Sunnydata

At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers and more importantly build ML and AI applications to power their business and drive outstanding business outcomes. As a Machine Learning Engineer you will lead complex data projects, develop predictive models, and deploy scalable machine learning solutions. You will work cross-functionally with engineering, product, and analytics teams to derive actionable insights and influence key business decisions.The Impact You Will Have<ul><li>Lead the design, development, and deployment of machine learning models.</li><li>Work with large, complex datasets to extract valuable insights and build predictive analytics pipelines.</li><li>Collaborate with data engineers to architect and optimize cloud-based data solutions.</li><li>Translate business challenges into data-driven solutions using statistical modeling and machine learning techniques.</li><li>Automate data workflows and model deployment processes using cloud services and CI/CD tools.</li><li>Mentor junior data scientists and contribute to best practices in model development and operationalization.</li><li>Communicate findings and strategic recommendations to stakeholders and executive leadership. </li></ul>What We Look For<ul><li>4+ years of experience in data science or machine learning roles.</li><li>Proficient in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.</li><li>Strong background in statistics, A/B testing, and machine learning algorithms.</li><li>Experience building and deploying models in production environments.</li><li>Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).</li><li>Excellent communication and leadership skills.</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience with big data tools (Spark, EMR).</li><li>Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.</li></ul>Education<ul><li>Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.</li></ul>Our Commitment to Diversity and Inclusion:SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.Why Join SunnyData?<ul><li>Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.</li><li>Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.</li><li>Career Growth: Opportunities for professional development and career advancement.</li><li>Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.</li></ul>If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Machine Learning Engineer

At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers and more importantly build ML and AI applications to power their business and drive outstanding business outcomes. As a Senior Data Engineer, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence / insights.The Impact You Will Have<ul><li>You will be part of a team responsible for supporting new and existing customers in their data engineering needs.</li><li>You will guide customers to make the best technical decisions to achieve their goals</li><li>You will actively work across multiple customer accounts which you would need to track and report on their progress.</li></ul><ul><li>You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality solutions.</li></ul><ul><li>You will analyze sources to determine value and recommend data to include in analytical processes.</li><li>You will incorporate core data management competencies including data governance, data security and data quality.</li><li>You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments.</li><li>You will perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.</li><li>You will test data movement, transformation code, and data components.</li></ul>What We Look For<ul><li>5+ years of related experience in data engineering and data product development.</li><li>Experience in one or more of the following:<ul><li>Data Engineering technologies (e.g., Spark, Hadoop, Kafka)</li><li>Databricks platform - data engineering and/or ML ops experience would be a huge bonus</li><li>Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)</li><li>Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)</li></ul></li><li>Solid understanding of the end to end data analytics workflow</li><li>Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on</li><li>Proven problem solving skills including debugging skills</li><li>Strong verbal and written communication skills</li><li>Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities</li><li>Excellent time management and prioritization skills Knowledge of public cloud platforms AWS, Azure or GCP would be a plus</li><li>Nice to have: Databricks Certification</li></ul>Education<ul><li>Bachelor’s Degree in STEM related field or equivalent</li></ul>Benefits<ul><li>Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.</li><li>Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.</li><li>An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.</li></ul>Compensation OverviewThe annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Our Commitment to Diversity and Inclusion:SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.Why Join SunnyData?<ul><li>Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.</li><li>Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.</li><li>Career Growth: Opportunities for professional development and career advancement.</li><li>Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.</li></ul>If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Senior Data Engineer 

Are you ready to jump start your career in the exciting and innovative data engineering field?At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Data Engineer, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights. The Impact You Will Have<ul><li>Be part of a team responsible for supporting new and existing customers in their data engineering needs.</li><li>Guide customers to make the best technical decisions to achieve their goals.</li><li>Actively work across multiple customer accounts which you would need to track and report on their progress.</li><li>Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.</li><li>Analyze data sources to determine their value and recommend them to include in analytical processes.</li><li>Incorporate core data management competencies including data governance, data security and data quality.</li><li>Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.</li><li>Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.</li><li>Test data movement, transformation code, and data components.</li></ul>What We Look For<ul><li>Highly motivated individual with a continuous learning mindset. Excellent time management and prioritization skills.</li><li>Strong English verbal and written communication skills.</li><li>Familiarity with public cloud platforms AWS, Azure or GCP.</li><li>Nice to have: Experience in one or more of the following<ul><li>Data Engineering technologies (e.g., Spark, Hadoop, Kafka)</li><li>Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)</li><li>Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)</li></ul></li><li>Nice to have: Databricks data engineering or machine learning certification.</li></ul>Education:<ul><li>Bachelor’s Degree in Computer Science or Engineering related field.</li></ul> Our Commitment to Diversity and Inclusion:SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.Why Join SunnyData?<ul><li>Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.</li><li>Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.</li><li>Career Growth: Opportunities for professional development and career advancement.</li><li>Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.</li></ul>If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Mid-level Data Engineer 

At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Senior Data Engineer, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights. The Impact You Will Have<ul><li>Be part of a team responsible for supporting new and existing customers in their data engineering needs.</li><li>Guide customers to make the best technical decisions to achieve their goals.</li><li>Actively work across multiple customer accounts which you would need to track and report on their progress.</li><li>Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.</li><li>Analyze data sources to determine their value and recommend them to include in analytical processes.</li><li>Incorporate core data management competencies including data governance, data security and data quality.</li><li>Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.</li><li>Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.</li><li>Test data movement, transformation code, and data components.</li></ul>What We Look For<ul><li>5+ years of related experience in data engineering and data product development.</li><li>Experience in one or more of the following:<ul><li>Data Engineering technologies (e.g., Spark, Hadoop, Kafka)</li><li>Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)</li><li>Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)</li></ul></li><li>Solid understanding of the end to end data analytics workflow.</li><li>Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.</li><li>Proven problem solving skills including debugging skills.</li><li>Strong English verbal and written communication skills.</li><li>Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.</li><li>Excellent time management and prioritization skills.</li><li>Nice to have: knowledge of public cloud platforms AWS, Azure or GCP.</li><li>Nice to have: Databricks data engineering or machine learning certification. </li></ul>Education:<ul><li>Bachelor’s Degree in Computer Science or Engineering related field.</li></ul>Our Commitment to Diversity and Inclusion:SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.Why Join SunnyData?<ul><li>Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.</li><li>Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.</li><li>Career Growth: Opportunities for professional development and career advancement.</li><li>Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.</li></ul>If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Sunnydata

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Machine Learning Engineer

Machine Learning Engineer

Senior Data Engineer

Mid-level Data Engineer

Senior Data Engineer

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