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Assistant Remote Data Visualization Jobs in Novi, MI

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau, Sigma, Power BI) * Experience with data collection from edge devices * Experience supporting ML ...

At Wing, we give growing businesses access to the top tier of global remote talent supercharged by ... Acquire key prospect data from the initial conversation, the web, and other sources; keep clean ...

We assist a diverse client base across all industries in meeting the demands of today's challenging ... Proficiency in data visualization and analytics tools (Power BI, Tableau, SQL). * Familiarity with ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Project Data Assistant

Detroit, MI · On-site +1

$30K - $40K/yr

Everlight Solar is seeking a skilled, data-minded individual to be an assistant to our Solar ... This is a FULLY REMOTE, full-time, entry level position. Must own a Mac computer and be fluent with ...

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Assistant Remote Data Visualization information

How does an Assistant Remote Data Visualization professional typically collaborate with other team members, given the remote nature of the role?

As an Assistant Remote Data Visualization professional, you will regularly collaborate with data analysts, project managers, and subject matter experts through virtual meetings, shared dashboards, and real-time messaging platforms. Remote work relies heavily on clear digital communication and documentation to ensure everyone is aligned on project goals and visualization requirements. You may also use collaborative tools like cloud-based data platforms and version control systems to update and share your work. Building strong online relationships and proactively seeking feedback are key to successful teamwork in this environment.

What are Assistant Remote Data Visualization jobs?

Assistant Remote Data Visualization jobs involve supporting data analysts or visualization specialists in creating charts, graphs, dashboards, and other visual representations of data—while working remotely. These roles typically include tasks like cleaning and organizing datasets, using visualization tools (such as Tableau, Power BI, or Excel), and collaborating with teams to present insights clearly. The 'assistant' aspect means you'll often work under supervision, helping to prepare materials and ensure data accuracy for reports or presentations. This job is ideal for those with good analytical skills, attention to detail, and interest in both data and design.

What is the difference between Assistant Remote Data Visualization vs Data Analyst?

AspectAssistant Remote Data VisualizationData Analyst
Required CredentialsBasic knowledge of data visualization tools, possibly some certifications in visualization softwareDegree in data science, statistics, or related field; often certifications in data analysis
Work EnvironmentRemote, collaborative with data teams, focused on visualization tasksRemote or on-site, broader data analysis responsibilities
Industry UsageUsed in tech, marketing, finance for visual reportingUsed across industries for data interpretation and decision-making

Assistant Remote Data Visualization roles focus on creating visual representations of data, often requiring familiarity with visualization tools. Data Analysts perform broader data analysis, including cleaning, interpreting, and reporting data. While both roles may work remotely and require some overlapping skills, Data Analysts typically have more extensive analytical responsibilities and educational background.

What are the key skills and qualifications needed to thrive as an Assistant Remote Data Visualization, and why are they important?

To thrive as an Assistant Remote Data Visualization, you need a solid grounding in data analysis, statistics, and visualization principles, often supported by a degree in a related field. Familiarity with tools such as Tableau, Power BI, or Python visualization libraries, as well as experience with spreadsheets and data management systems, is typically expected. Strong communication, attention to detail, and problem-solving skills help you translate complex data into clear, actionable visual insights for diverse audiences. These skills are crucial for effectively supporting data-driven decision-making and ensuring that key findings are accessible and impactful.
What are popular job titles related to Assistant Remote Data Visualization jobs in Novi, MI? For Assistant Remote Data Visualization jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Assistant Remote Data Visualization jobs in Novi, MI look for? The top searched job categories for Assistant Remote Data Visualization jobs in Novi, MI are:
What cities near Novi, MI are hiring for Assistant Remote Data Visualization jobs? Cities near Novi, MI with the most Assistant Remote Data Visualization job openings:
Principal Data Engineer

Principal Data Engineer

Utilidata

Ann Arbor, MI • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data systems that underpin our products, make critical design decisions about how we collect, process, store, and serve data at scale, and raise the bar for the entire team through your judgment, communication, and hands-on engineering. You'll operate at the intersection of deep technical work and cross-functional leadership, translating product goals into sound engineering plans and guiding the team through ambiguity to deliver real results. You'll own the component-level architecture for the data platform while working in close partnership with the platform architect to ensure alignment with the end-to-end platform vision and architecture. You'll join a diverse team of experts who are mission-driven, collaborative, and adaptive, and guide the team through the challenges of building reliable, performant data infrastructure in a fast-moving environment.
Responsibilities
  • Architect and contribute directly to core platform components, including ingestion pipelines, transformation frameworks, data models, and orchestration
  • Define and evolve the multi-quarter technical roadmap for the data platform, balancing new capabilities, reliability investments, and technical debt reduction in alignment with the broader platform architecture
  • Drive evaluation and adoption of tooling across the stack, ensuring choices are well-reasoned and aligned with where the platform needs to go
  • Lead architecture reviews and design discussions, ensuring decisions are well-reasoned, documented, and understood by the team
  • Cut through ambiguity by asking the right questions early about data quality, schema evolution, and downstream dependencies, and identify risks before they become crises
  • Translate complex data infrastructure decisions for non-technical stakeholders without oversimplifying, and break vague product requirements into clear engineering tasks and acceptance criteria
  • Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity
  • Run a lightweight but effective backlog and planning process, keeping the team focused and unblocked
  • Mentor and grow engineers with an emphasis on raising technical depth - delegate meaningful work, pair on hard problems, and create opportunities for others to stretch
  • Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management
  • Ensure data systems work reliably in production - instrumented, observable, and operable, with clear SLAs on freshness, completeness, and accuracy

Minimum Qualifications
  • At least 8 years of experience in data engineering, with 2+ years operating at a principal or staff level
  • Proven ability to design and evaluate end-to-end data platforms across ingestion, transformation, storage, and serving, with clean contracts between layers
  • Deep understanding of data pipeline design, with fluency in the patterns and tradeoffs of batch and streaming pipelines at scale
  • Strong understanding of data modeling and storage strategies
  • Strong software engineering fundamentals, with the depth to evaluate code quality and set architectural standards
  • Strong experience with cloud data infrastructure (AWS, GCP, or Azure) and the surrounding ecosystem
  • Demonstrated ability to lead technical teams, set direction, and grow engineers without relying on formal authority

Enhanced Qualifications (Nice to Have)
  • Experience with streaming architectures (Spark Structured Streaming, Delta Live Tables, Kafka)
  • Familiarity with data quality and observability tooling (Great Expectations, Monte Carlo, Soda, or similar)
  • Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau, Sigma, Power BI)
  • Experience with data collection from edge devices
  • Experience supporting ML workflows, including feature engineering pipelines, feature stores, or model input data preparation

Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming, and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k