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Dbt Data Engineer Jobs in Delaware (NOW HIRING)

Photon

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Report delivery status, risks, and blockers to engineering leadership. Must-Have Qualifications ... Experience building data-quality frameworks with tools like Great Expectations or dbt tests.

Photon

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Report delivery status, risks, and blockers to engineering leadership. Must-Have Qualifications ... Experience building data-quality frameworks with tools like Great Expectations or dbt tests.

All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Delaware

Dbt Data Engineer information

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

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Dbt Data Engineer jobs near you

Lead Data Engineer | Onsite - Delaware

Photon

Wilmington, DE • On-site

$111K - $133K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Key Responsibilities 

  • Own delivery of relational and canonical data models and the organization's MDM (master data management) strategy. 
  • Set standards for advanced SQL usage and appropriate use of NoSQL patterns where relational modeling doesn't fit. 
  • Define schema-first data contract design using JSON Schema/Avro/Protobuf. 
  • Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines. 
  • Own delivery of the Snowflake/enterprise data warehouse and data pipelines between ODS and warehouse. 
  • Drive delivery of data change detection (CDC) and the data validation/quality testing framework. 
  • Own "contract as code" governance: data schema management via CI/CD and Git-based data governance. 
  • Select and stand up appropriate AWS data services for the platform. 
  • Run day-to-day delivery of the offshore team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path pipelines. 
  • Report delivery status, risks, and blockers to engineering leadership. 

Must-Have Qualifications 

  • 8+ years in data engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role). 
  • Proven track record of shipping data platforms on committed timelines, including hands-on troubleshooting under delivery pressure. 
  • Deep expertise in relational and canonical data modeling and MDM design. 
  • Expert-level SQL and solid understanding of when NoSQL patterns are appropriate. 
  • Proven experience designing schema-first data contracts (JSON Schema/Avro/Protobuf). 
  • Experience architecting data catalog tooling and PII classification/data regulation compliance (critical given financial-services context). 
  • Strong hands-on architecture experience with Snowflake or an equivalent enterprise data warehouse. 
  • Proven design of data pipelines between operational data stores and the warehouse. 
  • Experience architecting change-data-capture and data validation/quality frameworks. 
  • Demonstrated experience implementing "contract as code" - schema management via CI/CD, Git-based governance. 
  • Solid knowledge of relevant AWS data services (e.g., RDS, Redshift, Glue, DMS, Lake Formation). 
  • Financial-services or similarly regulated-industry data governance experience is strongly preferred. 
  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability). 

Nice-to-Have Qualifications 

  • Experience with specific data catalog tools (e.g., Collibra, Alation, AWS Glue Data Catalog). 
  • Exposure to multiple warehouse platforms beyond Snowflake. 
  • Experience building data-quality frameworks with tools like Great Expectations or dbt tests. 
  • Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty). 

Compensation, Benefits and Duration

Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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