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Delta Data Scientist Jobs (NOW HIRING)

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Data Scientist II * Bachelor's Degree in Computer Science, Engineering, or related discipline + 2 ... Modeling (dimensional/star), partitioning, Delta/Parquet, medallion architecture; performance ...

T Rowe Price

AI Data Scientist

Manhattan, NY · Hybrid

At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better ... Hands-on experience with Databricks (Delta Lake, MLflow, Jobs/Workflows) or equivalent Spark ...

Guidehouse

Databricks Data Scientist

Data Science & Analysis, Data Science Consulting Travel Required: None Clearance Required: None ... Work with large-scale datasets using Databricks, Spark, and Delta Lake platforms. * Design reusable ...

Cacheflow

Principal Data Scientist

San Francisco, CA · On-site

Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We ... Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and ...

Guidehouse

Databricks Data Scientist

Data Science & Analysis, Data Science Consulting Travel Required: None Clearance Required: None ... Work with large-scale datasets using Databricks, Spark, and Delta Lakeplatforms. * Design reusable ...

ApTask

Data Scientist

Grand Prairie, TX · On-site

Role: Data Scientist Location: Grand-Prairie, Texas 75050 (Hybrid) Fulltime Must have skills ... and Delta Lake. * Strong SQL and Python proficiency with hands-on experience in medallion ...

T Rowe Price

Senior Data Scientist

Manhattan, NY · Hybrid

Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog ... Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Data Scientist Help Build the Data Behind What's Next ArtiFlex is building a proprietary data ... Delta Lake, AWS (Amazon Web Services), Microsoft Azure, Azure ML/AI, Azure Cognitive Services, SAS ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

We're looking for a Data Scientist to help build and support this evolving data environment. You'll ... Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web ...

Samba

Data Scientist

Warsaw, IN · On-site

As a mid-level Data Scientist at Samba in Warsaw, you will own end-to-end delivery of significant ... Databricks workflows, Delta Lake, and job orchestration; working knowledge of cloud platforms (AWS ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration). * Excellent ... A data scientist who writes clean, production-grade code. * A collaborator who thrives in cross ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We ... Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and ...

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Delta Data Scientist information

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How much do delta data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for delta data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Delta Data Scientist?

A Delta Data Scientist is a professional who specializes in analyzing and interpreting data using the Databricks Delta Lake platform, focusing on big data analytics, data engineering, and machine learning. Their role typically involves designing and implementing data pipelines, performing advanced analytics, and creating predictive models to help organizations make data-driven decisions. They work closely with large-scale datasets, often in cloud environments, and leverage tools such as Apache Spark and Databricks for processing and analysis. Delta Data Scientists also ensure data quality, optimize performance, and collaborate with other data professionals to drive business insights.

What are the key skills and qualifications needed to thrive as a Delta Data Scientist?

To thrive as a Delta Data Scientist, you need strong analytical skills, proficiency in statistics, data modeling, and a solid foundation in programming languages like Python or R, often complemented by a degree in computer science, mathematics, or a related field. Experience with data visualization tools (e.g., Tableau), machine learning frameworks, and familiarity with cloud platforms such as AWS or Azure are typically expected. Excellent problem-solving abilities, effective communication, and collaboration skills enable you to translate data insights into actionable business solutions. These competencies are crucial for extracting value from complex data sets and driving data-driven decision-making within the organization.

How do Delta Data Scientists typically collaborate with other departments within the organization?

Delta Data Scientists frequently work cross-functionally with teams such as engineering, product management, and business operations. Collaboration often involves gathering requirements, validating data sources, and translating business goals into data-driven solutions. Regular meetings, project updates, and joint problem-solving sessions are common, ensuring that analytical insights are closely aligned with organizational objectives. This collaborative environment fosters both learning and innovation, as data scientists gain exposure to diverse perspectives and domain knowledge.

What is the difference between Delta Data Scientist vs Delta Data Analyst?

