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Part Time Data Engineer Jobs in Oxford, MA (NOW HIRING)

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

PREP COOK (PART TIME)

Pomfret, CT ยท On-site

$18.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

PREP COOK (PART TIME)

Pomfret, CT ยท On-site

$18.50/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... We believe in nourishing the whole person, creating community through great food and programming ...

Conservation Agent Part-Time

Oxford, MA ยท On-site

$25.62 - $36.43/hr

Ability to read and interpret engineered plans, drawings, and date tables. * Experience with office ... data management software such as Word, Excel, and Access. * Requires basic knowledge of local ...

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Showing results 1-20

Part Time Data Engineer information

See Oxford, MA salary details

$46.3K

$134.9K

$184.6K

How much do part time data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for part time data engineer in Oxford, MA is $134,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What cities near Oxford, MA are hiring for Part Time Data Engineer jobs?

Cities near Oxford, MA with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Oxford, MA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $134,884 per year, or $64.8 per hour.

Remote Biostatistics Consultant- Part Time

Marlborough, MA โ€ข Remote

Sigma Systems, Inc.
51 - 200 employees

Part-time, Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

37573578 Remote Biostatistics Consultant- Part Time 6 Months Contract
Sigma Systems is currently looking for a Remote Biostatistics Consultant

This is a remote role initially working 10-15 hours a week for the first three months, then scaling back to 5-10 hours per week until the engagement ends.The consultant will support statistical deliverables within SMPA's oncology program. Responsibilities include reviewing and finalizing analysis datasets, supporting data quality and consistency checks, conducting or validating statistical analyses, generating tables, figures, and listings, interpreting statistical results, and contributing to statistical content to be used for publications. The consultant will collaborate with cross-functional team members, address publication-related statistical questions, and help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready. The role will work closely with the Medical Strategy lead and publications specialist. Responsibilities:

  • Lead Statistical Efforts: Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses
  • Provide Technical Guidance: Offer guidance to statistical programmers on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications, as well as perform quality checks on statistical programming efforts as needed
  • Communication Skills: Strong written and verbal communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences
  • Collaboration: Proven ability to work effectively as part of a cross-functional team
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights
  • Statistical Expertise: In-depth knowledge of statistical methods and their application in oncology clinical trials
  • Software Proficiency: Proficient in statistical programming languages and software, such as SAS and R, with the ability to guide data analysis and interpretation.
  • Data Standards: Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specification
  • Quality Control: Strong attention to detail and commitment to ensuring the accuracy and integrity of statistical analyses and programming outputs.

Requirements:

  • PhD or MS in statistics or biostatistics
  • Ideal 3-year (for PhD) or 5-year (for MS) with experience in clinical trials
  • Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications into clinical trial
  • Effective writing and communication skills: able to explain to team clearly and help team understand complex statistical design, methodology, decision rule, analysis plan and statistical report
  • Experience with Bayesian modeling and Analysis
  • Experienced with SAS programming, R programming and other statistical software