Whisker, is the maker of Litter-Robot, Feeder-Robot, and Litterbox.com. At Whisker, we believe pet parenthood can always get better. As leading innovators in pet tech and refined pet accessories, we work tirelessly to solve problems and deliver smarter insights for pet parents while enriching the lives of pets. Whether it's a self-cleaning litter box that automates scooping, an automatic feeder that helps pets develop healthier eating habits, or a modern cat tree that delights both humans and felines, we strive to deliver better solutions for consumers while transforming pet care along the way. To us, having a pet is the best thing ever. At Whisker, life together just keeps getting better. Whisker is based in Auburn Hills, Michigan and Juneau, Wisconsin with 500+ passionate team members. What You'll Do: The Data Engineerwill be responsible for ongoing AWS IoT development, integrations with third-party IoT products, designing, building, and maintaining data pipelines, co-management of our agency partner, system debugging and more. The Data Engineer will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure high-quality data delivery and availability. Essential Duties and Responsibilities: This list of duties and responsibilities is not all-inclusive and may be expanded to include other duties and responsibilities as deemed necessary. <ul><li>Collaborates with stakeholders to define project requirements and objectives.</li><li>Architects scalable, efficient, and high-performance systems.</li><li>Designs, develops, and maintains scalable, efficient ETL/ELT data pipelines.</li><li>Provides technical guidance and makes decisions regarding technical aspects of projects.</li><li>Maintains and expands AWS IoT environment.</li><li>Develops new features or bug fixes for backend solutions.</li><li>Develops new IoT integrations for connected hardware products.</li><li>Works with the design team on implementing new application designs.</li><li>Performs unit and functional testing to ensure the quality of the work.</li><li>Works with the support team to identify and resolve issues.</li><li>Experiments and creates proof of concept prototypes for new features.</li><li>Assists with the development of new features or bug fixes for mobile apps.</li><li>Leads and mentors Junior Data Engineers.</li><li>Will perform additional responsibilities when required.</li></ul> Our Tech Stack: <ul><li>Cloud-native, serverless infrastructure on AWS</li><li>REST APIs with AWS API Gateway and GraphQL APIs and engines</li><li>DynamoDB and other serverless databases</li><li>Modern TypeScript and Python codebases</li></ul> High-Level 2-Year Scope of Product Development: <ul><li>Focus: Continued development of our IoT pet backend platform</li><li>Database: Design new and maintain legacy systems</li><li>Transaction Management: Create highly reliable high speed data systems</li><li>Will perform additional responsibilities when required </li></ul> Requirements What You'll Bring: <ul><li>BS in Computer Science, Computer Engineering, and/or equivalent years of experience</li><li>3+ years architecting backend systems in AWS</li><li>4+ years of backend development</li><li>4+ Experience with AWS systems: DynamoDB, Redshift, IAM, IoT Core, ECS, Kinesis, Lambda, API Gateway</li><li>Experience with data visualization and data pipelines</li><li>4+ years of experience with Python</li><li>4+ years of experience with containers</li><li>4+ years of experience with GraphQL or REST APIs</li><li>Proficient in SQL</li><li>Solid understanding of Data Modeling and Data Architecture Design</li><li>Hands on experience with cloud platforms for data processing and storage solutions.</li><li>Ability to take ideas from concept to prototype</li><li>Ability to write clean code with an emphasis on maintainability</li><li>Ability to work in cross-functional teams</li><li>Maintains confidentiality of proprietary information</li><li>Strong problem solving skills and ability to maintain a professional atmosphere in a fast-paced environment with numerous interactions and interruptions</li><li>Excellent communication and collaboration skills</li><li>A high degree of initiative, self-motivation, and ability to motivate others</li><li>Ability to establish and maintain cooperative working relationships with Team Members and colleagues</li><li>Comfortable with office pets (cats/dogs)</li></ul> Not Required but Nice to Have! <ul><li>Master's degree in Computer Science, Computer Engineering</li><li>Experience with Agile methodologies</li><li>Experience as a team leader</li><li>Familiarity with IoT systems / hardware integrations</li><li>Familiarity with JIRA, Confluence, or similar tools</li></ul> Benefits & Purrks: Join a tenacious, inventive company that empowers team members to chart their own path, lead by grounding decisions in the "why", and has a strong sense of empathy and openness to new perspectives. Be a part of exciting growth, work with incredible people, and create tomorrow's pet products-plus a whole lot of extras. You will also be provided with: <ul><li>Premium Medical/Dental/Vision insurance</li><li>Paid parental leave</li><li>Whisker Parents Program</li><li>1 day "pawternity" leave for new pet adoption</li><li>Pet Insurance Discount</li><li>401K match</li><li>Flexible spending accounts</li><li>Company-paid short-term disability and life insurance</li><li>Employee Assistance Program (EAP)</li><li>Generous paid time off</li><li>14 Paid Holidays</li><li>Top of the line equipment</li><li>Pet-friendly office</li><li>Whisker products and swag</li><li>Continuing education Support</li><li>On-site gym with Peloton</li><li>Referral program</li></ul> Statement of Inclusivity: We believe different perspectives make Whisker better and strive to create a place where everyone has equal opportunities to thrive. Please ensure to regularly check your email spam folder for any communication from Whisker to avoid missing important updates regarding your application status. #onsite1

Title: Data Engineer with MLOps Location: Hybrid - Auburn Hills Michigan 48326 Duration: Permanent contract (W2 Contract) Job Description: Data MLOps engineer resource will be member of Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails supporting data ingestion processes and problem solving in a variety of domains, including: business process optimization; and conducting research and analysis on new technologies and business methodologies. Responsibilities • Design & Develop Data Pipelines: o Orchestrate complex data pipelines using data integration tools like Informatica and Python, ensuring seamless data flow from various sources. o Leverage GCP Dataflow, Cloud Functions, and other cloud technologies to build scalable and resilient data ingestion and processing pipelines. o Implement robust CI/CD workflows using GitHub Actions and Argo CD to automate pipeline deployments and ensure consistency. o Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability. o Document best practices and quality standards to be adherence during development of data science solutions. o Conduct review and provide feedback on data science work applications. • Manage & Analyze Data: o Work with diverse data sources, including relational databases (Oracle, SQL Server, MySQL, Postgres, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake managed Iceberg), and streaming data (Kafka, GCP Dataflow/Proc). o Employ powerful compute engines like Hive, Impala, and Spark to analyze massive datasets and derive valuable insights. • Deliver Actionable Insights: o Collaborate with business stakeholders to understand their challenges and requirements. o Translate business problems into analytical frameworks and identify opportunities to address complex problems. o Build APIs and user-friendly interfaces to present data results and empower informed decision-making. • Drive Machine Learning Innovation: o Explore and implement Vertex AI models to generate quick insights and support business requirements. • Stay at the Forefront: o Continuously learn and adapt to emerging data technologies and best practices. o Contribute to the ongoing improvement of data infrastructure and processes.

Data MLOps engineer resource will be member of the Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails supporting data ingestion processes and problem solving in a variety of domains, including: business process optimization; and conducting research and analysis on new technologies and business methodologies. RESPONSIBILITIES Design and Develop Data Pipelines Orchestrate complex data pipelines using data integration tools like Informatica and Python, ensuring seamless data flow from various sources. Leverage Google Cloud Dataflow, Cloud Functions, and other cloud technologies to build scalable and resilient data ingestion and processing pipelines. Implement robust CI/CD workflows using GitHub Actions and Argo CD to automate pipeline deployments and ensure consistency. Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability. Document best practices and quality standards to be adherence during development of data science solutions. Conduct review and provide feedback on data science work applications. Manage and Analyze Data Work with diverse data sources, including relational databases (Oracle, SQL Server, MySQL, Postgres, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake managed Iceberg), and streaming data (Kafka, GCP Dataflow/Proc). Employ powerful compute engines like Hive, Impala, and Spark to analyze massive datasets and derive valuable insights. Deliver Actionable Insights Collaborate with business stakeholders to understand their challenges and requirements. Translate business problems into analytical frameworks and identify opportunities to address complex problems. Build APIs and user-friendly interfaces to present data results and empower informed decision-making. Drive Machine Learning Innovation Explore and implement Vertex AI models to generate quick insights and support business requirements. Stay at the Forefront Continuously learn and adapt to emerging data technologies and best practices. Contribute to the ongoing improvement of data infrastructure and processes. REQUIREMENTS Bachelors Degree in Computer Science or related field Python and Informatica Google Cloud Dataflow Extracting Data from various data sources - Relational Databases and Big Data Git and Argo CD

