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Data Ops Developer Jobs (NOW HIRING)

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and ...

Data Ops Engineer

San Diego, CA · On-site

$200K - $240K/yr

Description We are seeking a Data Ops Engineer to design, build, and maintain real-time data ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Ops Engineer to design, build, and maintain real-time ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Data Ops Engineer

San Diego, CA · On-site

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Ops Engineer to design, build, and maintain real-time ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Data Ops Engineer

San Diego, CA · On-site

$200K - $240K/yr

Description We are seeking a Data Ops Engineer to design, build, and maintain real-time data ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion ... or DevOps roles supporting production data pipelines. • Demonstrate proficiency with frequent ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data/Ops Architect Location: Dallas TX or San Francisco CA Role/Responsibilities We are ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics ... Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

... or DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS Operating ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

... or DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS Operating ...

Senior Cloud Data Ops Engineer

Quincy, MA · On-site

$140K - $180K/yr

Summary of Position: he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer ... Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling. * Exposure to EKS, GKE ...

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Data Ops Developer information

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How much do data ops developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data ops developer in the United States is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.90 per hour, depending on experience, location, and employer.

What are popular job titles related to Data Ops Developer jobs?

For Data Ops Developer jobs, the most frequently searched job titles are:

Senior Data Ops Developer

Minneapolis, MN • Hybrid

Full-time

Re-posted 9 days ago


Job description

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In this role, you will design and maintain cloud-based data pipelines, automate data processes, and translate business requirements into scalable technical solutions. You will partner with Data Platform, Analytics, Quote-to-Cash, and Quote-to-Fulfillment teams to improve how data is stored, processed, and used across the organization. We are seeking applicants with strong SQL knowledge, practical data engineering experience, and the communication skills to connect technical solutions with business needs.

What you will be doing:
  • Design, implement, and maintain cloud-based data pipelines that support the efficient ingestion, storage, processing, and analysis of large volumes of data.
  • Partner with data engineers, analytics teams, and business stakeholders to understand requirements and translate them into scalable, reliable, and maintainable technical solutions.
  • Build automated solutions supporting Quote-to-Cash, Quote-to-Fulfillment, Analytics, and other business processes.
  • Evaluate and use appropriate Azure infrastructure and cloud services, considering scalability, performance, extensibility, cost, security, and operational support.
  • Integrate data from multiple disparate sources while maintaining data quality, integrity, accuracy, and timeliness.
  • Design and optimize data storage and processing solutions, including data lakes, data warehouses, data marts, Azure SQL, and Spark-based workflows.
  • Perform all responsibilities in accordance with company policies, procedures, security requirements, and internal controls.
What you will likely bring:
  • 2-3+ years' experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
  • Strong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.
  • Experience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.
  • Strong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.
  • Excellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.
  • Ability to work independently, take ownership of assignments, and collaborate effectively as a positive and proactive team member.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.
What could set you apart:
  • Experience with Microsoft Azure, Azure SQL, Azure Data Lake, Azure data warehousing services, or other cloud-native data technologies.
  • Experience using PySpark, Apache Spark, Python, or comparable data-processing technologies.
  • Exposure to AI-enabled solution development using services or platforms such as Azure AI, generative AI application programming interfaces, or Hugging Face.
  • Experience creating internal automation tools, chatbots, agents, or other solutions that improve productivity for business users.

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About Epicor

At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.

We're Proactive, Proud, Partners.


Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.

We are an equal-opportunity employer.

Range:

Minimum: $94,000 USD Maximum: $151,000 USD

The salary range provided reflects the national average for this job title and does not represent compensation specific to Epicor Software Corporation. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.

Recruiter:

Matthew Brady