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Senior Dataops Engineer Jobs (NOW HIRING)

We're looking for a high-impact Manager, Sr. Data Engineering to lead strategy, platform ... Implement DataOps practices. (CI/CD, testing, observability, incident response) * Lead and develop ...

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Senior Database Engineer

Los Angeles, CA · On-site

$114.20K - $155.20K/yr

As a Senior Database Engineer, you will maintain and enhance the reliability of data infrastructure ... DataOps practices. • You have experience with data governance, compliance, and lifecycle ...

Senior Database Engineer

San Francisco, CA · On-site

$124.90K - $169.70K/yr

As a Senior Database Engineer, you will maintain and enhance the reliability of data infrastructure ... DataOps practices. • You have experience with data governance, compliance, and lifecycle ...

Data Engineer

Orlando, FL · On-site

$107K - $128.50K/yr

... senior technical contributor. RESPONSIBILITIES * Develop and maintain Delta Lake-based data ... Follow DataOps best practices including testing strategies, performance tuning, and data platform ...

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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 May 31, 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 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 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 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.

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:
What job categories do people searching Senior Dataops Engineer jobs look for? The top searched job categories for Senior Dataops Engineer jobs are:
Infographic showing various Senior Dataops Engineer job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 3% Part Time, 1% Temporary, and 5% Contract. Highlights an 2% Physical, and 98% Hybrid job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Sr Data Engineering Manager

Sr Data Engineering Manager

McLane Company

Austin, TX • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


McLane rating

7.0

Company rating: 7.0 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

28th of 48 rated food wholesalers


Job description

Take your career further with McLane!

McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.  

We're looking for a high-impact Manager, Sr. Data Engineering to lead strategy, platform modernization, and delivery for a next-generation data ecosystem powering digital supply chain outcomes. This role blends hands-on technical leadership, organizational development, and business partnership to deliver scalable, governed, and AI-ready data products.

This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

Benefits you can count on:

  • Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
  • Paid time off begins day one.
  • 401(k) Profit Sharing Plan after 90 days.
  • Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

What You'll Do

  • Define and execute the data engineering strategy and operating model. (domain teams, platform teams, governance)
  • Lead cloud and hybrid platform modernization. (lakehouse, streaming, real-time batch ingestion, legacy migration)
  • Establish enterprise standards & architectures. (ELT/ETL, medallion, semantic layer, data modeling, streaming)
  • Drive data governance. (quality, lineage, security, access, SLAs, data contracts)
  • Ensure compliance & audit readiness. (privacy-by-design, SOX, GDPR/CCPA alignment)
  • Deliver scalable, reliable, cost-optimized platforms. (performance engineering, FinOps)
  • Build reusable data pipelines & domain data products enabling analytics and AI/ML.
  • Partner with business leaders to translate outcomes into prioritized backlogs and measurable KPIs.
  • Implement DataOps practices. (CI/CD, testing, observability, incident response)
  • Lead and develop high-performing teams. (hiring, coaching, succession planning)
  • Manage vendor strategy, tooling, and technology selection.
  • Drive continuous improvement through SLIs/SLOs, pipeline performance, data quality, and cost metrics.

What We're Looking For

  • Education: Bachelor's degree in Computer Science, Engineering, Statistics, or related field.
  • Experience 7 years in data engineering / data platform engineering, including 3 years leading teams. (manager-of-managers preferred)
  • Deep experience with cloud data platforms (Azure, AWS, or GCP) and tools like Databricks, Fabric, Snowflake, or BigQuery.
  • Strong expertise in Spark, batch streaming pipelines, and modern data architectures.
  • Advanced proficiency in SQL & Python.
  • Proven experience with ELT/ETL, orchestration, data modeling (dimensional/Data Vault), and metadata/lineage.
  • Expertise in DataOps & engineering excellence. (CI/CD, IaC, Git, monitoring, incident management)
  • Solid understanding of data governance, security, and privacy controls. (IAM, encryption, retention, lineage)
  • Experience translating business needs into technical solutions and driving cross-functional alignment.
  • Background in vendor evaluation, budgeting, and tool selection.
  • Strong communication skills with ability to influence at all levels.
  • Working knowledge of AI/ML, data science, or advanced analytics concepts.
  • Ability to lead multiple priorities and large-scale initiatives simultaneously.
  • This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Fit the following? We want you here!    

  • Teamwork oriented
  • Organized
  • Problem solver
  • Detailed

Our roadmap. Our story.  

We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130 years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.  

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.  

All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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