AspectDelta Data ScientistDelta Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic data skills
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, visualization
Employer & Industry UsageTech companies, finance, healthcare, using advanced analyticsRetail, marketing, business operations, focusing on reporting

Delta Data Scientists focus on building predictive models and advanced analytics, requiring stronger technical skills and often higher education. Delta Data Analysts primarily handle data reporting and visualization, with a focus on interpreting data for business decisions. Both roles are essential but differ in complexity and scope.

What are popular job titles related to Delta Data Scientist jobs?

For Delta Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Delta Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

DATA SCIENTIST

Moncks Corner, SC • On-site

SANTEE COOPER
Utilities • 1 - 5K employees
Learn more about SANTEE COOPERexternal

$84K - $105K/yr

Full-time

Re-posted 19 days ago

Santee Cooper rating

7.4

Company rating: 7.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Position Description:
Leads complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing solutions, and mentor junior staff. You will design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering standards; and engage stakeholders to translate business requirements into robust, secure, and performant data products that power analytics, reporting, and ML workflows.
This position is responsible for architecting and delivering cloud-native data platforms and pipelines that provide reliable, governed, and scalable data to the enterprise. Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices (ETL design, coding standards, security), and builds modular, reusable components for analytics/reporting/ML. The role optimizes throughput, latency, and reliability, establishes SLAs and observability, and mentors engineers to uplift team capability.
Operates with broad autonomy, collaborating with executive and technical stakeholders to translate requirements into engineering specifications, cost-aware architectures, and operational runbooks. Ensures data governance (lineage, catalog, privacy), compliance, and resilience, while driving continuous improvement across performance tuning, incident response, and reliability engineering.
Essential Job Tasks:
  • Architects and develops enterprise-scale cloud data pipelines and warehousing solutions.
  • Leads migration initiatives from legacy platforms to cloud-native data warehouses.
  • Defines and enforces ETL/ELT design standards, coding practices, and security controls.
  • Builds modular, reusable data components for analytics, reporting, and ML feature pipelines.
  • Optimizes pipeline performance (throughput, latency, reliability) and establish SLAs/monitoring.
  • Provides technical leadership and mentor junior engineers; document frameworks and patterns.
  • Engages stakeholders; translate business requirements into engineering specs and roadmaps.
  • Governs data quality, lineage, and cataloging; ensure compliance with privacy/security policies.

*Will consider Data Scientist II or III
Position Requirements:
Data Scientist II
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 2 years experience or Master's Degree in Computer Science, Engineering, or related discipline + 1 year experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Proficient in Python and SQL; Databricks (notebooks/jobs) and Informatica (ETL/ELT).
    • Cloud platforms: Hands on with Azure/AWS/GCP; familiarity with storage, compute, IAM, networking basics.
    • Data warehousing: Modeling (dimensional/star), partitioning, Delta/Parquet, medallion architecture; performance tuning.
    • Orchestration and reliability: Job scheduling, retries, alerting; CI/CD basics for data pipelines.
    • Data governance and quality: Validations, profiling, data contracts, lineage/catalog documentation; adherence to privacy/security policies. Collaboration and delivery: Translate stakeholder requirements; produce clear documentation and reproducible code artifacts; manage SLAs.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$84,180 - $105,210 (min. - mid.)
Data Scientist III
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 5 years experience or master's degree in computer science, Engineering, or related discipline + 3 years experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Advanced Python and SQL; Databricks (Spark, jobs, Delta), Informatica (ETL/ELT).
    • Cloud architecture: Azure/AWS/GCP services for storage/compute/IAM/networking; cost-aware, secure designs.
    • Data warehousing: Dimensional/star modeling, Delta/Parquet, medallion architecture, performance tuning, partitioning/z-ordering.
    • Engineering excellence: CI/CD for data pipelines, environment management (conda/poetry), testing (unit/integration/data tests), observability (logging/metrics/alerts).
    • Data governance and quality: Unity Catalog (or equivalent), lineage, data contracts, DQ checks, privacy/security controls.
    • Leadership and collaboration: Stakeholder management, specification writing, mentoring, documentation of standards and runbooks.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$104,620 - $130,770 (min. - mid.)

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