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Manager Data Analytics Engineer Jobs in Elgin, SC

Infojini Inc

Data Architect

Columbia, SC

$59 - $75.75/hr

... PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) KNOWLEDGE OF STATISTICS AND EXPERIENCE USING ... ANALYSTS, DATA MODELERS, SOLUTION ARCHITECTS, DBA'S AND PROJECT MANAGERS DURING ALL SDLC PHASES ...

Pwc

AI Engineer

Columbia, SC · On-site

$50K - $112K/yr

... data analysis techniques to discern patterns and trends - Collaborating with team members to ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

Pwc

NGA AI Engineer Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

... management. Responsibilities : • Proven working experience as a data analyst or business data ... SQL etc), programming (xml, Javascript, or ETL frameworks) • Knowledge of statistics and ...

Infojini Inc

Data Architect

Columbia, SC

$59 - $75.75/hr

... analysts, data modelers, solution architects, dba's and project managers during all SDLC phases ... programming (xml, Javascript, or ETL frameworks) Knowledge of statistics and experience using ...

Ourhrconnect

Data Analyst I

Columbia, SC · On-site

Maintains databases and extracts data for analysis. Runs and reviews reports, analyzing results in ... Some developer knowledge/experience with Dynamics 365 CRM and Power Apps. What We Can Do for You:

Ra

Marketing Analytics Senior Manager

Columbia, SC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

GreenGas

Logistics Engineer

Lugoff, SC · On-site

$90 - $130/hr

Position Summary We are seeking a data-driven and analytical Trucking Logistics Engineer to design ... Vendor & Carrier Management: Collaborate with third‑party logistics (3PL) providers and ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Elgin, SC

Manager Data Analytics Engineer information

See Elgin, SC salary details

$39.8K

$116K

$158.8K

How much do manager data analytics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Elgin, SC is $116,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $123,000.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

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

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

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Elgin, SC as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $116,020 per year, or $55.8 per hour.

Managed Services - Data Engineer - Experienced Associate

Pwc

Columbia, SC • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will apply a learning mindset and take ownership of your development, appreciating diverse perspectives and adopting habits to sustain performance. You will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This position offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build a brand for yourself and open doors to more opportunities.
Responsibilities
- Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
- Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
- Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
- Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
- Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
- Engaging in continuous process improvement to enhance data quality and integrity
- Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
- Participating in the development of business cases and market development strategies through data analysis and interpretation
- Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Python and Java programming languages
- Utilizing data visualization tools like QlikView and Spotfire
- Developing business intelligence solutions using Oracle BI
- Engaging in data architecture development and management
- Applying macroeconomic and microeconomic analysis skills
- Excelling in data analysis and interpretation techniques

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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