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Data Engineer Data Analyst Jobs in Columbus, IN (NOW HIRING)

CYNET SYSTEMS

Data Analyst

Columbus, IN · On-site

$32 - $37/hr

... data validation and analysis. * Support initiatives to reduce manual Excel-based processes and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

MatchPoint Solutions

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

Collaborate with cross functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects ...

Circle K

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

The person in this role will lead a team of data architects and modelers while partnering with engineering, analytics, governance, platform, and business teams to deliver scalable, reusable, and ...

USM

Data Scientist

Columbus, IN · On-site

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Participate in pre-sales discussions by presenting on analytics service offering and technology ...

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Showing results 1-20

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Columbus, IN

Data Engineer Data Analyst information

See Columbus, IN salary details

$31.6K

$76.9K

$126.5K

How much do data engineer data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data engineer data analyst in Columbus, IN is $76,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Columbus, IN look for?

The top searched job categories for Data Engineer Data Analyst jobs in Columbus, IN are:

What cities near Columbus, IN are hiring for Data Engineer Data Analyst jobs?

Cities near Columbus, IN with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Columbus, IN as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $76,860 per year, or $37 per hour.

Data Analyst

CYNET SYSTEMS

Columbus, IN • On-site

$32 - $37/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

Job Overview:

Pay Range: $32.03hr - $37.03hr

Requirement/Must Have:

  • Strong Power BI and data modeling experience.
  • Working knowledge of SQL, data integration, and reporting processes.
  • Experience supporting data quality, governance, or master data initiatives.
  • Strong communication and stakeholder management skills.
  • Ability to work independently and manage multiple priorities.

Responsibilities:

  • Support the United Way active campaign operational tasks including data organization, validation, processing, collaborate with vendor and internal teams, generate reports for funds disbursement and matching program.
  • Support transition and migration of employee donations program into third party application, including historical data validation and analysis.
  • Support initiatives to reduce manual Excel-based processes and improve data automation.
  • Manage Power BI for reporting development, updates, enhancements, and stakeholder requests.
  • Support master data improvements, including collaboration with IT, regional teams and integration with existing data models.
  • Assist with data governance and access management for reporting models and data lake assets.

Nice to Have:

  • Experience with philanthropy, giving, pledging, or grants-related platforms.
  • Familiarity with HR data, enterprise data lakes, or cloud-based data environments.
  • Experience working with cross-functional or global teams.

Skills:

  • Power BI.
  • Data Modeling.
  • SQL.
  • Data Integration.
  • Reporting Processes.
  • Data Quality.
  • Data Governance.
  • Master Data.

Qualification And Education:

  • Reliable and timely reporting updates.
  • Improved data quality and consistency.
  • Successful support of third-party transition activities.
  • Reduced reliance on manual reporting processes.
  • Strong stakeholder collaboration and issue resolution.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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