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DataOps Engineer

Aptino

Florida City, Florida • 8d ago

Easy Apply

Contract

Depends on Experience

Principal DataOps Engineer

Milestone Technologies, Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Data Engineer (DevOps / DataOps / Delivery Engineering) - Sr. Associate

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 110,000.00 - 150,000.00 per year

Senior Data Architect

Datavail

Remote or Boulder, Colorado • Today

Full-time

Data Engineer

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 81,499.00 - 138,549.00 per year

Data Integration Engineer

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 81,499.00 - 138,549.00 per year

Lead Data Engineer

Protective

Remote or Nebraska • Today

Full-time

USD 109,500.00 - 167,833.00 per year

IT Site Reliability Engineer II - Data Platforms - Remote

UNFI

Remote or Providence, Rhode Island • 2d ago

Full-time

Data Validation Engineer

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 98,614.00 - 167,644.00 per year

Senior Data Platform/DevOps Engineer

EPAM Systems

Remote • Today

Full-time

AWS Data Quality Engineer

HCL America Inc.

Remote • 90+d ago

Easy Apply

Full-time

$120,000 - $140,000

Data Architect

Empower Annuity Insurance Company of America

Remote • Today

Full-time

USD 138,000.00 - 200,100.00 per year

Senior Manager, Data Engineering

Cushman & Wakefield

Remote • Today

Full-time

USD 140,250.00 - 165,000.00 per year

Job Details

Skills

Snowflake
DBT
Datawarehouse

Summary

Role Name: EDM/MTC - DataOps Engineer

Location: FL (Hybrid

Duration: 12 month

Job Summary

We are looking for an experienced DataOps Engineer to build, automate, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have strong experience in data engineering, CI/CD, workflow orchestration, cloud platforms, and data pipeline monitoring.

Key Responsibilities

Design, develop, and maintain automated data pipelines and workflows.
Implement DataOps practices to improve data delivery, quality, reliability, and performance.
Build and manage CI/CD pipelines for data engineering processes.
Automate data integration, testing, deployment, and monitoring.
Work with data engineers and analytics teams to ensure reliable data operations.
Monitor pipeline performance, troubleshoot failures, and perform root-cause analysis.
Implement data quality checks, validation, and governance processes.
Manage workflow orchestration and scheduling.
Optimize data pipeline performance and cloud infrastructure costs.

Required Skills

5+ years of experience in Data Engineering, DataOps, or related roles.
Strong programming skills in Python and SQL.
Experience with ETL/ELT pipelines and data integration.
Hands-on experience with Apache Airflow or similar orchestration tools.
Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with data warehouses and data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
Knowledge of Docker, Kubernetes, Git, and Infrastructure as Code (Terraform).
Experience with data monitoring, logging, testing, and troubleshooting.

Preferred Skills

Experience with Apache Spark, Kafka, and distributed data processing.
Knowledge of data quality tools such as Great Expectations or dbt tests.
Experience implementing DataOps automation and observability frameworks.
Understanding of DevOps, MLOps, and data governance practices.

Ideal Candidate

A hands-on DataOps Engineer with strong Python, SQL, pipeline automation, CI/CD, cloud, and orchestration experience who can ensure reliable, scalable, and efficient data operations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: 9135823
Posted 8 days ago

Fitment

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Pooja Jaiswal

IT Recruiter @ Aptino

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Job Details

Skills

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Summary

Role Name: EDM/MTC - DataOps Engineer

Location: FL (Hybrid

Duration: 12 month

Job Summary

Key Responsibilities

Design, develop, and maintain automated data pipelines and workflows.
Implement DataOps practices to improve data delivery, quality, reliability, and performance.
Build and manage CI/CD pipelines for data engineering processes.
Automate data integration, testing, deployment, and monitoring.
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Monitor pipeline performance, troubleshoot failures, and perform root-cause analysis.
Implement data quality checks, validation, and governance processes.
Manage workflow orchestration and scheduling.
Optimize data pipeline performance and cloud infrastructure costs.

Required Skills

5+ years of experience in Data Engineering, DataOps, or related roles.
Strong programming skills in Python and SQL.
Experience with ETL/ELT pipelines and data integration.
Hands-on experience with Apache Airflow or similar orchestration tools.
Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with data warehouses and data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
Knowledge of Docker, Kubernetes, Git, and Infrastructure as Code (Terraform).
Experience with data monitoring, logging, testing, and troubleshooting.

Preferred Skills

Experience with Apache Spark, Kafka, and distributed data processing.
Knowledge of data quality tools such as Great Expectations or dbt tests.
Experience implementing DataOps automation and observability frameworks.
Understanding of DevOps, MLOps, and data governance practices.

Ideal Candidate

A hands-on DataOps Engineer with strong Python, SQL, pipeline automation, CI/CD, cloud, and orchestration experience who can ensure reliable, scalable, and efficient data operations.

Dice Id: 90999382
Position Id: 9135823
Posted 8 days ago

Fitment