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Remote Data Jobs in Utica, MI (NOW HIRING)

Sr. Data Engineer

Detroit, MI ยท Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Showing results 21-40

Remote Data information

See Utica, MI salary details

$42K

$150.5K

$222.1K

How much do remote data jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data in Utica, MI is $150,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $155,100.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are the most commonly searched types of Data jobs in Utica, MI?

The most popular types of Data jobs in Utica, MI are:

What are popular job titles related to Remote Data jobs in Utica, MI?

For Remote Data jobs in Utica, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data jobs in Utica, MI look for?

The top searched job categories for Remote Data jobs in Utica, MI are:

What cities near Utica, MI are hiring for Remote Data jobs?

Cities near Utica, MI with the most Remote Data job openings:

Infographic showing various Remote Data job openings in Utica, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $150,544 per year, or $72.4 per hour.

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI โ€ข On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Job description

About Us

At Proactive Technology Management,ย we'reย transforming howย businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, weย leverageย cutting-edgeย technologies to deliver actionable insights that give our clients a competitive advantage.ย We'reย seeking aย Senior Full-Stack BI Architect / Fabric Data Engineerย to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you!ย 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric designย through the use ofย ubiquitous language and domain-driven principles.ย You willย leverageย deepย expertiseย in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technicalย expertiseย in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions.ย 

Key Responsibilitiesย 
  • Lead the design and implementation of ETL/ELT pipelines within aย medallion architectureย (Bronze, Silver, andย Goldย layers) to ensure data quality, scalability, and accessibility across use cases.ย ย 
  • Architect and develop advanced data models that reflectย domain-driven design principles, aligning with business domains and usingย ubiquitous languageย to ensure clarity and usability for all stakeholders.ย ย 
  • Design and implement star and snowflake schemas, along withย medallion schema practices, to provide flexible, high-performance data structures for analytics.ย ย 
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.ย ย 
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.ย ย 
  • Build andย optimizeย SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.ย ย 
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.ย ย 
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.ย ย 
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.ย ย 
  • Mentor team members to build organizational capacity in BI and data engineering best practices.ย ย 

Requirements

Qualifications
  • Bachelor's orย Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.ย ย 
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.ย ย 
  • In-depthย expertiseย inย medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.ย ย 
  • Proven ability to implementย domain-driven design (DDD)ย principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.ย ย 
  • Expert-levelย proficiencyย in Power BI, DAX, Power Query M, and SQL, withย demonstratedย success delivering scalable, impactful BI solutions.ย ย 
  • Strong programming skills with Spark Python for advanced data processing and analytics.ย ย 
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.ย ย 
  • A track recordย of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.ย ย 
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.ย ย 
  • Strong communicationย and leadership skills, with a focus on collaboration and stakeholder engagement.ย ย 

Benefits

  • Competitive compensation tailored to senior-levelย expertise.ย ย 
  • Opportunities to shape data strategy and lead transformative BI projects.ย ย 
  • Ongoing professional development through advanced training and certifications.ย ย 
  • A supportive, innovative culture that values diversity, inclusion, and creativity.ย ย 
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

Ifย you'reย ready to lead the next evolution of business intelligence-harnessing the power ofย medallion architecture,ย domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.ย