Home › Companies › 524326BE10E0F901EF936F501E5144B0 › Data Engineer
Data Engineer
524326BE10E0F901EF936F501E5144B0 · CMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA · Active · Paycom ATS
Job facts
| Field | Value |
|---|---|
| Company | 524326BE10E0F901EF936F501E5144B0 |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | - |
| Location | Dublin, OH, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Paycom ATS |
| Posted / first seen | 2026-03-26 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from 524326BE10E0F901EF936F501E5144B0. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Paycom ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Dublin. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | 524326BE10E0F901EF936F501E5144B0 |
| Source | 2f6eca88-71a4-46b9-aee8-5e1a8e509087 |
| ATS provider | Paycom ATS |
Description
Description
JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.
ESSENTIAL DUTIES
· Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
· Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.
· Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.
· Create microservices architecture that rapidly scales with business growth and AI capabilities.
· Build data pipelines that feed AI models with clean, structured logistics data.
· Implement real-time analytics engines powering predictive logistics capabilities.
· Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems.
· Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.
· Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.
· Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.
· Contribute to the architecture of our data platform, including security, scalability, and performance best practices.
· Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).
· Stay current with emerging Azure technologies and recommend improvements to existing data workflows
· Other duties as assigned.
Qualifications
QUALIFICIATIONS
Education
· Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.
· Additional related training and certifications will be weighted on a case-by-case basis.
Experience
· 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases
· Work experience in the transportation industry is a plus.
Knowledge, Skills, and Abilities
· Proven experience building and managing data pipelines in Microsoft Azure environments.
· Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.
· Strong knowledge of SQL, data modeling, and ELT/ETL patterns.
· Experience working with APIs, JSON, and structured/unstructured data sources.
· Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.
· Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.
· Availability to work a flexible schedule as needed.
· Proficient in Microsoft Office Suite.
· Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.
· Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.
· Logistics / Supply Chain experience preferred.
Full job record
| Job ID | b24a0b9eba0d8985fbedc4c650f16b33b22ee576 |
| Org ID | 91e9e8ed-f2ca-4f9b-b74f-3b40efeb3276 |
| Source ID | 2f6eca88-71a4-46b9-aee8-5e1a8e509087 |
| Board ID | 2f6eca88-71a4-46b9-aee8-5e1a8e509087 |
| Provider | paycom |
| Provider Job Key | 320290 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | CMH Operations Terminal - Dublin, OH 43016; 5725 Avery Road, Dublin, OH, 43016, USA |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | OH |
| City | Dublin |
| Salary Raw | Description JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance. ESSENTIAL DUTIES · Design, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake. · Ingest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use. · Develop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements. · Create microservices architecture that rapidly scales with business growth and AI capabilities. · Build data pipelines that feed AI models with clean, structured logistics data. · Implement real-time analytics engines powering predictive logistics capabilities. · Ensure data quality, integrity, and governance through validation, monitoring, and alerting systems. · Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs. · Implement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses. · Maintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics. · Contribute to the architecture of our data platform, including security, scalability, and performance best practices. · Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform). · Stay current with emerging Azure technologies and recommend improvements to existing data workflows · Other duties as assigned. Qualifications QUALIFICIATIONS Education · Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required. · Additional related training and certifications will be weighted on a case-by-case basis. Experience · 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases · Work experience in the transportation industry is a plus. Knowledge, Skills, and Abilities · Proven experience building and managing data pipelines in Microsoft Azure environments. · Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration. · Strong knowledge of SQL, data modeling, and ELT/ETL patterns. · Experience working with APIs, JSON, and structured/unstructured data sources. · Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions. · Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines. · Availability to work a flexible schedule as needed. · Proficient in Microsoft Office Suite. · Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams. · Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment. · Logistics / Supply Chain experience preferred. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=320290&clientkey=524326BE10E0F901EF936F501E5144B0 |
| Apply URL | https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=320290&clientkey=524326BE10E0F901EF936F501E5144B0 |
| First Seen At | 2026-05-31 19:04:50Z |
| Last Seen At | 2026-06-06 19:45:21Z |
| Last Checked At | 2026-06-06 19:45:21Z |
| Last Changed At | 2026-05-31 19:04:50Z |
| Inactive At | — |
| Source Posted At | 2026-03-26 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=paycom/board=524326BE10E0F901EF936F501E5144B0/date=2026-06-06/2026-06-06T19-45-19-647Z-07693d1888430fc5db6db3f42189b9e821b9103c4b1367d7d0e9fc726a55afce.json |
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"qualifications": "<p><strong>QUALIFICIATIONS</strong></p>\r\n\r\n<p><u><em>Education</em></u></p>\r\n\r\n<p>· Bachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.</p>\r\n\r\n<p>· Additional related training and certifications will be weighted on a case-by-case basis.</p>\r\n\r\n<p><u><em>Experience</em></u></p>\r\n\r\n<p>· 5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases</p>\r\n\r\n<p>· Work experience in the transportation industry is a plus.</p>\r\n\r\n<p><em><u>Knowledge, Skills, and Abilities</u></em></p>\r\n\r\n<p>· Proven experience building and managing data pipelines in Microsoft Azure environments.</p>\r\n\r\n<p>· Proficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.</p>\r\n\r\n<p>· Strong knowledge of SQL, data modeling, and ELT/ETL patterns.</p>\r\n\r\n<p>· Experience working with APIs, JSON, and structured/unstructured data sources.</p>\r\n\r\n<p>· Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.</p>\r\n\r\n<p>· Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.</p>\r\n\r\n<p>· Availability to work a flexible schedule as needed.</p>\r\n\r\n<p>· Proficient in Microsoft Office Suite.</p>\r\n\r\n<p>· Demonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.</p>\r\n\r\n<p>· Attention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.</p>\r\n\r\n<p>· Logistics / Supply Chain experience preferred.</p>\r\n",
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"description": "JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data...",
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}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
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