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Dataops Engineer Jobs in North Carolina (NOW HIRING)

Scout Motors Inc.

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/yr

The Senior DataOps Engineer will play a crucial role in building a secure and scalable data platform that enables real-time insights and supports AI-enabled use cases across the organization.

Scout Motors

Senior DataOps Engineer

Charlotte, NC

$119K - $157K/yr

Bachelor's degree in computer science, information technology, or related field or equivalent work experience. * 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive ...

Scout Motors

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/yr

Bachelor's degree in computer science, information technology, or related field or equivalent work experience. * 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive ...

Cyma Systems Inc

Sr. Snowflake Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Define engineering best practices and mentor junior to mid-level engineers. 3. Data Governance & Reliability (DataOps): Implement data observability and quality solutions, maintain data lineage, and ...

CPI Security

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Senior Data Engineer - Data Architecture & Platform CPI Security, a national leader in residential ... DataOps Implementation Enable reliable, scalable, and automated data workflows by implementing ...

CPI Security

Senior Data Engineer

Charlotte, NC

$103K - $140K/yr

Senior Data Engineer - Data Architecture & Platform CPI Security, a national leader in residential ... DataOps Implementation Enable reliable, scalable, and automated data workflows by implementing ...

CPI Security

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Senior Data Engineer - Data Architecture & Platform CPI Security, a national leader in residential ... DataOps Implementation Enable reliable, scalable, and automated data workflows by implementing ...

DPR Construction

MLOps Engineer

Charlotte, NC

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...

DPR Construction

MLOps Engineer

Raleigh, NC

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

... DataOps concepts and operating in cross-functional teams that include data engineering personas. * The measures of success for this role include delivering data pipelines with trusted, quality data ...

The Hartford

Data Engineer

Charlotte, NC

$111K - $134K/yr

Follow and promote software engineering, DataOps, and MLOps best practices. Minimum Requirements * Must be authorized to work in the U.S. now and in the future. * Bachelor's degree in Computer ...

3E

Professional Services Engineer

Durham, NC · On-site

Partner with internal DataOps, product, and support teams to surface platform gaps, feed real-world ... Solid programming ability in Python -- you can write, debug, and maintain scripts that move and ...

3E

Professional Services Engineer

Durham, NC · On-site

Partner with internal DataOps, product, and support teams to surface platform gaps, feed real-world ... Solid programming ability in Python - you can write, debug, and maintain scripts that move and ...

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Dataops Engineer information

See North Carolina salary details

$18

$49

$85

How much do dataops engineer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for dataops engineer in North Carolina is $49.10, according to ZipRecruiter salary data. Most workers in this role earn between $35.50 and $54.09 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Dataops Engineer position, and why are they important?

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a Dataops Engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What is a DataOps Engineer job?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

What are the most commonly searched types of Dataops Engineer jobs in North Carolina? The most popular types of Dataops Engineer jobs in North Carolina are:
What are popular job titles related to Dataops Engineer jobs in North Carolina? For Dataops Engineer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Dataops Engineer jobs in North Carolina look for? The top searched job categories for Dataops Engineer jobs in North Carolina are:
Dataops Engineer jobs near you
Infographic showing various Dataops Engineer job openings in North Carolina as of July 2026, with employment types broken down into 14% Internship, 8% As Needed, 42% Full Time, 7% Part Time, 2% Contract, and 27% Nights. Highlights an 60% Physical, 11% Hybrid, and 29% Remote job distribution, with an average salary of $102,134 per year, or $49.1 per hour.

Senior DataOps Engineer

Scout Motors Inc.

Charlotte, NC • On-site

$102K - $140K/yr

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Scout Motors Inc. is dedicated to carrying forward the heritage of iconic American vehicles while embracing innovation. The Senior DataOps Engineer will play a crucial role in building a secure and scalable data platform that enables real-time insights and supports AI-enabled use cases across the organization.
Responsibilities:
• Contribute to the design, implementation, automation, maintenance, and operational support of enterprise-scale cloud data platforms leveraging Databricks, AWS cloud services, and modern Infrastructure as Code (IaC) practices.
• Lead the design, development, optimization, and operational management of enterprise-scale ETL/ELT pipelines within Databricks.
• Build and maintain scalable batch and streaming data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
• Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and cost efficiency.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.
Qualifications:
Required:
• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models.
• Strong ability to extract actionable insights using ML techniques.
• Ability to leverage ML algorithms for forecasting trends and decision-making.
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
Company:
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. Founded in 2022, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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