Mid Level Data Visualization Developer Jobs
Mid level data visualization developer jobs go to developers ready to own dashboards and data products end to end, drive design decisions independently, and mentor junior teammates. Roles are concentrated in Automotive, Technology & Software, and Healthcare & Medical Services, with Biogen, Excella, and Collabera among the employers hiring at this level now.
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Showing 5 of 6+ Mid Level Data Visualization Developer jobs
INTRODUCTION
A Visualization Developer will be responsible for designing front-end, business partner-facing solutions and delivering dashboard experiences that enable Purchasing and Finance teams to make better, data-driven decisions in support of Stellantis' commercial operations.
ROLE AND RESPONSIBILITIES
Key Responsibilities include but are not limited to the following:
- Understand and anticipate the needs of business partners to determine the best approach to effectively meet those needs through data visualizations
- Work closely with business analysts, data scientists, data engineering, and data architects, to develop end to end reporting solutions
- Explore data to design, develop, and test enterprise-wide reporting and dashboard solutions
- Visualize and calculate metrics, KPIs from various data sources
- Conduct knowledge transfer to other IT and business personnel
- Proactively monitor industry trends and identify opportunities to implement new technologies, bringing innovative solutions
- Identify, design, and implement internal process improvements including the automation of manual processes, optimizing data delivery, and tuning of application design to maximize performance and end-user experience
BASIC QUALIFICATIONS
Required Qualifications:
- Bachelor's degree in engineering, Computer Science, Data Science, Purchasing/Finance or similar
- Minimum of 5 years of professional experience
- Exceptional communication, organizational, teamwork, and interpersonal skills
- Minimum of 4 years of hands-on experience in delivering solutions utilizing visualization software tools: Power BI, Qlik Sense, QlikView or equivalent
- Working knowledge of various data platforms, such as SQL, Snowflake, SAP, Hadoop, Oracle, AWS/Azure or other cloud services
- Hands-on experience with Palantir Foundry, Snowflake Intelligence
- Strong understanding of SAP configuration, master data, and business process flow
- SAP Analytics, SAP HANA, SAP AI/Joule experience
PREFERRED QUALIFICATIONS
- Programming and Technical Skills: Experience with programming and scripting languages such as Java, XML, SQL, Python, R, C++, C#, .NET, object-oriented programming, or other domain-specific languages
- Data Integration and Flow Management: Experience building and managing data flows from multiple sources, including spreadsheets, relational databases, flat files, cloud platforms, and big data environments
- Hands-on experience with ETL, ELT, data ingestion
- AI/ML Knowledge
- Project experience within an Agile, Scrum, SAFe framework
- SAP Analytics, SAP HANA, SAP AI/Joule experience
- Automotive domain expertise
INTRODUCTION
A Visualization Developer will be responsible for designing front-end, business partner-facing solutions and delivering dashboard experiences that enable Purchasing and Finance teams to make better, data-driven decisions in support of Stellantis' commercial operations.
ROLE AND RESPONSIBILITIES
Key Responsibilities include but are not limited to the following:
- Understand and anticipate the needs of business partners to determine the best approach to effectively meet those needs through data visualizations
- Work closely with business analysts, data scientists, data engineering, and data architects, to develop end to end reporting solutions
- Explore data to design, develop, and test enterprise-wide reporting and dashboard solutions
- Visualize and calculate metrics, KPIs from various data sources
- Conduct knowledge transfer to other IT and business personnel
- Proactively monitor industry trends and identify opportunities to implement new technologies, bringing innovative solutions
- Identify, design, and implement internal process improvements including the automation of manual processes, optimizing data delivery, and tuning of application design to maximize performance and end-user experience
BASIC QUALIFICATIONS
Required Qualifications:
- Bachelor's degree in engineering, Computer Science, Data Science, Purchasing/Finance or similar
- Minimum of 5 years of professional experience
- Exceptional communication, organizational, teamwork, and interpersonal skills
- Minimum of 4 years of hands-on experience in delivering solutions utilizing visualization software tools: Power BI, Qlik Sense, QlikView or equivalent
- Working knowledge of various data platforms, such as SQL, Snowflake, SAP, Hadoop, Oracle, AWS/Azure or other cloud services
- Hands-on experience with Palantir Foundry, Snowflake Intelligence
- Strong understanding of SAP configuration, master data, and business process flow
- SAP Analytics, SAP HANA, SAP AI/Joule experience
PREFERRED QUALIFICATIONS
- Programming and Technical Skills: Experience with programming and scripting languages such as Java, XML, SQL, Python, R, C++, C#, .NET, object-oriented programming, or other domain-specific languages
- Data Integration and Flow Management: Experience building and managing data flows from multiple sources, including spreadsheets, relational databases, flat files, cloud platforms, and big data environments
- Hands-on experience with ETL, ELT, data ingestion
- AI/ML Knowledge
- Project experience within an Agile, Scrum, SAFe framework
- SAP Analytics, SAP HANA, SAP AI/Joule experience
- Automotive domain expertise
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Find JobsMid Level Data Visualization Developer Job Market
Who's Hiring
Top Industries Hiring
- Automotive
- Technology & Software
- Healthcare & Medical Services
- Consulting & Professional Services
Mid Level Data Visualization Developer Jobs: Frequently Asked Questions
How do I get a mid level data visualization developer job?
Position your portfolio around projects you owned from data pipeline to final visual output, not just contributions to someone else's work. Highlight decisions you made independently, tools you introduced, and the business questions your dashboards answered. Employers at this level want evidence you can take a brief and deliver a polished, accurate solution with minimal hand-holding, so lead with outcomes over responsibilities in every application.
Which companies hire mid level data visualization developers?
Companies hiring mid level data visualization developers right now include Biogen, Excella, and Collabera, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of organizations, including large enterprises building internal analytics platforms, mid-size product companies scaling their data teams, and consulting firms that embed developers on client-facing reporting projects.
Are there remote mid level data visualization developer jobs?
Yes, remote and hybrid options are widely available at this level. About 50% of mid level data visualization developer openings are remote or hybrid as of July 2026, reflecting how naturally this work translates to distributed teams. Employers value demonstrated autonomy and clear async communication, both of which mid level candidates are well positioned to show.
How do I move up to a mid level data visualization developer role?
Progression from entry level to mid level comes from deepening your technical toolkit beyond basics, such as mastering interactivity, performance optimization, and accessibility, while also taking on projects you see through independently. Building a portfolio that shows measurable business impact, seeking feedback on design decisions, and volunteering for cross-functional work all signal readiness for mid level expectations before a title change makes it official.
Which industries hire the most mid level data visualization developers?
Mid Level data visualization developer roles concentrate in Automotive, Technology & Software, and Healthcare & Medical Services, based on current listings on Migrate Mate as of July 2026. These sectors invest heavily in making complex data accessible to decision-makers, which drives sustained demand for developers who can translate raw numbers into clear, interactive visuals at a level of quality and independence that mid level professionals deliver.