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Part Time Data Engineering Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77.60K - $176K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Mclean, VA · On-site

$62K - $141K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77.60K - $176K/yr

You Have: * 3+ years of experience in data engineering, data integration, or backend data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Norfolk, VA · On-site

$77.50K - $176K/yr

Working under the guidance of senior engineers, you'll help develop and deploy the data pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Gesture

Data Marketing Engineering Intern

New York, NY · On-site

$18 - $20/hr

Data Marketing Engineer Intern Location: ONSITE / IN-OFFICE NYC / HYBRID Internship Duration: 6 ... Internship | Part-Time or Full-Time | Paid or Academic Credit Immediate Openings Only: Please note ...

Booz Allen Hamilton, Inc.

Data Science Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

Experience with data engineering concepts and implementations * Experience writing source code for ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Engineering information

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$44.5K

$129.7K

$177.5K

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

As of May 30, 2026, the average yearly pay for part time data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

More about Part Time Data Engineering jobs
What cities are hiring for Part Time Data Engineering jobs? Cities with the most Part Time Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Part Time Data Engineering jobs? States with the most job openings for Part Time Data Engineering jobs include:
Part Time Data Engineering jobs near you

Remote | Data Science & Analytics Workflow Consultant -- $75-$130/hour

24-MAG

New York, NY • Remote

$75 - $130/hr

Part-time

Posted 4 days ago

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review.

This role supports current and upcoming remote consulting opportunities focused on structured data science review, analytics workflow analysis, business intelligence assessment, experimentation review, data pipeline evaluation, metric documentation, and high-quality project execution. Selected professionals will apply their data and analytics expertise to review realistic technical scenarios, evaluate analytical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks.

Key Responsibilities

Professionals in this role may contribute to:

Analytics, BI & Metric Review

  • Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs
  • Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements
  • Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries
  • Identify missing assumptions, query issues, metric inconsistencies, reporting gaps, and expected analysis outcomes

Experimentation & Data Science Support

  • Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria
  • Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards
  • Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials
  • Prepare clear written explanations for data science and analytics decisions based on source materials and verifiable criteria

Data Engineering & Pipeline Workflow Review

  • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation
  • Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements
  • Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional
  • Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis
  • Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems
  • Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation
  • Strong written communication skills and ability to explain data decisions clearly
  • Ability to follow structured instructions and produce evidence-based work

Educational Background

  • A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful
  • Equivalent practical experience in data science, analytics engineering, business intelligence, experimentation, data engineering, or data workflow review is also highly relevant

Nice to Have

  • Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments
  • Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows
  • Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation
  • Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA
  • Strong attention to detail in data-heavy, metric-heavy, and documentation-based technical environments

Why This Opportunity

  • Apply data science and analytics expertise to structured remote project work
  • Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis
  • Work on flexible, project-based assignments aligned with your technical background
  • Use your data judgment in a focused, detail-oriented technical environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $75–$130 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.