senior cloud data engineer.

job summary: As a Senior Software Engineer, you will design, implement and maintain microservices oriented backend, APIs and customer facing User Interfaces for the Reporting system. You are passionate about code quality, Test Driven Development and have an opinion on the right way to build software. You will be part of the team that is responsible for providing our customers with reporting infrastructure to see how their advertising campaigns are performing.  location: San Francisco, California job type: Permanent salary: $155,000 - 180,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Define, code, test, and deploy new features to our cloud-hosted ad management services with an emphasis on API standards, extensibility, robustness and performanceWork cross-functionally with Product and other Engineering teams to contribute to the product definition and system designContinually evaluate and instill best practices into the development process, including automated testing, code organization and style, and application architectureWork with Product Managers to develop product intuition and actively contribute to the roadmapParticipate in a team-wide on-call rotation to keep the systems ticking along   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: JavaPythonSQLAWS For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance. We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

job summary: As an AI Engineer for the client, I'm a key contributor to the architecture and implementation of the cleints's data engine. As the lead data engineer for the clients team, I'm responsible for designing large-scale data ingestion, processing, storage, analytics, and orchestration flows. I work closely with Product Managers, Full Stack Engineers, Data Scientists, and fellow Big Data Engineers to conceive and build large-scale data storage and integration solutions for new products. I'm passionate about what I do and excited to do it in the context of an entrepreneurial start-­up with a phenomenal team.   location: San Francisco, California job type: Permanent salary: $150,000 - 175,000 per year work hours: 8am to 5pm education: Masters   responsibilities: You are a data language polyglot. You have proficient programming experience in SQL, Python, and GraphQL. You can quickly pick up domain-specific languages for the project.You can demonstrate strong knowledge of data structures and algorithms in a code challenge. Points for efficiency and extra points for style!You have implemented machine learning and AI models in one or more products.You are a software engineer with solid knowledge of relational database management concepts. Experience working with data warehouses like Snowflake are a plus.You have in-depth, real world experience with one or more distributed, non-relational database types.You can demonstrate your system design skills in addition to your communication and collaboration strengths in our system design interview.You can quickly evaluate and recommend commercial database solutions or alternatively develop the a lightweight data service yourself, if necessaryYou are experienced in analytics data processing and machine learning pipeline development. Experience with Data Bricks is a plus.Flexible mindset and the ability to prototype and change direction rapidly as research evolvesMaster's degree in Computer Science or similar fieldAt least 5 years in software development, with multiple examples of delivering innovative product ideas.strong problem solving, analytical and troubleshooting skillsAn excellent communicator with a knack for concisely explaining problems and solutions to multiple stakeholders, e.g. product managers, senior management, etc.A strong drive to continue learning and developingDemonstrated ability to produce results as part of a highly distributed team that crosses cultural and country boundariesPassion for cloud computing (AWS in particular) and distributed systems.You must be a great problem solver with the ability to dive deeply into complex problems and emerge with clear and pragmatic solutions.Good communication, and cooperation globally.Major in Math or Computer Science.Energy and creativity are key characteristics that describe you and the projects you are involved in. You make it happen. Boom!   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Masters  skills: AISQLPythonGraphQLSnowflakeData Bricksmachine learningData Analysis For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance. We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

job summary: Own, drive, and coordinate testing on a Scrum team (Agile) or across testing phases (Waterfall) including System, Functional, Acceptance and End-to-End testing. Responsible for manual and automated testing of multiple decision support applications and systems.Responsible for designing automated tests to validate custom software products and services.Must have python experienceWorking with data processing and ETL development   location: San Francisco, California job type: Contract salary: $62 - 65 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Responsibilities: Test optimal data pipeline components primarily in Python and other languages as needed Use AWS services for testing such as including Redshift, Glue, Kinesis, Kafka (MSK) and EMR/Spark, where appropriateBuild abstractions that hide the complexity of the underlying big data processing and execution stack and that allow data consumers/partners to focus on their strengths: product, data modeling, data analysis, search, information retrieval, and machine learning.Leverage internal services and tools to help test in-house partners implement, deploy and analyze datasets with a high level of autonomy and limited friction.Support Cloud Engineers with testing efforts who deploy and manage data pipelines (monitoring, retry, failure detection) Qualifications: MUST HAVE Minimum of 5 years of overall experience in ETL/ELT testing with at least 3 years of dedicated experience testing using Python in Data Warehouse environments, preferably in AWSAdvanced knowledge of Python with a focus on data using packages like pandas, numpy, boto, s3fs, flask, fastapi, pyarrow, pyspark etc.strong SQL programming skills and experience working with relational databases, as well as working familiarity with a variety of databases (Postgres/Redshift/MySQL).Familiarity with AWS data services including Redshift, Glue, Kinesis, Kafka (MSK) and EMR/Spark, etc.Experience testing 'big data' data pipelines, architectures and data sets.strong analytic skills related to working with unstructured data. A successful history of manipulating, processing and extracting value from large, disconnected datasets.   qualifications: Experience level: ExperiencedMinimum 7 years of experienceEducation: Bachelors  skills: Automated QA TestingManual QA TestingPython (2 years of experience is required) For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance. We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.