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Dbt Analytics Jobs in Delaware (NOW HIRING)

Photon

Data Engineer Lead

Newark, DE · On-site

Experience building data-quality frameworks with tools like Great Expectations or dbt tests. Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty)

Photon

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

Experience building data-quality frameworks with tools like Great Expectations or dbt tests. * Relevant certifications (Snowflake SnowPro, AWS Data Analytics Specialty). Compensation, Benefits and ...

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Dbt Analytics information

See Delaware salary details

$37.5K

$64K

$92.1K

How much do dbt analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for dbt analytics in Delaware is $63,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $71,100.00 per year, depending on experience, location, and employer.

What is a dbt Analytics job?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a DBT Analytics professional, and why are they important?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a Dbt Analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

What are popular job titles related to Dbt Analytics jobs in Delaware? For Dbt Analytics jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Dbt Analytics jobs in Delaware look for? The top searched job categories for Dbt Analytics jobs in Delaware are:
What cities in Delaware are hiring for Dbt Analytics jobs? Cities in Delaware with the most Dbt Analytics job openings:
Dbt Analytics jobs near you

Data Engineer Lead

Photon

Newark, DE • On-site

Other

Posted 18 days ago

Job description

Job Title :Technical Lead - Operational Data Governance & Modernization
Location :Newark, DE

Owns end-to-end delivery of how operational data is modeled, governed, and moved across the organization from relational/canonical models and master data through schema-first contracts into the enterprise warehouse. Sets the standards for data quality, compliance (PII), and "contract as code" governance, but is measured on delivery outcomes runs the offshore team day-to-day and stays hands-on to unblock delivery risk.
Description for Internal Candidates

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).

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