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Data Engineer Ml Jobs in Lancaster, SC (NOW HIRING)

Euclid Innovations

Senior Data Engineer

Fort Mill, SC · On-site

$99K - $134K/yr

... ML data pipeline readiness • Azure data platform exposure (ADF, Synapse, Data Lake) Company ... DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 ...

Sunbelt Rentals

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Define and enforce data engineering best practices, including pipeline design patterns, data ... ML requirements * Troubleshoot production pipeline failures and drive root cause analysis and ...

New

Sunbelt Rentals

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Define and enforce data engineering best practices, including pipeline design patterns, data ... ML requirements * Troubleshoot production pipeline failures and drive root cause analysis and ...

New

Sunbelt Rentals

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Define and enforce data engineering best practices, including pipeline design patterns, data ... ML requirements * Troubleshoot production pipeline failures and drive root cause analysis and ...

New

Cerebra Consulting Inc

AI Engineer

Fort Mill, SC · On-site

AI Engineer Location: Remote, but cannot sit in California, Illinois, New York or New Jersey ... Design and implement scalable and efficient ML Ops pipelines for large volumes of data.

Apex Systems

AI Engineer

Fort Mill, SC · On-site

Stay current with the latest data platform and AI/ML tools, techniques, and industry trends. Required Qualifications Education: A Bachelor's Degree in Engineering, Computer Science, or a similar ...

Apex Systems

AI Engineer

Fort Mill, SC · On-site

$75 - $85/hr

Stay current with the latest data platform and AI/ML tools, techniques, and industry trends. Required Qualifications Education: A Bachelor's Degree in Engineering, Computer Science, or a similar ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... How have you used SQL in your machine learning or data science work? * Which ML frameworks have you ...

1 point system

GenAI Product Engineering Lead

Rock Hill, SC · On-site

$85K - $112K/yr

Full stack engineering background with focus on application development (not data science) and solid CI/CD practices * 10+ years in AI/ML, including 5 to 7 years leading engineering teams and ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Lancaster, SC

Data Engineer Ml information

See Lancaster, SC salary details

$39.2K

$140.7K

$207.7K

How much do data engineer ml jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer ml in Lancaster, SC is $140,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $145,000.00 per year, depending on experience, location, and employer.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What job categories do people searching Data Engineer Ml jobs in Lancaster, SC look for?

The top searched job categories for Data Engineer Ml jobs in Lancaster, SC are:

What cities near Lancaster, SC are hiring for Data Engineer Ml jobs?

Cities near Lancaster, SC with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Lancaster, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $140,738 per year, or $67.7 per hour.

Senior Data Engineer

Euclid Innovations

Fort Mill, SC • On-site

$99K - $134K/yr

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Euclid Innovations is seeking an experienced Data Engineer to design, build, and enhance data ingestion pipelines and metadata frameworks. The ideal candidate will work in a dynamic, cloud-centric data environment, focusing on data lineage, modernization, and analytics enablement.
Responsibilities:
• Design, develop, and maintain data ingestion and ETL pipelines for metadata integration across systems like SQL Server, Informatica, AWS Glue, and Azure Data Factory.
• Implement end-to-end data lineage tracing, including source-to-target mapping, column-level lineage, and job dependency tracking.
• Automate metadata ingestion and transformation for lineage reporting and quality validation.
• Identify static, orphaned, or unused tables/jobs and contribute to data-quality improvement.
• Collaborate with data architects, analysts, and AI strategist to align metadata ingestion with modernization goals.
• Participate in the deployment and hardening of solutions in AWS (and Azure as applicable).
• Contribute to modernization and AI-readiness initiatives through metadata standardization and automation.
Qualifications:
Required:
• 8–10 years of experience in Data Engineering / ETL Development
• Strong experience with AWS Glue, S3, Redshift, Lambda
• Strong experience with SQL (SQL Server, Oracle, or Snowflake) – complex queries, stored procedures, performance tuning
• Strong experience with Python / PySpark for metadata parsing and ETL automation
• Strong experience with ETL Tools: Informatica, AWS Glue, Azure Data Factory
• Strong experience with Data Lineage / Metadata Management: Collibra, Alation, or custom lineage repositories
• Strong experience with CI/CD & Orchestration: GitHub, Jenkins, or Azure DevOps
Preferred:
• Experience with BladeBridge or similar lineage analysis tools
• Familiarity with Client Batch Processing
• Exposure to Airflow, dbt, or Databricks for orchestration and transformation
• Basic understanding of AI/ML data pipeline readiness
• Azure data platform exposure (ADF, Synapse, Data Lake)
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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