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Adf Data Science Jobs (NOW HIRING)

Collabera Digital

Data Analyst

Redmond, WA · On-site

$140K - $150K/yr

Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services ... Bachelor's degree in a technical field such as computer science, computer engineering or related ...

Ascentt

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop ... ADF) * Knowledge of Git, CI/CD pipelines, and DevOps best practices * Exposure to Delta Lake ...

Delta Dental Ins.

Data Engineer

Alpharetta, GA

$130K - $196K/yr

Experience with Matillion and ADF (Azure Data Factory). Experience with BI and reporting tools (e.g ... Collaborate with data scientists and analysts to support their data needs, providing efficient ...

New

Delta Dental of California

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Experience with Matillion and ADF (Azure Data Factory). Experience with BI and reporting tools (e.g ... Collaborate with data scientists and analysts to support their data needs, providing efficient ...

New

Delta Dental Plans Association

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Experience with Matillion and ADF (Azure Data Factory). Experience with BI and reporting tools (e.g ... Collaborate with data scientists and analysts to support their data needs, providing efficient ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

You will collaborate with cross-functional teams, including data scientists and business analysts ... Snowflake, MSSQL) and GCP cloud. • Experience with ETL tool such as SSIS, Talend, DataFlow, ADF ...

SysMind Tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... ADF ETL, Data pipelines Behavioral Competencies: Good communication (verbal and written) Experience in managing client stakeholders Qualifications Bachelor's or master's degree in computer science ...

USM

ADF/Java Developer

Menlo Park, CA · On-site

$60 - $77.75/hr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... in Computer Science or equivalent experience 1+ years experience building production quality ...

AmeriSave Mortgage Corp.

$100K - $136K/yr

Collaborate with data scientists, software developers, business intelligence teams, and ... Proficiency with pipeline development and configuration using Azure Data Factory (ADF). * Working ...

AmeriSave Mortgage Corp.

$98K - $133K/yr

Collaborate with data scientists, software developers, business intelligence teams, and ... Proficiency with pipeline development and configuration using Azure Data Factory (ADF). * Working ...

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

Collaborate with Data Scientists, Business Analysts, and Software Engineers. * Implement CI/CD ... Microsoft Azure (ADF, ADLS, Synapse) * Amazon Web Services (AWS) * Google Cloud Platform (GCP ...

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All JobsAdf Data Science Jobs

Adf Data Science information

See salary details

$24K

$117.1K

$205.5K

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.

Sr Data Tech Lead - Trading and Supply Freight Data Platform

Engineers and Constructors International Inc

Houston, TX • On-site

Contractor

Re-posted 8 days ago

Job description

Join the ECI Group's Professional Technical Services Network as a contract Sr Data Tech Lead - Trading and Supply Freight Data Platform. This is a Houston based contract role with an anticipated 6-month duration with an estimated start date of July 1st. Note: You must be a US Citizen or Permanent US Resident to qualify for this position.
About the Role
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.
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
Please Note: The ECI Group uses AI-assisted tools in the early stages of application review, with all decisions guided by human oversight and fully compliant with General Data Protection Regulation (GDPR) and ECI Group's applicable data protection policies and Privacy Notice.

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