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

MatchPoint Solutions

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment ...

Circle K

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel ... Join our Global Data Engineering, Architecture and Enablement team and help build the foundation ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN · On-site

$84K - $115K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN · On-site

$84K - $115K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN

$84K - $115K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN · On-site

$84K - $115K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN

$77K - $106K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN · On-site

$84K - $115K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

Cummins

Manufacturing Engineer - Senior

Columbus, IN · On-site

$88K - $132K/yr

We are looking for a talented Manufacturing Engineer - Senior to join our team specializing in ... Implement advanced manufacturing solutions through data-driven analysis, simulation tools, and ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Columbus, IN

Sr Data Engineer information

See Columbus, IN salary details

$75.4K

$117.6K

$162.9K

How much do sr data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sr data engineer in Columbus, IN is $117,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $134,100.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Columbus, IN?

For Sr Data Engineer jobs in Columbus, IN, the most frequently searched job titles are:

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

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

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Columbus, IN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,493 per year, or $56.5 per hour.

Senior Data Scientist

MatchPoint Solutions

Columbus, IN • On-site

$80K - $90K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Job Title: Senior Data Scientist
Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN
Employment Type: (Full-time / Part-time / Contract) Contract/ FTE
Pay Range: 80,000-90,000
Responsibilities:
Design and Develop Advanced Data Models: Design, develop, and deploy advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
• Predictive Modeling: Develop and deploy predictive models using machine learning frameworks like scikit-learn,
TensorFlow, or PyTorch to forecast business outcomes.
• Data Analysis and Interpretation: Analyze large datasets to identify trends, patterns, and correlations, and interpret
findings to inform business decisions.
• Code Quality and Maintainability: Develop and maintain high quality, maintainable code using object-oriented
programming principles, ensuring scalability, efficiency, and reliability.
• Data Visualization and Storytelling: Develop and maintain data visualizations and dashboards to communicate insights and findings to business stakeholders using tools like Tableau, AWS Quicksight, Power BI, or D3.js or others
depending on the requirement of the customer.
• Communication and Collaboration: Collaborate with cross functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects, ensuring alignment with business objectives and technical requirements.
Requirements:
Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related fields.
• 5+ years of experience in data science, or related fields.
• Strong expertise in machine learning & deep learning frameworks like scikit-learn, TensorFlow, or PyTorch.
• Very good proficiency in SQL,Python, Pyspark for data science and ML.
• Statistics & Math: Strong foundation in probability, statistical analysis, and optimization techniques.
Problem-Solving:
Ability to work on complex business challenges and translate data insights into actionable
solutions.
• Experience with cloud-based data management (AWS, GCP, Azure).
• Strong understanding of data architecture, data modeling, and data governance.
• Experience in Predictive maintanance, time series forecasting and anomaly detection.
• Hands-on knowledge of data visualization tools like Tableau, Power BI, or D3.js.
• Strong communication and collaboration skills, with experience working in cross-functional teams.
• Experience with Agile development methodologies and version control systems (e.g., Git).
• Good to have experience in automotive domain.
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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