Data Analytics Engineer

SunnyData; United States; On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

Paid Time Off

Career Growth

Team Collaboration

Job summary

SunnyData is seeking a Data Analytics Engineer to support reporting and data engineering, building dashboards in BI tools and performing data modeling across large datasets.

The role emphasizes translating business requests into actionable insights, ensuring data quality, and collaborating with cross-functional teams to drive data-driven decisions.

Qualifications

• Bachelor's Degree in Computer Science or Engineering related field.
• Strong SQL proficiency (advanced querying, joins, CTEs, aggregations, window functions).
• Experience building dashboards and reports in BI tools such as Looker, Tableau, Power BI.

Responsibilities

• Develop, modify, and maintain dashboards and reports in BI tools such as PowerBI, Tableau and Databricks AI/BI. Translate business requests into accurate and actionable data visualizations.
• Perform data modeling and transformation tasks to ensure reliable downstream reporting and optimize queries for performance and clarity.
• Deliver accurate, well-documented dashboards within SLAs and maintain reusable SQL objects to support long-term reporting.

Skills

SQL proficiency

Cloud data warehouse

BI dashboards

Requirements interpretation

Data validation

KPIs & reports

Education

Bachelor's degree in computer science or engineering

Tools

Looker

Tableau

Power BI

Job description

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

1. Business Intelligence & Reporting Develop, modify, and maintain dashboards and reports in BI tools such as PowerBI, Tableau and Databricks AI/BI. Translate business requests (submitted via ticketing system) into accurate and actionable data visualizations. Ensure consistency in definitions, metrics, and data logic across reports. Optimize queries and dashboards for performance and clarity. Document logic and assumptions behind key metrics and dashboards.

2. Data Engineering & Data Modeling Advanced SQL knowledge and proven proficiency in writing and optimizing SQL queries. Create and maintain database views, derived tables, and other analytical objects to support reporting needs. Proven work in dashboard engineering projects, with a focus on storytelling and usability. Perform data modeling and transformation tasks to ensure reliable downstream reporting. Troubleshoot data discrepancies and validate data accuracy across systems. Collaborate on improvements to data structure and warehouse organization when needed.

3. Deliverables & Success Criteria Accurate, well-documented dashboards delivered within agreed SLAs. Clean, reusable SQL objects supporting long-term reporting needs. Improved clarity and consistency in metric definitions. Reduced back-and-forth on reporting requests due to thoughtful implementation.

What We Look For

• Strong SQL proficiency (advanced querying, joins, CTEs, aggregations, window functions).
• Hands-on experience with cloud based data warehouse.
• Experience building dashboards and reports in BI tools such as Looker, Tableau, Power BI.
• Ability to interpret business requirements and translate them into technical solutions.
• Strong attention to detail and data validation practices.
• Profile oriented toward leading business interactions, defining standards, documenting KPIs and reports, optimizing large data models, and supporting more junior team members.

Education

Bachelor's Degree in Computer Science or Engineering related field.

Benefits

• Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
• Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
• 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.

Compensation Overview

The 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?

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
• Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

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.