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Part Time Dbt Analytics Jobs (NOW HIRING)

Licensed Clinician

Bayville, NJ ยท On-site

$55.60K - $75.10K/yr

Both part-time and full-time caseloads are available, and clinicians are not responsible for ... DBT), and Applied Behavior Analysis (ABA) * Support clients with a range of mental health needs ...

Senior Data Analyst, Marketing

New York, NY ยท On-site

$120K - $160K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Hands-on experience with modern data analytics stack (e.g. Airbyte, BigQuery, dbt, Hex, Omni, or ...

Senior Analytics Engineer

New York, NY ยท On-site

$130 - $185K/hr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience building and maintaining dbt projects in a production environment * Hands-on with data ...

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Part Time Dbt Analytics information

See salary details

$38K

$63.4K

$104.5K

How much do part time dbt analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for part time dbt analytics in the United States is $63,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $70,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time DBT Analytics professional, you need a strong foundation in data analysis, SQL, and an understanding of data modeling, often supported by experience in analytics or data science roles. Proficiency with dbt (data build tool), data warehouses like Snowflake or BigQuery, and familiarity with version control systems such as Git are typically required. Attention to detail, problem-solving abilities, and effective communication help translate business needs into actionable analytics solutions. These skills ensure accurate data transformation, reliable analytics workflows, and successful collaboration with both technical and non-technical stakeholders.

What are some typical challenges faced by part-time DBT analytics professionals, and how can they be managed?

Part-time DBT analytics professionals often face challenges related to balancing workload within limited hours and staying aligned with fast-moving team projects. Managing communication effectively and setting clear expectations with team members is crucial to ensure tasks are completed on time. Additionally, keeping up with frequent updates or changes in the data models and tools used in DBT (Data Build Tool) pipelines can require proactive learning and strong organizational skills. Leveraging documentation, regular check-ins, and utilizing collaboration platforms can help overcome these challenges and maintain productivity.

What are part time DBT analytics jobs?

Part time DBT analytics jobs involve using dbt (data build tool) to transform, model, and manage data within data warehouses on a part-time basis. Professionals in these roles typically build and maintain data pipelines, write SQL-based data models, and collaborate with data teams to ensure data quality and accessibility. These positions offer flexibility in work hours and are ideal for those who want to balance other commitments while working in analytics engineering. Employers often seek candidates with experience in dbt, SQL, and cloud data platforms, as well as strong analytical and communication skills.

What is the difference between Part Time Dbt Analytics vs Part Time Data Analyst?

AspectPart Time Dbt AnalyticsPart Time Data Analyst
Required CredentialsKnowledge of Dbt tools, SQL, data modelingSQL, Excel, basic data analysis skills
Work EnvironmentRemote or hybrid, project-basedOffice or remote, routine data tasks
Industry UsageTech, finance, healthcare with data transformation needsVarious industries for data reporting and analysis

Part Time Dbt Analytics focuses on data transformation and modeling using Dbt tools, requiring specific technical skills. In contrast, Part Time Data Analysts perform broader data analysis and reporting tasks. Both roles may be part-time and involve working with data, but Dbt Analytics emphasizes data pipeline development, while Data Analysts focus on interpreting data for insights.

More about Part Time Dbt Analytics jobs
What are the most commonly searched types of Dbt Analytics jobs? The most popular types of Dbt Analytics jobs are:

Remote | Data Pipeline & Analytics Engineering Consultant -- $95-$135/hour

24-MAG

New York, NY โ€ข Remote

$95 - $135/hr

Part-time, Contractor

Posted 4 days ago


Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes.

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

Key Responsibilities

Professionals in this role may contribute to:

Pipeline Development & ETL/ELT Review

  • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables
  • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements
  • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows
  • Identify missing logic, incorrect transformations, schema issues, and expected pipeline outcomes

Orchestration, Testing & Data Quality

  • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution
  • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations
  • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows
  • Prepare clear written explanations for data engineering decisions based on source materials and verifiable criteria

Warehouse Design & Data Contracts

  • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design
  • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints
  • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles
  • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts
  • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems
  • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams
  • Strong written communication skills and ability to explain data engineering reasoning clearly
  • Ability to follow structured instructions and produce evidence-based work

Educational Background

  • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful
  • Equivalent practical experience in data engineering, analytics engineering, data platform work, pipeline development, or warehouse design is also highly relevant

Nice to Have

  • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows
  • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms
  • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks
  • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning
  • Strong attention to detail in code-heavy, data-heavy, and documentation-based technical environments

Why This Opportunity

  • Apply data engineering and analytics engineering expertise to structured remote project work
  • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows
  • Work on flexible, project-based assignments aligned with your professional background
  • Use your data engineering judgment in a focused, detail-oriented consulting 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 $95โ€“$135 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