Title: Data Engineer with MLOps Location: Hybrid - Auburn Hills Michigan 48326Duration: Permanent contract (W2 Contract) Job Description:Data MLOps engineer resource will be member of Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails supporting data ingestion processes and problem solving in a variety of domains, including: business process optimization; and conducting research and analysis on new technologies and business methodologies. Responsibilities• Design & Develop Data Pipelines:o Orchestrate complex data pipelines using data integration tools like Informatica and Python, ensuring seamless data flow from various sources.o Leverage GCP Dataflow, Cloud Functions, and other cloud technologies to build scalable and resilient data ingestion and processing pipelines.o Implement robust CI/CD workflows using GitHub Actions and Argo CD to automate pipeline deployments and ensure consistency.o Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability.o Document best practices and quality standards to be adherence during development of data science solutions.o Conduct review and provide feedback on data science work applications. • Manage & Analyze Data:o Work with diverse data sources, including relational databases (Oracle, SQL Server, MySQL, Postgres, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake managed Iceberg), and streaming data (Kafka, GCP Dataflow/Proc).o Employ powerful compute engines like Hive, Impala, and Spark to analyze massive datasets and derive valuable insights. • Deliver Actionable Insights:o Collaborate with business stakeholders to understand their challenges and requirements.o Translate business problems into analytical frameworks and identify opportunities to address complex problems.o Build APIs and user-friendly interfaces to present data results and empower informed decision-making. • Drive Machine Learning Innovation:o Explore and implement Vertex AI models to generate quick insights and support business requirements. • Stay at the Forefront:o Continuously learn and adapt to emerging data technologies and best practices.o Contribute to the ongoing improvement of data infrastructure and processes.

We’re seeking an experienced Data Engineer to join our Enterprise Data and Advanced Analytics team. You will collaborate with cross-functional teams to drive data-informed solutions across various business domains, including process optimization, analytics, and technology research. Your work will be pivotal in designing, developing, and maintaining advanced data ingestion and analytics pipelines, utilizing cutting-edge cloud technologies, machine learning models, and scalable processes. Key Responsibilities: 1. Design & Develop Data Pipelines <ul> <li>Orchestrate complex data pipelines with tools like Informatica and Python, ensuring efficient data flow from diverse sources. </li><li>Leverage Google Cloud Platform (GCP) services (e.g., Dataflow, Cloud Functions) to build scalable and resilient data ingestion and processing solutions. </li><li>Implement CI/CD workflows using GitHub Actions and Argo CD, enhancing automation and deployment consistency. </li><li>Monitor production pipelines, optimizing and tuning models for accuracy, performance, and scalability. </li><li>Document best practices and establish quality standards for data science solutions. </li><li>Review and provide constructive feedback on data science applications. </li></ul> 2. Manage & Analyze Data <ul> <li>Integrate and manage various data sources, including relational databases (Oracle, SQL Server, MySQL, PostgreSQL, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake with Iceberg), and streaming data (Kafka, GCP Dataflow/Proc). </li><li>Employ compute engines such as Hive, Impala, and Spark to analyze large datasets and generate valuable insights. </li></ul> 3. Deliver Actionable Insights <ul> <li>Partner with business stakeholders to understand challenges and translate them into analytical frameworks. </li><li>Develop APIs and interfaces for data insights, empowering stakeholders to make informed decisions. </li></ul> 4. Drive Machine Learning Innovation <ul> <li>Explore and implement Vertex AI models to support quick insights and meet evolving business requirements. </li></ul> 5. Stay at the Forefront <ul> <li>Stay updated on the latest data technologies and best practices. </li><li>Contribute to continuous improvement of the data infrastructure and analytics processes. </li></ul> Qualifications: <ul> <li>Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. </li><li>5+ years of experience in data engineering, with expertise in data pipeline design and management. </li><li>Proficiency with data integration tools (e.g., Informatica), cloud-based data processing (preferably GCP), and orchestration tools. </li><li>Strong knowledge of relational and big data platforms, as well as streaming data tools. </li><li>Experience with CI/CD practices and tools like GitHub Actions and Argo CD. </li><li>Familiarity with machine learning, Vertex AI, and advanced analytics techniques. </li><li>Excellent communication skills, with a proven ability to collaborate across departments. </li></ul> Pay Details: $65.00 to $70.00 per ho ur Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicab le. Equal Opportunity Employer/Veterans/Disa bled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-p olicy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as appli <ul> <li>cable:The California Fair Chan </li><li>ce ActLos Angeles City Fair Chance Ord </li><li>inanceLos Angeles County Fair Chance Ordinance for Emp </li><li>loyersSan Francisco Fair Chance Ord </li> </ul> inance

