Sunnydata

<h2>Analytics (BI) Engineer</h2>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. We are seeking a Data Analytics Engineer to support ongoing reporting and data engineering needs. This role will focus on building and maintaining business reports in different suites of BI tools, as well as performing modeling and transformation with large datasets.A proactive mindset, strong communication skills and ability to collaborate closely with cross-functional teams are key. The Impact You Will Have<h3>1. Business Intelligence &amp; Reporting</h3><ul><li>Develop, modify, and maintain dashboards and reports in BI tools such as PowerBI, Tableau and Databricks AI/BI.</li><li>Translate business requests (submitted via ticketing system) into accurate and actionable data visualizations.</li><li>Ensure consistency in definitions, metrics, and data logic across reports.</li><li>Optimize queries and dashboards for performance and clarity.</li><li>Document logic and assumptions behind key metrics and dashboards.</li></ul><h3>2. Data Engineering &amp; Data Modeling</h3><ul><li>Advanced SQL knowledge and proven proficiency in writing and optimizing SQL queries</li><li>Create and maintain database views, derived tables, and other analytical objects to support reporting needs.</li><li>Proven work in dashboard engineering projects, with a focus on storytelling and usability</li><li>Perform data modeling and transformation tasks to ensure reliable downstream reporting.</li><li>Troubleshoot data discrepancies and validate data accuracy across systems.</li><li>Collaborate on improvements to data structure and warehouse organization when needed.</li></ul><h2>3. Deliverables &amp; Success Criteria</h2><ul><li>Accurate, well-documented dashboards delivered within agreed SLAs.</li><li>Clean, reusable SQL objects supporting long-term reporting needs.</li><li>Improved clarity and consistency in metric definitions.</li><li>Reduced back-and-forth on reporting requests due to thoughtful implementation.</li></ul>What We Look For<ul><li>4+ years of related experience in analytics/BI and data engineering.</li><li>Strong SQL proficiency (advanced querying, joins, CTEs, aggregations, window functions).</li><li>Hands-on experience with cloud based data warehouse.</li><li>Experience building dashboards and reports in BI tools such as Looker, Tableau, Power BI.</li><li>Ability to interpret business requirements and translate them into technical solutions.</li><li>Strong attention to detail and data validation practices.</li><li>Profile oriented toward leading business interactions, defining standards, documenting KPIs and reports, optimizing large data models, and supporting more junior team members.</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>

Analytics (BI) 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.

Senior Data 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.

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.

Sunnydata

Open jobs at Sunnydata

Analytics (BI) Engineer

Analytics (BI) Engineer

Senior Data Engineer

Senior Data Engineer

Mid-level Data Engineer

Working for Sunnydata?

Featured companies