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Remote Data Jobs in Summit, NJ (NOW HIRING)

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world. Role Overview: We are seeking a skilled Data Engineer to join ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

Truvani

eCommerce Data Analyst - REMOTE

Newark, NJ · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Truvani

eCommerce Data Analyst - REMOTE

Newark, NJ · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

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All JobsRemote Data JobsRemote Data Jobs in Summit, NJ

Remote Data information

See Summit, NJ salary details

$48.9K

$175.3K

$258.7K

How much do remote data jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data in Summit, NJ is $175,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,900.00 and $180,600.00 per year, depending on experience, location, and employer.

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.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

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 most commonly searched types of Data jobs in Summit, NJ? The most popular types of Data jobs in Summit, NJ are:
What job categories do people searching Remote Data jobs in Summit, NJ look for? The top searched job categories for Remote Data jobs in Summit, NJ are:
What cities near Summit, NJ are hiring for Remote Data jobs? Cities near Summit, NJ with the most Remote Data job openings:
Remote Data jobs near you

Data Engineer (Contract) (Remote)

Cloudacio

Manhattan, NY • Remote

$126K - $151K/yr

Contractor

Posted 8 days ago

Job description

About Cloudacio:

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.
Role Overview:

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and optimizing data pipelines, implementing big data solutions, and contributing to our advanced cloud-based projects. The candidate should be versatile in various data engineering technologies and methodologies, capable of working independently as well as collaboratively in a remote team environment. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.
Key Responsibilities:
  • Design, build, and optimize data pipelines, architectures, and data sets.
  • Work with big data technologies to solve complex data processing challenges.
  • Implement ETL processes and data warehousing solutions.
  • Attend meetings, providing pre-sales support and technical insights.
  • Collaborate with cross-functional teams to integrate data solutions into broader projects.
  • Engage in cloud-based data solutions using AWS, Azure, or GCP.
  • Ensure data integrity, efficiency, and scalability in all solutions.
Core Skills:
  • Strong proficiency in Python
  • Experience with SQL and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
  • Expertise in ETL processes and tools.
  • Proficiency in one or more cloud platforms: AWS, Azure, or GCP, with specific technologies including:
  • AWS: Glue, Redshift, EMR, Lambda, S3, Kinesis, Athena
  • Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs
  • GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
  • Familiarity with big data tools like Hadoop, Spark, or Airflow.
  • Experience with Snowflake for cloud data warehousing.
  • Strong problem-solving skills and attention to detail.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Previous consulting or startup environment experience.
  • Ability to independently handle customer interactions and lead projects.

Desired Skills:
  • Experience with Looker, PowerBI, Tableau, or Grafana for data visualization.
  • Experience with machine learning and analytics.
  • Familiarity with containerization technologies like Docker, Kubernetes, and Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
  • Knowledge of API development and integration.
  • Experience with streaming technologies such as Kafka or Flink.
  • Understanding of data privacy and compliance regulations (e.g., GDPR, HIPAA).

What We Offer:
  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR

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