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Senior Dataops Engineer Jobs (NOW HIRING)

Pearson Education

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Senior Data Engineer (API & Platform Integration) Key Responsibilities Platform & Data Engineering ... Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ...

Pearson

Senior Software Engineer

Hoboken, NJ

$120K - $140K/yr

Senior Data Engineer (API & Platform Integration) Key Responsibilities Platform & Data Engineering ... Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ...

Stellus RX

Senior Integration Engineer

Plano, TX · On-site

The Senior Integration Engineer for Stellus Rx will help our communities thrive as a key member of ... DataOps principles * Utilize IT documents, charts, and drawings as tools to enhance, document, and ...

Lancesoft

Senior Full Stack Engineer

Reston, VA · On-site +1

$75 - $85/hr

Senior Full Stack Software Engineer Mode: Temp to Hire Location: Remote (need to work in core EST ... Experience setting up a DataOps Meet Your Recruiter Chahat Mehta

Lorven Technologies

Cloud Engineer

Denver, CO · On-site

$57.25 - $76.75/hr

Denver, CO - Hybrid Duration: 12 Months Contract Senior Operations & Data Engineer (Informatica ... Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader ...

NextData

Senior Sales Engineer

San Francisco, CA · On-site

About the Role We're hiring a Senior Sales Engineer to lead the technical side of our sales motion ... Experience with AI/ML platforms , MLOps, DataOps or developer platforms * Cloud and data ...

Pearson

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Senior Data Engineer (API & Platform Integration) Key Responsibilities Platform & Data Engineering ... Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Kion Group AG

Senior AI Context Engineer

Atlanta, GA · On-site

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Kiongroup

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Kiongroup

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

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Senior Dataops Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior dataops engineer jobs pay per year?

As of Jul 11, 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 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.

What are Senior DataOps Engineers?

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.
More about Senior Dataops Engineer jobs
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? The most popular types of Dataops Engineer jobs are:
What states have the most Senior Dataops Engineer jobs? States with the most job openings for Senior Dataops Engineer jobs include:
What job categories do people searching Senior Dataops Engineer jobs look for? The top searched job categories for Senior Dataops Engineer jobs are:
Senior Dataops Engineer jobs near you
Infographic showing various Senior Dataops Engineer job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 12% As Needed, 39% Full Time, 2% Contract, 39% Nights, and 1% Summer. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Software Engineer

Senior Software Engineer

Pearson Education

Hoboken, NJ • On-site

$120K - $140K/yr

Full-time

Re-posted 6 days ago

Job description


Senior Data Engineer (API & Platform Integration)
Key Responsibilities
Platform & Data Engineering
  • Design, build, and maintain cloud-native data pipelines and platforms supporting PLS and IAR use cases (e.g., learner activity, assessments, recommendations, analytics).
  • Own end-to-end data workflows across ingestion, transformation, storage, and serving layers.
  • Develop scalable batch and streaming pipelines that meet performance, reliability, and data-quality expectations.
  • Contribute to data modeling standards that support downstream analytics, ML, and reporting needs.

Reliability, Quality & Security
  • Ensure data quality, observability, and pipeline reliability through monitoring, automated validation, and alerting.
  • Apply Pearson's data security, privacy, and retention standards in all platform designs.
  • Support production incident analysis, root-cause identification, and long-term remediation.

Collaboration & Leadership
  • Collaborate with product managers, analytics engineers, data scientists, and platform teams to align data solutions to business goals.
  • Act as a technical mentor for junior engineers, setting best practices for data engineering and platform development.
  • Provide technical input into architectural decisions, roadmap planning, and platform modernization initiatives.

Continuous Improvement
  • Drive continuous improvement in tooling, frameworks, and engineering practices within the PLS / IAR data platform.
  • Evaluate emerging technologies and patterns to evolve Pearson's data ecosystem responsibly.

Required Skills & Proficiencies
Pearson Power Skills (Core)
  • Collaboration and cross-functional communication
  • Accountability and ownership of outcomes
  • Attention to detail and quality
  • Ethical responsibility and data stewardship
  • Adaptability in a changing technology landscape

Role-Based Technical Skills
  • Cloud Computing: Designing and operating data platforms in cloud environments (e.g., AWS-based data services).
  • Data Engineering: Building ETL/ELT pipelines, orchestration workflows, and data models at scale.
  • Data Security: Implementing secure data access, encryption, and governance controls.
  • Software Engineering: Writing maintainable, testable code using modern engineering practices.
  • DevOps / DataOps: CI/CD, infrastructure-as-code, and automated deployment of data pipelines.
  • Observability: Monitoring, logging, and alerting for data systems and pipelines

Role-Based Technical Skills - Future (Desirable)
  • AI-enabled and ML-adjacent data platform patterns
  • Automated data quality and intelligent observability
  • Event-driven and streaming architectures
  • Advanced data governance and lineage automation

Senior-Level Expectations
  • Operates independently on complex, ambiguous data problems.
  • Influences platform and architectural decisions beyond immediate team scope.
  • Provides technical leadership and guidance without direct people management.
  • Balances long-term platform evolution with short-term delivery needs.

Working Knowledge (Required)
  • Full-stack development concepts, including integration with Web APIs
  • Programming languages: Java, Python
  • AWS cloud services used for data platforms
  • Datastores: DynamoDB, Aurora DB, MongoDB, RDBMS
  • CI/CD and operational practices supporting data platforms

Candidates local to Hoboken, NJ are highly preferred.
Applications will be accepted through May 21. This window may be extended depending on business needs.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:
The full-time salary range for this position is between $120,000 - $140,000
This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

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