to develop applications that reach as many users as possible. To be successful as a UX designer you must have expert skills in back-end development as well as a good knowledge of new tools and trends in the industry.

    UX Designer Responsibilities:

    • Create user-friendly applications.
    • Work with designers and engineers to brainstorm application ideas.
    • Reflect on data to analyze trends.
    • Create test models to gauge user enjoyment.

    UX Designer Requirements:

    • A bachelor of science degree in computer science or engineering.
    • Proficiency with CSS, HTML, and JavaScript.
    • Proficiency with design software like UX Pin.
    • Excellent communication skills.
    • The ability to interpret analytics and implement changes to applications as needed.
    Apply Now
  • 02
    Data Scientist
    7+ Full-Time

    We are looking to hire a highly creative data scientist to address data analytics challenges in our organization, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested parties.

    To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. Top candidates will be persistent and have excellent analytical and problem-solving skills.

    Data Scientist Responsibilities:

    • Having meetings with team members regarding projects.
    • Collecting and interpreting data.
    • Automating and integrating processes.
    • Researching solutions to overcome data analytics challenges.
    • Developing complex mathematical models that integrate business rules and requirements.
    • Creating machine learning models.
    • Communicating and meeting with engineers, IT teams, and other interested parties.
    • Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.

    Data Scientist Requirements:

    • A MSc or PhD degree in applied mathematics or statistics.
    • 5+ years of industry experience.
    • Advanced coursework in machine learning and programming.
    • Experience using data visualization tools.
    • Experience with data querying languages, and statistical or mathematical software.
    • Proficient in writing algorithms, and knowing when to apply them.
    • Excellent understanding of statistics, multivariable calculus, and linear algebra.
    • Outstanding communication skills.
    Apply Now
  • 03
    DevOps Engineer
    San Francisco, CA
    8+ Full-Time

    We are searching for a decisive and insightful DevOps engineer to join our reputable company. The DevOps engineer will be involved in various stages of each product's lifespan and should remain abreast of technological advancements to promote efficiency. You should also keep track of customer reviews to enhance marketability.

    To ensure success as a DevOps engineer, you should ensure that all outputs remain safe for public consumption. Ultimately, a top-notch DevOps engineer will demonstrate excellent leadership skills and the capacity to mentor junior staff.

    DevOps Engineer Responsibilities:

    • Collaborating with coworkers to conceptualize, develop, and release software.
    • Conducting quality assurance to ensure that the software meets prescribed guidelines.
    • Rolling out fixes and upgrades to software, as needed.
    • Securing software to prevent security breaches and other vulnerabilities.
    • Collecting and reviewing customers' feedback to enhance user experience.
    • Suggesting alterations to workflow in order to improve efficiency and success.
    • Pitching ideas for projects based on gaps in the market and technological advancements.

    DevOps Engineer Requirements:

    • Degree in computer science, software engineering, or an adjacent field.
    • Prior experience at all phases of the software product life cycle, from conception to extinction.
    • Experience using an array of automation tools.
    • Familiarity with software security methods.
    • Demonstrated experience using a wide variety of coding languages.
    • Curious, discerning envelope pusher.
    • Top-notch decision-making and collaborative abilities.
    • Customer-oriented with the ability to receive and use constructive criticism.
    Apply Now
  • 04
    Data Engineer
    7+ Full-Time

    We are searching for an accountable, multitalented data engineer to facilitate the operations of our data scientists. The data engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

    To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

    Data Engineer Responsibilities:

    • Liaising with coworkers and clients to elucidate the requirements for each task.
    • Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
    • Reformulating existing frameworks to optimize their functioning.
    • Testing such structures to ensure that they are fit for use.
    • Preparing raw data for manipulation by data scientists.
    • Detecting and correcting errors in your work.
    • Ensuring that your work remains backed up and readily accessible to relevant coworkers.
    • Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

    Data Engineer Requirements:

    • Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
    • Master's degree in a relevant field is advantageous.
    • Proven experience as a data engineer, software developer, or similar.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independence and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Apply Now