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Remote Data Jobs in Springfield, MA (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Hartford, CT · Remote

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Springfield, MA · Remote

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Springfield, MA

Remote Data information

See Springfield, MA salary details

$45.8K

$164.4K

$242.6K

How much do remote data jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote data in Springfield, MA is $164,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,400.00 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 Springfield, MA?

The most popular types of Data jobs in Springfield, MA are:

What are popular job titles related to Remote Data jobs in Springfield, MA?

For Remote Data jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Data jobs in Springfield, MA look for?

The top searched job categories for Remote Data jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Data jobs?

Cities near Springfield, MA with the most Remote Data job openings:

Remote Data jobs near you
Infographic showing various Remote Data job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $164,441 per year, or $79.1 per hour.

Senior Python Data Engineer

Hartford, CT • Remote

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

$117K - $140K/yr

Contractor

Re-posted 8 days ago

Job description

Job Title: Sr. Python Data Engineer (Python, MongoDB, PowerBI and Data Extraction, ability to write code)
Location: Hartford, CT
Position type: W2 contract 
Duration: 12+ months extendable.
Mandatory skills:
Strong Python candidate having exp in Mondo DB, PowerBI and Data ExtractionOverview

We are seeking a motivated and skilled Data Engineer to join our team. The ideal candidate will have strong proficiency in Python, knowledge of MongoDB, and experience with Power BI. This role will primarily focus on building data extracts and data feeds for downstream systems, including Ledger, Reporting, and Boudreaux. You will be responsible for writing the code necessary to deliver the required data based on predefined definitions

Responsibilities:

  •  Data Extraction and Transformation: Write efficient and scalable Python code to extract and transform data from various sources, ensuring it meets the requirements for downstream systems.
  • MongoDB Management: Utilize MongoDB for storing and managing data. Design and optimize data models and queries to ensure high performance and reliability.
  • Power BI Integration: Collaborate with stakeholders to deliver data in a format suitable for reporting and visualization in Power BI. Ensure that the data aligns with business needs and reporting requirements.
  • Data Feed Development: Develop and maintain data feeds for downstream systems, including Ledger and Boudreaux, ensuring timely and accurate data delivery.
  • Collaboration with Stakeholders: Work closely with business analysts and other stakeholders to understand data definitions and requirements, translating them into technical specifications.
  • Documentation: Maintain comprehensive documentation of data pipelines, data models, and technical specifications to support knowledge sharing and compliance.
  • Quality Assurance: Implement data validation and quality checks to ensure the accuracy and integrity of the data being delivered.

Requirements:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Minimum of 9 years of experience in data engineering or a related field.
  • Strong experience in Python programming, particularly in data manipulation and ETL processes.
  • Solid knowledge of MongoDB and experience in database design and management.
  • Familiarity with Power BI for creating reports and dashboards.
  • Experience in building data extracts and feeds for business applications.
  • Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering high-quality data solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to clearly convey technical concepts to both technical and non-technical stakeholders.
  • Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment.