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Adf Data Science Jobs (NOW HIRING)

Virtual Networx

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

DataFrames, Spark SQL,ETL, Databricks, ADF, Azure Data Factory, Job Requirement: Apache Spark ... Al Proficiency Al Proficiency in Databricks /Data science

Walmart

Data Engineer III

Bentonville, AR · On-site

$100K - $120K/yr

Develops knowledge of current data science and analytics trends. Data Modeling:analyzecomplex data ... usingBigQueryor ADF or Redshift; Implementing database schema enhancements and attribute ...

USM Business Systems

ADF/Java Developer

Menlo Park, CA · On-site

$60 - $77.75/hr

Required : • Bachelor's degree in Computer Science or equivalent experience • 1+ years ... data, performance tuning • Experience in understanding large and complex code bases, including ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

... Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Confluent Cloud, Kafka, and Flink ... Qualifications * Bachelor's degree in Computer Science, Information Systems, Data Management ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks ... Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field ...

The Campbell's Company

$115K - $138K/yr

... Data Science, AI/ML, or related field. * Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs. * Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus. * Exposure to ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Collaborate with data scientists analysts and business stakeholders to understand data requirements ... Handson experience with Azure data services ADF Synapse Databricks ADLS and Azure DevOps * Deep ...

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Adf Data Science information

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$24K

$117.1K

$205.5K

How much do adf data science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for adf data science in the United States is $117,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What is an ADF data scientist?

An ADF Data Scientist is a professional who specializes in using Azure Data Factory (ADF) in conjunction with data science techniques to design, build, and manage data pipelines and analytics solutions. They leverage ADF for orchestrating data movement and transformation, and often integrate machine learning models to extract insights from large datasets. These data scientists typically work with cloud-based data sources, automate workflows, and ensure data quality for analytics and business intelligence tasks.

What types of projects do ADF data science professionals typically work on, and how do they collaborate with other teams?

Adf Data Science professionals often work on projects involving data analysis, predictive modeling, and developing machine learning solutions to optimize business processes or inform decision-making. They frequently collaborate with data engineers to ensure data pipelines are robust, as well as with business analysts and product managers to align technical solutions with business goals. Teamwork and cross-functional communication are essential, as many projects require input from multiple stakeholders to ensure data-driven insights are actionable and relevant.

What are the key skills and qualifications needed to thrive as an ADF data scientist, and why are they important?

To thrive as an ADF Data Scientist, you need strong statistical analysis, programming (Python, R, or SQL), and machine learning expertise, usually supported by a degree in data science, computer science, or a related field. Experience with Azure Data Factory (ADF), cloud platforms, and data pipeline orchestration tools is highly valuable. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business decisions. These competencies ensure efficient data processing, accurate analytics, and meaningful contributions to organizational goals.

What are popular job titles related to Adf Data Science jobs?

For Adf Data Science jobs, the most frequently searched job titles are:

Adf Data Science jobs near you
Infographic showing various Adf Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,121 per year, or $56.3 per hour.

Data Engineer - Agentic AI & ML Ops (Co-op)

Camden, NJ • On-site

Campbell Soup Company
See more jobs at Campbell Soup Companyexternal

$115K - $138K/yr

Full-time

Re-posted 3 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Operational Support Data Engineer - Agentic AI & ML Ops (Co-op)
  • We are seeking a motivated and curious Data Engineer - Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
  • You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
  • If you are passionate about data engineering, AI, and automation, we want to hear from you.

Key Responsibilities
  • Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
  • Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
  • Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
  • LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
  • AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
  • Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
  • Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
  • MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
  • Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
  • Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation & Automation: Create runbooks, workflows, and technical documentation.

Learning & Development Opportunities
  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
  • Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
  • Experience working with AI agents, prompt engineering, and workflow orchestration.
  • Mentorship from Data, AI/ML, and Platform Engineers.
  • Experience in Agile/Scrum and DevOps/MLOps environments.

Qualifications
  • Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
  • Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
  • Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
  • Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
  • Experience with Python-based AI/ML projects or notebooks is a plus.
  • Strong analytical and problem-solving skills.
  • Strong communication and teamwork skills.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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