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Dataops Engineer Jobs (NOW HIRING)

Tata Consultancy Services

Data Engineer Lead

Plano, TX · On-site

$98K - $130K/yr

... DataOps practices. Qualifications : Required : • Snowflake • DBT • Design and build data ... engineering delivery • Ability to balance hands-on work with team leadership • Gather and ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Implement DataOps practices to ensure continuous integration and delivery of data pipelines ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Leverage tools for DataOps (CI/CD) Requirements * Bachelor's degree in Computer Science, Data ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Implement DataOps practices to ensure continuous integration and delivery of data pipelines ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Implement DataOps practices to ensure continuous integration and delivery of data pipelines ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Ascend Learning

Data Architect

Leawood, KS · On-site

$62 - $79.75/hr

Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows. Drive Data Strategy and Collaboration * Partner with business and technical stakeholders to define ...

Flight Centre Travel Group (usa) Inc

$97K - $117K/yr

Lead all data engineering and DataOps operations, ensuring delivery on time, within budget and to the required standard * Build fast, robust and efficient data pipelines on Databricks across both ...

Omega Hires

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Mentor junior engineers on a lean team while personally implementing the solutions you design ... Strong experience with CI/CD & DataOps (pipeline automation, deployment). *Tools/Software:

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

Understanding of DataOps Engineering Life at Mactores We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor ...

Peloton

Data Engineering Manager

New York, NY · On-site

$173K - $213K/yr

Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements * Manage and mentor offshore engineering resources, providing ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

Understanding of DataOps Engineering Life at Mactores We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor ...

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Dataops Engineer information

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How much do dataops engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for dataops engineer in the United States is $63.50, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $69.95 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.

More about Dataops Engineer jobs
What cities are hiring for Dataops Engineer jobs? Cities with the most Dataops Engineer job openings:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
What states have the most Dataops Engineer jobs? States with the most job openings for Dataops Engineer jobs include:
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Dataops Engineer jobs near you
Infographic showing various Dataops Engineer job openings in the United States as of July 2026, with employment types broken down into 13% As Needed, 42% Full Time, 2% Contract, 42% Nights, and 1% Summer. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $132,084 per year, or $63.5 per hour.

Data Engineer

Texas State Library and Archives Commision

Mclean, VA • On-site

$116K - $139K/yr

Full-time

Posted 23 days ago

Job description

Data Engineer for developing and maintaining ETL solutions to drive clinical
operations, advanced analytics, and machine learning models. This position will work
collaboratively with the technology team to support our clinical, operational, and
finance teams to integrate data from diverse sources for consumption by internal and
external stakeholders
Responsibilities:
• Responsible for the development, testing, maintenance, and optimization of
cloud-native data and ETL solutions.
• Work on small to mid-sized and cross-functional IT and business intelligence
solutions.
• Participate in the workstream planning process including inception,
requirements gathering, technical design, development, testing and delivery of
ETL solutions.
• Collaborate with Analytics & Reporting, Data Science, Machine Learning,
Analytics Engineering, IT Infrastructure, and other Technology teams in
solution design, development, and deployment.
• Practice business guidelines to protect PHI and ensure secure communication
channels for transfer of such data.
• Exercise best practice Agile communication and documentation through
channels like JIRA, Confluence
• Follow DevOps/DataOps best practices throughout software development
lifecycle (SDLC).
Qualifications
• Bachelor's degree in Computer Science, Information Technology, Engineering,
Mathematics, or equivalent.
• 2 - 5 years professional experience in Data Engineering (or similar) role
• Experience in designing and implementing data applications and data
architectures.
• Experience with open-source data frameworks like Spark and/or experience
with cloud data platforms is preferred.
• Healthcare experience in a Payer or Provider/Hospital Organization preferred.
• Experience in Azure data technologies is a bonus (Azure Data Factory,
Synapse, Cosmos DB, Azure SQL).
• Experience with DevOps/DataOps practices is a bonus.
• Experience or familiar with Agile or a similar process.
• Experience in implementing ELT and ETL solutions.
Knowledge, Skills, and Abilities:
• Experience with at least one database/data warehouse solution (e.g., MySQL,
MSSQL, Synapse, Snowflake, RedShift).
• Strong coding proficiency in at least one programming language (preferably
Python)
• Experience using industry standard Python libraries for data exploration,
analysis, and transformation (e.g., Pandas, Numpy, etc.)
• Experience using REST APIs
• Proficient in writing SQL Code for SQL queries, views, stored procedures,
etc.
• Experience working with data housed in file formats including TXT, CSV,
JSON, YAML, Parquet, XLSX
• Problem-solving aptitude and critical thinking skills
• Excellent communication and presentation skills

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