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Senior Dataops Engineer Jobs (NOW HIRING)

Senior Data Engineer ID71671

Boca Raton, FL · On-site

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Austin, TX · On-site

$105K - $142K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Jersey City, NJ · On-site

$110K - $150K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

San Francisco, CA · On-site

$124K - $169K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

West Palm Beach, FL · On-site

$102K - $139K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Richmond, VA · On-site

$103K - $141K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Boston, GA · On-site

$87K - $118K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Houston, TX · On-site

$101K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Baltimore, MD · On-site

$105K - $143K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Atlanta, GA · On-site

$104K - $141K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Tampa, FL · On-site

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer ID71671

Fort Lauderdale, FL · On-site

$101K - $137K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern ... robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster ...

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

The ideal candidate possesses deep expertise in cloud-native data engineering, DataOps practices, and regulated healthcare environments. The Senior Data Engineer will lead the development and ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $130K/yr

Senior Data Engineer About the Role We are seeking a Senior Data Engineer to design, build, and ... Apply DataOps, CI/CD, governance, security, and operational best practices across the data ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

The ideal candidate possesses deep expertise in cloud-native data engineering, DataOps practices, and regulated healthcare environments. The Senior Data Engineer will lead the development and ...

Showing results 21-40

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 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.

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:

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.

Senior IT DataOps Business Intelligence Engineer

Gong.io

New York, NY

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

As an IT DataOps  Data Engineer, you will help the DataOps team build the data transport, collection, and storage, and expose services that make data accessible to all of Gong's business data platforms. We are seeking a Data Engineer to develop a scalable data platform. You'll own our core business data pipeline that powers Gong's top-line metrics. You will also use data expertise to help evolve data models in several components of the data stack. You will help architect, build, and launch scalable data pipelines to support Gong's growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using Gong's data to fuel several teams across the organization. A major focus of this role will be administering our Tableau environments (Server & Cloud), developing and administration of internal operational tools via Retool, and driving our Reverse ETL (RETL) strategy. Additionally, you will play a key role in operationalizing AI-driven insights-building pipelines that deliver predictive metrics and LLM-generated data points directly into our core business applications.

ROLE SUMMARY 

We are looking for an IT DataOps Business Intelligence Engineer to join our IT Infrastructure team. This role will focus on building, optimizing, and maintaining our data infrastructure to support business analytics, data integration, and automation efforts. You will work with a modern stack-including GCP, AWS, Snowflake, Jenkins, dbt, Retool, Census, Tableau, and Workato-to ensure data flows efficiently and securely across the organization.
You are a strong self-starter with the ability to navigate ambiguous, fast-paced work environments while managing stakeholder relationships.

KEY RESPONSIBILITIESBI Engineering & Integration:
  • Reverse ETL (RETL) & Data Activation: Design, develop, and own scalable RETL pipelines using Census, Workato, dbt, and Snowflake.
  • Operational Integration: Map transformed data models into destination SaaS applications (e.g., Salesforce, Zendesk), managing API rate limits, webhook handling, data sync observability, and error resolution.
  • Integrate data across multiple sources (cloud and on-prem) using a variety of approaches (such as IPaaS or API-based extraction).
  • Tableau Administration & Architecture: Manage, optimize, and scale Tableau Server and Tableau Cloud environments. Handle user provisioning, security/permissions, site administration, extract scheduling, and performance tuning.
  • Retool Application Development: Partner with business teams to architect, build, and maintain custom internal applications in Retool. Integrate Retool with Snowflake, REST APIs, and third-party systems to create actionable user interfaces.
  • Platform Governance: Establish best practices for dashboard deployment, Retool app lifecycle management, and BI environment stability.
  • AI Tooling Integration: Integrate Generative AI APIs (e.g., OpenAI, Anthropic, Vertex AI) or Retool's native AI components into internal applications to automate workflows, summarize data, or create smart conversational interfaces for business users.
  • Modern BI & AI Features: Pilot and implement emerging AI features within our BI stack, to enhance self-service analytics.
DataOps & Infrastructure:
  • Automate and optimize data workflows, deployment, and monitoring for reliability and performance.
  • Implement CI/CD pipelines for data infrastructure and analytics solutions.
  • Collaborate with IT and DevOps to maintain secure and scalable AWS-based infrastructure for data workloads.
Governance & Security:
  • Promote data quality, lineage, and governance best practices directly and through working with other teams. 
  • Work with IT and ProdSec security teams to enforce access controls and compliance requirements.
  • Monitor and troubleshoot data infrastructure and pipeline performance using observability tools.
  • Monitor system access and data integrity with tools like Cyera and Seemoredata
REQUIRED SKILLS & EXPERIENCE
  • 2-5 years of experience in BI Engineering, analytics engineering, or IT infrastructure supporting data platforms.
  • Experience with Snowflake, GitHub, and dbt for scalable data modeling and transformation.
  • Hands-on experience with ETL/ELT tools (Fivetran, Census, and Workato) and workflow orchestration.
  • Strong proficiency in SQL and Python for data manipulation and automation.
  • Experience with ad hoc analytics to support customer reporting requests
  • Familiarity with principles of IAM and Access Control.
  • AI/LLM Integration Experience: Familiarity with integrating REST APIs for Large Language Models (LLMs) into data pipelines or front-end tools (Retool).
NICE TO HAVE SKILLS
  • Familiarity with cloud computing providers (e.g., AWS or GCP) with special focus on serverless functions, storage, and orchestration. 
  • Some understanding of infrastructure-as-code.
  • Retool development and maintenance.
  • Experience with Tableau Server & Tableau Cloud for BI infrastructure management.
  • Experience with Retool App development
  • Modern Data Cloud AI: Exposure to executing machine learning or LLM functions directly within the data warehouse (e.g., Snowflake Cortex).
  • AI-Assisted Development: Comfortable using AI coding assistants (like GitHub Copilot) to accelerate scripting, dbt modeling, and Retool JavaScript development.
PERKS & BENEFITS 
  • We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs.
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program to help you invest in your future.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.
  • Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $143,000 - $185,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.


Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

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