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Part Time Dbt Analytics Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As organizations increasingly rely on cloud computing and advanced analytics, the ability to design ... 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

Fayetteville, NC · On-site

$99K - $225K/yr

... dbt and Airflow * Experience developing predictive data models, quantitative analyses, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AACI

PT Psychiatric Nurse Practitioner

San Jose, CA · On-site

$78 - $90/hr

This is a part time position at 8 hours per week. Why Join AACI? * 403(b) Retirement Plan ... Knowledge of trauma-informed and evidenced-based practices (i.e., CBT, DBT, ACT). * Understanding ...

AACI

PT Psychiatric Nurse Practitioner

San Jose, CA · On-site

$78 - $90/hr

This is a part time position at 8 hours per week. Why Join AACI? * 403(b) Retirement Plan ... Knowledge of trauma-informed and evidenced-based practices (i.e., CBT, DBT, ACT). * Understanding ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Experience with ETL tools such as dbt and Airflow * Experience with NoSQL and graph databases and ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77.50K - $176K/yr

You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile ... Experience with ETL tools, such as dbt and Airflow * Experience with NoSQL and graph databases, and ...

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

As of May 31, 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:
What job categories do people searching Part Time Dbt Analytics jobs look for? The top searched job categories for Part Time Dbt Analytics jobs are:
Part Time Dbt Analytics jobs near you

HIE - Intersystems Consultant (Data Migration to Snowflake/Databricks)

Big Resourcing

Snowflake, AZ • Remote

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

HIE – Intersystems Consultant (Data Migration to Snowflake/Databricks) Location: Remote NYC Contract: Ongoing Contract-Part-time About BigRio: BigRio is a Boston-headquartered, remote‐first technology consulting firm specializing in AI/ML, Cloud Transformation, Data Engineering, Healthcare Modernization, and Digital Innovation. We partner with leading healthcare, life sciences, and enterprise organizations to modernize legacy systems, build intelligent data platforms, and accelerate AI‐driven operations. As part of our expanding Cloud & Data Engineering practice, we are looking for a talented Data Engineer to support a high‐impact healthcare data migration initiative.

About the Role We are seeking a highly skilled HIE Intersystems Consultant with hands‐on experience migrating data from InterSystems to modern cloud data platforms, specifically Snowflake and Databricks. The role focuses on building secure, scalable pipelines to migrate large‐volume datasets (5M+ records), including accurate de‐identification of PHI, ensuring compliance with healthcare privacy standards. You will be a core contributor to BigRio's cloud modernization solutions, working closely with internal stakeholders and client teams.

Key Responsibilities Lead end‐to‐end migration of datasets from InterSystems (Caché/IRIS) to Snowflake and Databricks within BigRio's cloud modernization framework. Build, optimize, and maintain large‐scale ETL pipelines supporting 5M+ records with high performance and reliability. Implement PHI de‐identification and masking processes aligned with HIPAA and BigRio security best practices.

Develop scalable data processing jobs using Databricks (Spark, PySpark, Delta Lake). Integrate data workflows with AWS RDS, Snowflake, and Databricks. Work with BigRio's architecture and AI engineering teams to support analytics, reporting, and ML/GenAI initiatives.

Ensure data quality, monitoring, and validation throughout migration cycles. Maintain documentation of architecture, data lineage, transformation logic, and operational procedures. Collaborate with sill distributed BigRio and client teams across the U.S.

and India. Required Skills & Experience 5+ years as a Data Engineer, with strong cloud engineering experience. Hands‐on expertise with InterSystems (Caché/IRIS) – extraction, schema mapping, transformations.

Strong experience building solutions with Snowflake and cloud‐native data warehousing. Expertise with Databricks, Spark, and PySpark for large‐scale processing. Proven ability to build and optimize ETL pipelines handling 5M+ record volumes.

Strong క్య understanding of PHI de‐identification, HIPAA compliance, and healthcare data workflows. Experience with AWS RDS, SQL, Python, and cloud orchestration tools. Strong foundation in data modeling, performance tuning, and scalable architecture.

Excellent communication skills and comfortable working with global remote teams. Preferred Qualifications Experience with HL7, FHIR, CCD, or healthcare data interoperability. Exposure to dbt, Airflow, Step Functions, or similar orchestration tools.

Experience in healthcare data modernization or cloud migrations. Apply Now. #J-18808-Ljbffr

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