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Prefect Technologies Jobs (NOW HIRING)

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Python, PySpark, SQL, Prefect, Snowflake, Snowpark, dbt, airbyte, Databricks on AWS DevOps Skills ... Tech degree in Computer Science, Engineering, or a related field, with 8-10 years of overall work ...

NewGen Technologies

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar About Us For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with ...

AgileEngine

Senior Data Engineer ID71671

Texas City, TX · On-site

$90K - $123K/yr

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and ... tech like Apache Kafka or AWS Kinesis. PERKS AND BENEFITS - Growth without limits : build your ...

AgileEngine

Senior Data Engineer ID71671

Jacksonville, FL · On-site

$99K - $135K/yr

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and ... tech like Apache Kafka or AWS Kinesis. PERKS AND BENEFITS - Growth without limits : build your ...

AgileEngine

Senior Data Engineer ID71671

Port Charlotte, FL · On-site

$95K - $129K/yr

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and ... tech like Apache Kafka or AWS Kinesis. PERKS AND BENEFITS - Growth without limits : build your ...

AgileEngine

Senior Data Engineer ID71671

Manhattan, NY · On-site

$116K - $157K/yr

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and ... tech like Apache Kafka or AWS Kinesis. PERKS AND BENEFITS - Growth without limits : build your ...

AgileEngine

Senior Data Engineer ID71671

Richmond, VA · On-site

$104K - $142K/yr

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and ... tech like Apache Kafka or AWS Kinesis. PERKS AND BENEFITS - Growth without limits : build your ...

Bespoke Technologies, Inc

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop). * Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.

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Prefect Technologies information

What is the difference between Prefect Technologies vs Data Engineer?

AspectPrefect TechnologiesData Engineer
Primary RoleDevelops and manages data workflows and automation toolsDesigns, builds, and maintains data pipelines and infrastructure
Required SkillsPython, workflow orchestration, automationSQL, Python, ETL processes, data modeling
Work EnvironmentTech companies, startups, cloud-based platformsData teams, analytics departments, tech firms
CertificationsNone specific, technical proficiency preferredData-related certifications (e.g., AWS, Google Cloud) beneficial

Prefect Technologies focuses on developing workflow orchestration tools to automate data processes, while Data Engineers build and maintain the data pipelines and infrastructure. Both roles require technical skills like Python and data handling, but Prefect roles are more centered on workflow management, whereas Data Engineers focus on data architecture and pipeline creation.

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Infographic showing various Prefect Technologies job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Data Engineer

Delviom LLC

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 7 days ago

Job description

Data Engineer

Development, Cloud Engineering & DevOps

Cloud Platform: AWS (Compute, Storage, Networking, IAM and related cloud resources)

Data Engineering Skills: Python, PySpark, SQL, Prefect, Snowflake, Snowpark, dbt, airbyte, Databricks on AWS

DevOps Skills: CI/CD (AWS CodePipeline/CodeBuild/CodeDeploy), Terraform (IaC), Docker, Amazon CloudWatch, Secrets Management, Release & Environment Management

Must-Have Skills

  • B.E./B.Tech degree in Computer Science, Engineering, or a related field, with 8-10 years of overall work experience.
  • 5+ years of hands-on development experience building Cloud Data Platform Data Engineering solutions covering Data Ingestion, Data Quality Validations, Data Processing and Data Integration.
  • Strong hands-on coding experience in Python, PySpark, and SparkSQL, with solid software engineering practices including testing, version control and code reviews.
  • Hands-on experience in Airbyte, Snowflake and dbt.
  • Hands-on experience with Prefect for workflow orchestration, including designing flows and tasks, scheduling, deployments, and parameterized runs.
  • Ability to build reliable, observable Prefect workflows with retry logic, failure handling, and rerun/recovery support for production pipelines.
  • Hands-on experience with Amazon S3-based data lakes, Databricks on AWS and other AWS-based data ecosystem services.
  • Experience monitoring and troubleshooting orchestrated workflows via the Prefect UI/Cloud, including work pools, deployments and run history.
  • Demonstrated willingness and ability to set up and own DevOps practices for the platforms you build (see DevOps Skills below).
  • Proficiency in analytics use-case analysis, source system analysis, and data quality assessment.
  • Experience coordinating/collaborating with on-shore and off-shore teams for solution delivery.
  • Excellent communication and presentation skills.

DevOps Skills

  • Design and build CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy (or equivalent tools such as GitHub Actions/Jenkins) to automate build, test, and release cycles.
  • Provision and manage AWS cloud resources using Infrastructure as Code (Terraform), including version-controlled, reusable modules.
  • Containerize applications and workflows with Docker; deploy and manage containers using Amazon ECS/EKS.
  • Manage promotion of code and configuration across Development, Test, and Production environments with clear release and rollback strategies (blue-green/canary deployments).
  • Implement secure secrets and configuration management using AWS Secrets Manager or Parameter Store, with least-privilege IAM policies.
  • Set up monitoring, logging, and alerting using Amazon CloudWatch (metrics, dashboards, alarms) to maintain operational visibility into pipelines and workflows.
  • Define and implement retry, recovery, and rerun strategies for failed jobs/workflows to ensure production reliability.
  • Write automation scripts (Python/Bash) for deployment, operational tasks, and routine platform maintenance.
  • Collaborate with data engineers, application developers, and cloud engineers to support end-to-end delivery, and troubleshoot production issues when required.

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