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Part Time Dagster Jobs (NOW HIRING)

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Part Time Dagster information

What is the difference between assets and jobs in Dagster?

In Dagster, assets are data entities or datasets that represent the state of data at a specific point, while jobs are collections of computations or tasks that process or transform data. Assets are used to track data dependencies, whereas jobs define the execution logic to produce or update those assets, often involving scheduling and orchestration skills for efficient data pipelines.

What is the difference between job and op in Dagster?

In Dagster, a job is a collection of ops that define a complete data pipeline, representing a higher-level workflow. An op is a single, reusable unit of computation within a job, performing specific tasks. Jobs orchestrate multiple ops to build complex data processing workflows, and understanding this distinction is key for designing modular and maintainable pipelines.

What are some common challenges faced by part-time Dagster developers, and how can they be addressed?

Part-time Dagster developers often face challenges with context switching and keeping up-to-date with rapidly evolving data pipelines. Since Dagster is a modern orchestration tool, staying aligned with best practices and team workflows can be difficult when working limited hours. To address these challenges, it's helpful to maintain clear documentation, set up regular check-ins with the full-time team, and leverage automated testing and monitoring tools within Dagster to ensure smooth handoffs and reliable pipeline performance.

How to run a job in Dagster?

To run a job in Dagster, you can execute it through the Dagster CLI using the command 'dagster job execute -f -a ' or via the Dagster UI by selecting the job and clicking 'Launch Run.' Ensure your environment is properly configured with the necessary dependencies and that the job is defined correctly in your codebase. Running jobs may also involve setting up schedules or sensors for automated execution.

What are the key skills and qualifications needed to thrive as a Part Time Dagster, and why are they important?

To thrive as a Part Time Dagster (Data Engineer focused on Dagster), you need a solid background in Python programming, data pipeline development, and experience with ETL processes, usually supported by a degree in computer science or a related field. Familiarity with Dagster, cloud platforms (like AWS or GCP), and containerization tools such as Docker is typically required. Strong problem-solving skills, attention to detail, and effective communication help individuals excel in collaborating with cross-functional teams. These skills ensure reliable data workflows, efficient troubleshooting, and successful delivery of data-driven solutions.

What is a Part Time Dagster?

A Part Time Dagster is typically a data engineer or developer who works with the Dagster data orchestration platform on a part-time basis. Dagster is an open-source tool used for building, running, and monitoring data pipelines. Part-time Dagster professionals are responsible for designing, implementing, and maintaining these pipelines, but may work reduced hours compared to full-time staff. Their responsibilities often include collaborating with teams to ensure data workflows run efficiently and reliably. This role is ideal for those who have experience with Python, data engineering, and workflow orchestration, but prefer flexible or reduced working hours.

What is the highest paid part-time job?

Part-time roles in specialized fields such as healthcare, IT, or consulting tend to offer the highest pay, with positions like part-time anesthesiologists, software developers, or financial consultants earning significantly more than other part-time jobs. These roles often require advanced skills, certifications, or experience and may involve flexible schedules or remote work options.

What is the difference between Part Time Dagster vs Part Time Data Engineer?

AspectPart Time DagsterPart Time Data Engineer
Required CredentialsKnowledge of Dagster, data pipeline toolsDegree in Computer Science or related, experience with data tools
Work EnvironmentCollaborative, project-based, tech companiesSimilar, often in tech or data-driven organizations
Industry UsagePrimarily in data orchestration and pipeline managementBroader data infrastructure and pipeline roles
Search & Comparison IntentUnderstanding Dagster-specific rolesBroader data engineering tasks

Part Time Dagster focuses on managing data workflows using Dagster, a data orchestration tool, requiring familiarity with its platform. Part Time Data Engineer covers a wider range of data infrastructure tasks, often involving multiple tools and technologies. Both roles are common in data-driven companies, but Dagster-specific roles are more specialized in data pipeline orchestration.

More about Part Time Dagster jobs
What are the most commonly searched types of Dagster jobs? The most popular types of Dagster jobs are:
Infographic showing various Part Time Dagster job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 95% Part Time, 1% Temporary, and 1% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Alvarez and Marsal

Boston, MA

$90K - $130K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Job description

Description

Digital Finance Transformation - Data Scientist:  Associate –  Private Equity Performance Improvement

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

A&M’s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients’ operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.

Our PEPI CFO Services practice includes the following pillar of services:

  • Strategic Finance and Liquidity Management
  • Accounting Advisory and Financial Reporting Solutions
  • Working Capital Optimization
  • Digital Finance Transformation
  • Interim Management

How you will contribute

We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function—modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.

The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.

Qualifications

  • 3-6 plus years of professional experience; consulting or professional services experience preferred.
  • Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
  • Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
  • Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.
  • Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.
  • Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.
  • Ability to travel as required

#LI-LS1

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

The salary range is $90,000--$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.  Please ask your recruiter for details.

Alvarez & Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.

Full-time Positions and Part-time Positions Over 30 hours

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs.

Inclusive Diversity

A&M’s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M’s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.

Equal Opportunity Employer

It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by region here.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.