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Adf Data Science Jobs (NOW HIRING)

Andor Tech Inc.

Senior Data Tech Lead

Houston, TX · On-site

Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT ... Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.

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 ...

Everest Insurance

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Bachelor's degree in computer science, engineering, or business * 10+ years' experience in ... Proficient use of the Azure technology stack (ADF, Data Bricks), techniques, and manipulation ...

Everest Re Group

AVP, Data Engineering

Warren, NJ · Hybrid

$118K - $142K/yr

Bachelor's degree in computer science, engineering, or business * 10+ years' experience in ... Proficient use of the Azure technology stack (ADF, Data Bricks), techniques, and manipulation ...

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 ...

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 ...

Smart Bot Systems

Senior Data Engineer

Plano, TX · On-site

$130K - $135K/yr

Collaborate with cross-functional teams (Data Science, BI, Product) * Write clean, reusable code ... Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.) Nice to Have:

Nissan Motor Manufacturing UK

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

Collaborate with Data Scientists and BI teams * Support MLOps and analytics workloads * Document AI ... Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow, dbt)

Nissan Motor Co., Ltd.

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

Collaborate with Data Scientists and BI teams * Support MLOps and analytics workloads * Document AI ... Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow, dbt)

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

... Scientists, and business stakeholders to deliver enterprise-scale data solutions Required ... Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business ... Experience with ETL tool such as SSIS, Talend, DataFlow, ADF or AWS Glue required. Experience ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$162K - $172K/yr

... Azure Data Factory (ADF) and related Azure services. • Develop analytical solutions and ... science, computer engineering or related field required • 5+ years of applicable experience ...

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Adf Data Science information

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$24K

$117.1K

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How much do adf data science jobs pay per year?

As of Aug 21, 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.
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.

Senior Data Tech Lead

Andor Tech Inc.

Houston, TX • On-site

Other

Posted 25 days ago

Job description

< class="blue">JOB DESCRIPTION

As a Data Tech Lead, you will provide end-to-end leadership across architecture, engineering, governance, and capability development.

You will:

  • Deliver sustainable and innovative solutions to unlock value from data.
  • Lead the architecture, Design and implementation of on-premises/cloud-based application development and Data solutions.
  • Engage cross-functional teams to support project stakeholders in delivering data scope and operational excellence.
  • Drive governance, metadata management, Data Modelling, cost optimization, high-volume performance tuning and agility in delivery.
  • Engage effectively with senior leadership, resolve conflicts proactively, and represent the data organization with confidence and clarity.

Key Responsibilities

Leadership & Strategy

  • Drive the architecture, design, and delivery of Data ecosystems for futuristic data platform.
  • Define data product roadmaps and drive development of data solution using approved tech stack and related technologies.
  • Align data engineering initiatives with long-term business and technology strategies.
  • Provide technical leadership to ensure adherence to best practices, standards, and quality expectations.

Technical Oversight

  • Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign.
  • Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT, and Structured Streaming to enable high‑performance data delivery.
  • OLTP schema design, normalization, indexing strategy, Performance tuning for transactional systems
  • Transaction management, concurrency, deadlocks
  • PostgreSQL, MySQL, SQL Server expertise (depending on Shell standards)
  • Optimize Databricks workloads with a strong focus on performance and cost efficiency.
  • Implement robust security, governance, lineage, and metadata controls using Unity Catalog.
  • Troubleshoot pipeline issues, ensure high data quality, and enforce SLA compliance.

Governance & Quality Assurance

  • Establish data governance frameworks covering security, privacy, quality, and lifecycle management.
  • Monitor pipeline performance and lead root cause analysis for data and process issues.
  • Drive CI/CD and touchless change management frameworks to enable seamless deployments.

4. Stakeholder Management

  • Collaborate closely with PMs, BAs, Data Scientists, Architects, and business stakeholders.
  • Translate complex technical concepts into business terms for executive audiences.
  • Resolve conflicts and ensure alignment across strategic priorities.
  • Stakeholder management & executive communication

Required Skills & Experience

Technical Expertise

  • 12–17 years of experience in data engineering, data architecture, or analytics platforms.
  • Deep expertise in:
    • Azure Data Engineering (ADF, ADLS, Databricks, , DLT), AZURE Function, SQL, REST/FAST API, LogicApps
    • Databricks Delta Live Tables & Structured Streaming
    • Unity Catalog governance and lineage
  • Strong hands-on skills in SQL, Python, Spark/Scala.
  • Strong experience in data modeling, data architecture, and metadata management.
  • CI/CD for application delivery (Azure DevOps/GitHub Actions)
  • Containerization (Docker), Kubernetes basics
  • API gateway, reverse proxies, load balancing
  • Solution Data Architecture,  Data Modeling tools like SAP PowerDesigner, BiZ Design

AI & Future-Ready Skills

  • Working knowledge of AI/ML, GenAI, Agentic AI, and applying AI for data engineering automation.
  • Ability to envision and build future-ready, scalable data ecosystems.

Soft Skills / Leadership Competencies

  • Proven ability to lead mid-sized to large technical teams.
  • Strong decision-making capabilities backed by data.
  • Exceptional communication and executive presentation skills.
  • Conflict management and stakeholder alignment experience.
  • High accountability, ownership, and ability to drive independent outcomes.
  • Adaptability and continuous learning mindset.

Nice to Have

  • Experience with Kafka, Hadoop, Spark Streaming.
  • Experience with workflow tools like Airflow, Azkaban, Luigi.
  • Knowledge of PowerBI/QlikSense visualizations.
  • Certifications in Azure Data Engineer, Databricks, AI/ML, or Data Science.
  • Experience with GitHub/Azure DevOps, CI/CD, Agile/Kanban methodologies.
  • Understanding of Freight Domain like Voyage Management, Chartering, Freight Pricing, Demurrage, Laytime, Port calls, Vessel scheduling
  • Integration with RightAngle, Endur, Veson IMOS or internal Shell Freight systems
  • Knowledge of T&S business processes

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