Data MLOps engineer resource will be member of the Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails supporting data ingestion processes and problem solving in a variety of domains, including: business process optimization; and conducting research and analysis on new technologies and business methodologies. RESPONSIBILITIES<ul><li>Design and Develop Data Pipelines<li>Orchestrate complex data pipelines using data integration tools like Informatica and Python, ensuring seamless data flow from various sources.<li>Leverage Google Cloud Dataflow, Cloud Functions, and other cloud technologies to build scalable and resilient data ingestion and processing pipelines.<li>Implement robust CI/CD workflows using GitHub Actions and Argo CD to automate pipeline deployments and ensure consistency.<li>Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability.<li>Document best practices and quality standards to be adherence during development of data science solutions.<li>Conduct review and provide feedback on data science work applications.<li>Manage and Analyze Data<li>Work with diverse data sources, including relational databases (Oracle, SQL Server, MySQL, Postgres, Snowflake), big data platforms (Hadoop, Parquet files, BigQuery, Big Lake managed Iceberg), and streaming data (Kafka, GCP Dataflow/Proc).<li>Employ powerful compute engines like Hive, Impala, and Spark to analyze massive datasets and derive valuable insights.<li>Deliver Actionable Insights<li>Collaborate with business stakeholders to understand their challenges and requirements.<li>Translate business problems into analytical frameworks and identify opportunities to address complex problems.<li>Build APIs and user-friendly interfaces to present data results and empower informed decision-making.<li>Drive Machine Learning Innovation<li>Explore and implement Vertex AI models to generate quick insights and support business requirements.<li>Stay at the Forefront<li>Continuously learn and adapt to emerging data technologies and best practices.<li>Contribute to the ongoing improvement of data infrastructure and processes.</ul> REQUIREMENTS<ul><li>Bachelors Degree in Computer Science or related field<li>Python and Informatica<li>Google Cloud Dataflow<li>Extracting Data from various data sources - Relational Databases and Big Data<li>Git and Argo CD</ul>

