Senior BI Developer / Data Engineer (QuickSight)

Full Spectrum partners with leading companies developing safety critical systems used in multiple industries. With projects focused on embedded systems, mobile apps, robotics, and more, engineers at Full Spectrum love the challenge of working with clients on products that have a meaningful impact. Working across different client projects with a wide range of technologies, a career at Full Spectrum offers both technical and professional growth opportunities.

Senior BI Developer / Data Engineer (QuickSight)

Full Spectrum is seeking a curious and customer-focused BI Developer and Data Engineer to support a key client project. This is an onsite role that will be focused on converting existing Tableau dashboards to QuickSight, as well as developing new dashboards and data pipelines in AWS. The ideal candidate excels at collaborating with stakeholders, understanding their needs, and using their technical skills to build robust dashboards and data models. You will be the crucial link between raw data and business decision-making, with a strong emphasis on analytics, problem-solving, and communication.

This is an onsite/hybrid position based out of Westborough, MA.

KEY RESPONSIBILITIES:

· Stakeholder Collaboration : Partner with internal customers to understand their business challenges, gather data requirements, and translate them into technical solutions and analytical frameworks.

· Dashboard Development : Design, develop, and maintain insightful and user-friendly dashboards in Amazon QuickSight, ensuring data is visualized effectively to answer key business questions. Migrate existing Tableau dashboards to QuickSight.

· Data Modeling & Querying : Develop and manage curated data models and sources that are optimized for business intelligence. Utilize SQL and AWS Athena to query and analyze large datasets.

· Data Preparation : Perform light ETL/ELT tasks as needed to prepare and cleanse data for analysis and reporting.

· Cloud Analytics : Leverage AWS services such as Redshift, Lambda, Athena, and Glue to support analytics workflows.

· Problem Solving : Act as a data subject matter expert, troubleshooting data inconsistencies and providing analytical support to business users.

REQUIRED SKILLS AND QUALIFICATIONS:

· 5+ years’ experience in a business intelligence or data engineering role.

· Proficiency with Tableau and Amazon QuickSight for creating compelling and accurate visualizations.

· Strong proficiency in SQL for complex querying and data analysis.

· Hands-on experience with the AWS cloud platform, particularly with Athena, Glue, S3, Redshift, and Lambda.

· Proficiency in Python for data analysis and scripting.

· Ability to design and maintain ETL/ELT pipelines .

· Experience with data modeling and schema design.

· Experience with data visualization techniques.

· Excellent analytical, critical thinking, and problem-solving skills with keen attention to detail.

· Demonstrated commitment to high quality.

· Highly motivated, self-disciplined, independent and results oriented.

· Outstanding communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.

· Bachelor’s degree in computer science, math, or equivalent years of experience.

PREFERRED QUALIFICATIONS:

· Experience with Infrastructure-as-Code (IaC) using Terraform or CloudFormation.

· Familiarity with software development best practices (e.g., version control with Git, CI/CD, etc.).

The base salary for this position is $105,000 to $165,000 annually, and the role is bonus eligible. The final salary offer is determined by factors such as experience, location, skills, education, and market conditions. **

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.