1

Data Engineer Airflow Jobs in Kentucky (NOW HIRING)

$180 - $240/hr

... data ecosystems.**Education and Experience**:Bachelor's degree in Computer Science, Engineering ... Airflow, and using Elastic MapReduce or AWS Glue; and developing storage strategies including ...

$120 - $160/hr

  • Life

  • Retirement

  • PTO

You'll work closely with Product, Design, Engineering, and Customer teams to build analytics and ... Experience with modern data tooling such as dbt, Airflow, or equivalent orchestration and ...

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

... Airflow, Prefect, Redis, OAuth). * Bonus experience with distributed systems, ETL/data pipelines, DevOps tooling (Kubernetes, Helm), or mobile development. * Strong communicator who is comfortable ...

$120 - $180/hr

  • Medical

  • PTO

Our main goal is to ease the everyday routines of app developers, product managers, marketing teams ... Experience in data processing pipelines and automation (e.g. Airflow, prefect ) * Experience with ...

New

$120 - $160/hr

Remote Employee US, NH, US Summary Building modular data centers and supporting power systems ... Ensure optimized airflow pathways, ducting configurations, and condensation mitigation. * Seismic ...

New

$207 - $275/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Platform Experience: Familiarity operating data platforms or data-intensive workloads ... Airflow, Kafka, or Flink. * Kubernetes & Containerization: Deep expertise in Kubernetes cluster ...

$209 - $262/hr

... engineers who use them:* A data warehousing platform serving ~250K queries/day over ~20PB.* An event ingestion pipeline taking in 6-7 billion events/day.* The Airflow orchestration platform.You own ...

$209 - $262/hr

... engineers who use them: * A data warehousing platform serving ~250K queries/day over ~20PB. * An event ingestion pipeline taking in 6-7 billion events/day. * The Airflow orchestration platform. You ...

$302 - $378/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML ... Airflow) * Proven ability to independently navigate, execute effectively amidst ambiguity, and ...

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Whether you are wrapping scientific application logic, managing massive data transformations, or ... tools like Airflow. Technical expertise in building REST APIs, managing database systems (ORMs ...

New

$180 - $320/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate cross-functionally with engineering, data science and product teams to turn bold ideas ... Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm ...

New

Manager, Application Engineering

Louisville, KY · On-site

  • Medical

  • Retirement

  • PTO

Technical capabilities are on par with theLead Application Engineer * Plays an integral part ... Experience with cloud-based data tools (Airflow, Athena/S3, Glue,etc) * Experience with data ...

$217 - $303/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent ... Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or ...

New

Showing results 41-60

Data Engineer Airflow information

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What are popular job titles related to Data Engineer Airflow jobs in Kentucky?

For Data Engineer Airflow jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Engineer Airflow jobs?

Cities in Kentucky with the most Data Engineer Airflow job openings:

$180 - $240/hr

Other

Posted 5 days ago


Job description

Principal ArchitectSkip to main content#Principal Architect page is loaded## Principal ArchitectApplylocations: Westlake, TXtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 22, 2026 (30+ days left to apply)job requisition id: 2133617## ## Job Description:**Note: Fidelity will not provide immigration sponsorship for this position.****Position Description**:Architects, designs, and builds highly scalable, resilient, and secure data solutions using modern data architecture techniques and cloud data technologies. Implements relational and NoSQL databases, data warehouses, data lakes, streaming technologies, master data management, distributed databases, Snowflake, and reporting and analytics solutions. Authors and drives technology data strategy initiatives for key portfolios, including fixed income modernization and enhancements on prime brokerage in the capital markets domain, while expanding to shared operations data stores and Snowflake-based data warehouses.**Primary Responsibilities:*** Defines and executes technology multi-year data technology road map and multi-year data strategy for enterprise initiatives.* Architects and designs enterprise data solutions leveraging modern data integration frameworks, distributed systems, and emerging data architecture patterns.* Ensures technology decisions align with architecture standards and governance strategies.* Builds and maintains effective relationships within the architecture product area, squad, and chapter leads.* Supports testing, validation, and documentation of data systems to ensure quality and compliance.* Provides technical leadership and hands-on solutions to agile teams, ensuring alignment with architecture standards and strategies.* Collaborates with engineering leaders, product leaders, and application development teams to cultivate innovation, drive standardization, and deliver next-generation data ecosystems.**Education and Experience**:Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Architect (or closely related occupation) performing application architecture, design, and development in a financial services and data-oriented product environment, using Cloud technologies and Agile methodologies (Scrum).Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Architect (or closely related occupation) performing application architecture, design, and development in a financial services and data-oriented product environment, using Cloud technologies and Agile methodologies (Scrum).**Skills and Knowledge**:Candidate must also possess:* Demonstrated Expertise (“DE”) architecting and designing scalable backend infrastructure for a finance application suite by modeling data flow and user interactions, using Lambda and using AWS Step Functions or Amazon Managed Airflow, and using Elastic MapReduce or AWS Glue; and developing storage strategies including partitioning, availability, archival, and caching to optimize performance and reliability, using AWS S3, AWS Glue, Redshift, Relational Database Service (RDS), and DynamoDB.* DE executing metadata management and data modeling while creating complex SQL queries and building data warehouses, data lakes, and Extract, Transform, Load/ Extract, Load, Transform (ETL/ELT) pipelines, using Lambda, Elastic MapReduce, and AWS Glue, and using AWS Step Functions or Amazon Managed Airflow.* DE architecting and implementing modern data integration frameworks for streaming and batch processing by designing highly scalable distributed systems and modeling relational and NoSQL data structures, using Apache Spark, AWS Elastic MapReduce, and DynamoDB, and using Airflow or Step Function, and using Scala, Python, or Java.* DE evaluating, integrating, and prototyping AWS services for petabyte-scale data processing using Apache Spark, and Elastic Map Reduce, and using AWS Redshift or Snowflake; and designing high-availability architectures with disaster recovery and real-time capabilities using AWS Lambda, and using DynamoDB Streams, Kinesis Firehose, or Kafka Streams.#PE1M2#LI-DNIFidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.## ## Certifications:## ## Category:## Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.### About UsAt Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.Fidelity Investments is an equal opportunity employer. #J-18808-Ljbffr