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Senior Dataops Engineer Jobs (NOW HIRING)

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 ...

MDAEdge

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data ... The role involves collaborating with cross-functional teams, implementing DataOps principles, and ...

Orion180

Sr. Data Engineer

Irving, TX · On-site

$109K - $132K/yr

We are actively recruiting for a Sr. Data Engineer to join our growing team! We believe analytics ... DataOps & Automation * Establish robust CI/CD deployment pipelines for all data assets using Azure ...

Guild

Sr IT QA Data Quality Analyst

$82K - $130K/yr

The Sr. IT QA Data Quality Analyst partners cross-functionally with Data Engineering, DataOps, BI Engineering, Product, Business Analysts, UAT teams, vendors, end users, and Project Management to ...

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Senior Dataops Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior dataops engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior dataops engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a senior DataOps engineer?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.

What are some common challenges a senior DataOps engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

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

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

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What cities are hiring for Senior Dataops Engineer jobs?

Cities with the most Senior Dataops Engineer job openings:

What are the most commonly searched types of Dataops Engineer jobs?

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What states have the most Senior Dataops Engineer jobs?

States with the most job openings for Senior Dataops Engineer jobs include:

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Senior Dataops Engineer jobs near you
Infographic showing various Senior Dataops Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr Data Developer

NAVA Software Solutions

Houston, TX • On-site

Full-time

Re-posted 7 days ago

Job description

NAVA Software solutions is looking for a Sr. Data Developer
Details:
Senior Data Developer
Location: Houston TX - 2 days/week hybrid
Type: Full time/Direct Hire
As the Senior Data Developer, you will:
  • Implement and maintain consistently available database systems
  • Develop and maintain data models using DBT, data flow diagrams, and system architecture
  • Collaborate with stakeholders and Data Architect to understand business requirements and translate them into scalable, efficient, and secure data and system solutions
  • Work with Integration and Analytic resources to define data models to support integrations and analytics
  • Leverage tools for DataOps (CI/CD)

Requirements
  • Bachelor's degree in Computer Science, Data Science, or related field
  • 8+ years of work experience; 10+ years of experience in related work if no degree
  • A Master's Degree may substitute two (2) years' of work experience
  • Proficient in SQL, DBT, and ELT/ETL processes
  • Creating and maintaining Stored Procedures
  • Highly experienced in Snowflake
  • Ability to perform data analysis, identify source data issues, and provide written recommendations for data quality
  • Capable of translating business requirements into technical solutions
  • Strong knowledge of data integration, data warehousing, data governance best practices, and security controls
  • Ability to work independently and as a part of a collaborative team to translate tasks into deliverables
  • Effective at designing and implementing solutions that meet scalability and performance requirements

Preferred Skills
  • Experience with BI reporting tools such as Tabluea or PowerBI (Sigma Computing preferred)
  • Experience working with Python to perform data analysis, data transformations, and data cleansing
  • DataOps experience (Team utilizes DataOps.Live platform)

Experience
  • SQL: 8 Years (Required)
  • Snowflake: 4 Years (Required)
  • Python: 5 years (Preferred)
  • BI Tools (Sigma Computing, Tableau, Power BI, etc): 4 Years (Preferred)
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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