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Data Engineer Manager Jobs in Anderson, SC (NOW HIRING)

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

... P/CRM). * Sharp eye for finding outliers, errors, and unusual patterns in structured and ... Experience working with Data Engineers to ensure data requirements are correctly implemented at ...

Global Lending Services

Data Developer

Greenville, SC · On-site

As a Data Developer, you will be responsible for building fast, reliable, transparent, and scalable ... Proficient knowledge of relational database management systems required * Experience reviewing ...

Global Lending Services

Data Developer

Greenville, SC · On-site

As a Data Developer, you will be responsible for building fast, reliable, transparent, and scalable ... Proficient knowledge of relational database management systems required * Experience reviewing ...

World Finance

Senior Analytics Engineer

Greenville, SC · On-site

$98K - $134K/yr

We're adding a dedicated engineer to our Operations Analytics team to close a specific gap: the ... Familiarity with data catalog / lineage and cost-management practices on Snowflake. * A habit of ...

Metromont LLC

Design Engineer

Greenville, SC · On-site

Design Engineer JOB DATA Department Code: 807X Account Code: 701000 Department Name: Engineering ... Independently manage engineering design aspects of a project with minimal assistance or guidance

Vertiv Group Corp.

Project Engineer

Anderson, SC · On-site

Electrical Engineering Manager Direct Reports: None Position Summary Vertiv is seeking a Project Engineer to support high-impact data center projects with a focus on low-voltage (LV) power ...

Vertiv Co

Project Engineer

Anderson, SC

Electrical Engineering Manager Direct Reports: None Position Summary Vertiv is seeking a Project Engineer to support high-impact data center projects with a focus on low-voltage (LV) power ...

SNAP Diagnostics

IT BI Manager

Anderson, SC

The IT BI Manager is a senior, full-stack member of the Data Analytics & Information Engineering (DAIE) team, responsible for reporting, analytics, and AI-enabled solutions across TTI's business ...

Techtronic Industries (TTI)

IT BI Manager

Anderson, SC · On-site

The IT BI Manager is a senior, full-stack member of the Data Analytics & Information Engineering (DAIE) team, responsible for reporting, analytics, and AI-enabled solutions across TTI's business ...

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Data Engineer Manager information

See Anderson, SC salary details

$40.7K

$118.7K

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How much do data engineer manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer manager in Anderson, SC is $118,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,900.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Anderson, SC?

The most popular types of Data Engineer jobs in Anderson, SC are:

What are popular job titles related to Data Engineer Manager jobs in Anderson, SC?

For Data Engineer Manager jobs in Anderson, SC, the most frequently searched job titles are:

What cities near Anderson, SC are hiring for Data Engineer Manager jobs?

Cities near Anderson, SC with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you

Data & Analytics Developer

West Coast Logistics

Greenville, SC • On-site

$47 - $53/hr

Contractor

Re-posted 7 days ago

Key responsibilities

  • Analyze data from enterprise systems to identify patterns, gaps, and improvement opportunities

  • Develop and validate machine learning models for forecasting and scenario modeling

  • Build and maintain Python-based data pipelines for ETL, model training, and automated workflows

Job description

CLIENT HIGHLIGHT
The client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.

LOCATION
Greenville, South Carolina, 29615

COMPENSATION
$47-53 per hour, full benefits offered

SCHEDULE
Hybrid; local candidates
Standard Hours: 40 hours per week

CONTRACT TERM
1 year with high likelihood of extension or conversion

POSITION OVERVIEW
The Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.

RESPONSIBILITIES
Data Analysis & Intelligence
  • Analyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities
  • Work with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used
  • Transform large structured/unstructured datasets (100k+ rows) into actionable insights
  • Conduct data quality checks and resolve data defects across enterprise platforms
AI/ML Model Development & Deployment
  • Develop and validate machine learning models supporting demand forecasting and scenario modeling
  • Document analytical findings, model performance, and data definitions for transparency and reproducibility
  • Build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers
  • Translate business data challenges into concrete data science and AI/ML problem statements
  • Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows
Scenario Planning & Project Execution Analytics
  • Design and execute scenario planning models to test business assumptions and evaluate what-if outcomes
  • Track project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance
  • Support variance analysis between planned assumptions and actual execution to identify gaps and trends
  • Build automated tracking solutions monitoring assumption validity through project lifecycle stages
  • Collaborate with Program Managers to refine planning assumptions based on execution learnings
  • Provide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment
Existing Data Ecosystem & Optimization
  • Review existing dashboards, models, and data pipelines to understand design patterns and data flows
  • Read and interpret SQL queries and business logic embedded in current reports and analytical systems
  • Identify opportunities to optimize or consolidate existing reporting and modeling assets
  • Maintain consistency with established data standards and best practices
Business Stakeholder Collaboration & Continuous Improvement
  • Translate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences
  • Support centralized, KPI-based reporting solutions for business stakeholders across global business lines
  • Collaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level
  • Stay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions
REQUIREMENTS
  • Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
  • Strong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.
  • Experience with statistical modeling, scenario/what-if analysis, and model validation.
  • Familiarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.
  • Strong communication skills and ability to work across international, multicultural teams.