Whisker, is the maker of Litter-Robot, Feeder-Robot, and Litterbox.com. At Whisker, we believe pet parenthood can always get better. As leading innovators in pet tech and refined pet accessories, we work tirelessly to solve problems and deliver smarter insights for pet parents while enriching the lives of pets. Whether it's a self-cleaning litter box that automates scooping, an automatic feeder that helps pets develop healthier eating habits, or a modern cat tree that delights both humans and felines, we strive to deliver better solutions for consumers while transforming pet care along the way. To us, having a pet is the best thing ever. At Whisker, life together just keeps getting better. Whisker is based in Auburn Hills, Michigan and Juneau, Wisconsin with 500+ passionate team members. What You'll Do: The Data Engineerwill be responsible for ongoing AWS IoT development, integrations with third-party IoT products, designing, building, and maintaining data pipelines, co-management of our agency partner, system debugging and more. The Data Engineer will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure high-quality data delivery and availability. Essential Duties and Responsibilities: This list of duties and responsibilities is not all-inclusive and may be expanded to include other duties and responsibilities as deemed necessary. <ul><li>Collaborates with stakeholders to define project requirements and objectives. </li><li>Architects scalable, efficient, and high-performance systems. </li><li>Designs, develops, and maintains scalable, efficient ETL/ELT data pipelines. </li><li>Provides technical guidance and makes decisions regarding technical aspects of projects. </li><li>Maintains and expands AWS IoT environment. </li><li>Develops new features or bug fixes for backend solutions. </li><li>Develops new IoT integrations for connected hardware products. </li><li>Works with the design team on implementing new application designs. </li><li>Performs unit and functional testing to ensure the quality of the work. </li><li>Works with the support team to identify and resolve issues. </li><li>Experiments and creates proof of concept prototypes for new features. </li><li>Assists with the development of new features or bug fixes for mobile apps. </li><li>Leads and mentors Junior Data Engineers. </li><li>Will perform additional responsibilities when required. </li></ul>Our Tech Stack: <ul> <li>Cloud-native, serverless infrastructure on AWS </li><li>REST APIs with AWS API Gateway and GraphQL APIs and engines </li><li>DynamoDB and other serverless databases </li><li>Modern TypeScript and Python codebases </li></ul>High-Level 2-Year Scope of Product Development: <ul> <li>Focus: Continued development of our IoT pet backend platform </li><li>Database: Design new and maintain legacy systems </li><li>Transaction Management: Create highly reliable high speed data systems </li><li>Will perform additional responsibilities when required </li> </ul>Requirements What You'll Bring: <ul> <li>BS in Computer Science, Computer Engineering, and/or equivalent years of experience </li><li>3+ years architecting backend systems in AWS </li><li>4+ years of backend development </li><li>4+ Experience with AWS systems: DynamoDB, Redshift, IAM, IoT Core, ECS, Kinesis, Lambda, API Gateway </li><li>Experience with data visualization and data pipelines </li><li>4+ years of experience with Python </li><li>4+ years of experience with containers </li><li>4+ years of experience with GraphQL or REST APIs </li><li>Proficient in SQL </li><li>Solid understanding of Data Modeling and Data Architecture Design </li><li>Hands on experience with cloud platforms for data processing and storage solutions. </li><li>Ability to take ideas from concept to prototype </li><li>Ability to write clean code with an emphasis on maintainability </li><li>Ability to work in cross-functional teams </li><li>Maintains confidentiality of proprietary information </li><li>Strong problem solving skills and ability to maintain a professional atmosphere in a fast-paced environment with numerous interactions and interruptions </li><li>Excellent communication and collaboration skills </li><li>A high degree of initiative, self-motivation, and ability to motivate others </li><li>Ability to establish and maintain cooperative working relationships with Team Members and colleagues </li><li>Comfortable with office pets (cats/dogs) </li></ul>Not Required but Nice to Have! <ul><li>Master's degree in Computer Science, Computer Engineering </li><li>Experience with Agile methodologies </li><li>Experience as a team leader </li><li>Familiarity with IoT systems / hardware integrations </li><li>Familiarity with JIRA, Confluence, or similar tools </li></ul>Benefits & Purrks: Join a tenacious, inventive company that empowers team members to chart their own path, lead by grounding decisions in the "why", and has a strong sense of empathy and openness to new perspectives. Be a part of exciting growth, work with incredible people, and create tomorrow's pet products-plus a whole lot of extras. You will also be provided with: <ul> <li>Premium Medical/Dental/Vision insurance </li><li>Paid parental leave </li><li>Whisker Parents Program </li><li>1 day "pawternity" leave for new pet adoption </li><li>Pet Insurance Discount </li><li>401K match </li><li>Flexible spending accounts </li><li>Company-paid short-term disability and life insurance </li><li>Employee Assistance Program (EAP) </li><li>Generous paid time off </li><li>14 Paid Holidays </li><li>Top of the line equipment </li><li>Pet-friendly office </li><li>Whisker products and swag </li><li>Continuing education Support </li><li>On-site gym with Peloton </li><li>Referral program </li></ul> Statement of Inclusivity: We believe different perspectives make Whisker better and strive to create a place where everyone has equal opportunities to thrive. Please ensure to regularly check your email spam folder for any communication from Whisker to avoid missing important updates regarding your application status. #onsite1

Data Engineer Jobs in Auburn Hills, MI

Data Engineer
November 9, 2024

Data Engineer
November 7, 2024

Data Engineer With Mlops
November 7, 2024

Data Engineer Mlops
November 6, 2024

Data Engineer With Mlops
November 6, 2024

Data Engineer
November 6, 2024

Data Engineer Mlops 14184
November 5, 2024

Data Engineer
November 4, 2024

Data Engineer Mlops
November 3, 2024

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Data Engineer Jobs in Auburn Hills, MI

Data EngineerNovember 9, 2024

Data EngineerNovember 7, 2024

Data Engineer With MlopsNovember 7, 2024

Data Engineer MlopsNovember 6, 2024

Data Engineer With MlopsNovember 6, 2024

Data EngineerNovember 6, 2024

Data Engineer Mlops 14184November 5, 2024

Data EngineerNovember 4, 2024

Data Engineer MlopsNovember 3, 2024