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Dbt Sql Jobs in Delaware (NOW HIRING)

Power BI Architect-67189

Dover, DE · On-site

$120 - $160/hr

Informatica / ADF / Fivetran / dbt / Airflow (any relevant); Storage & formats: Parquet/Delta/Iceberg; S3/ADLS/GCS. * Querying: advanced SQL; performance tuning; data partition strategies. * Data ...

Dbt Sql information

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$20

$52

$72

How much do dbt sql jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for dbt sql in Delaware is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $59.66 per hour, depending on experience, location, and employer.

What is a dbt sql?

A Dbt SQL job typically involves using dbt (data build tool) to transform and model data within a data warehouse. Professionals in this role write modular SQL queries, create reusable models, and develop data pipelines to improve analytics workflows. They also manage data documentation, version control, and testing to maintain data quality. This role is common in analytics engineering and helps organizations ensure reliable, well-structured data for reporting and decision-making.

What does a typical workday look like for a dbt sql professional?

A typical workday for a DBT SQL professional involves developing, testing, and maintaining data transformation workflows using dbt and SQL within cloud data platforms. Responsibilities often include collaborating with data analysts, engineers, and business stakeholders to understand data requirements, troubleshooting data quality issues, and continuously optimizing data models for performance and reliability. You may also participate in code reviews, monitor pipeline runs, and document your work to ensure team-wide clarity and alignment. This role often includes a mix of independent technical work and cross-functional teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the dbt sql position, and why are they important?

To thrive as a DBT SQL professional, you need strong proficiency in SQL, data modeling, and experience with analytics engineering, often supported by a background in computer science or data-related fields. Familiarity with dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is highly valued, along with dbt certification as a plus. Exceptional problem-solving, attention to detail, and effective collaboration skills set candidates apart in this role. These capabilities are crucial for building robust, scalable data pipelines and ensuring accurate, actionable analytics within dynamic team environments.

What are the most commonly searched types of Dbt Sql jobs in Delaware?

The most popular types of Dbt Sql jobs in Delaware are:

What are popular job titles related to Dbt Sql jobs in Delaware?

For Dbt Sql jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Dbt Sql jobs?

Cities in Delaware with the most Dbt Sql job openings:

Infographic showing various Dbt Sql job openings in Delaware as of August 2026, with employment types broken down into 25% Temporary, and 75% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $109,501 per year, or $52.6 per hour.

Power BI Architect-67189

Hitachids

Dover, DE • On-site

$120 - $160/hr

Other

Posted 19 days ago


Job description

Dover, Delaware, United States of America

Job Description

Roles & Responsibilities:

  • Masters in PowerBI, Finance Solution Data Architect with deep expertise in Supply Chain data and its intersection with Finance (Procure-to-Pay, Inventory Accounting, Costing, CapEx/OpEx, Vendor Spend Analytics).
  • The architect will lead the design of scalable data solutions that unify supply chain and finance data across ERP, procurement, logistics, inventory, and billing systems—enabling accurate reporting, forecasting, compliance, and operational insights.
  • Own end-to-end data architecture for finance + supply chain analytics, reporting, and operational use‑cases.
  • Define target‑state architecture (lake house/warehouse, streaming, APIs, metadata) aligned to enterprise standards.
  • Design robust data ingestion and integration patterns (batch/stream, CDC, API‑based, file‑based).
  • Ensure architecture supports auditability, reconciliation, and financial controls (traceability from source to report).
  • Architect domain‑aligned datasets for Procure‑to‑Pay (requisitions, purchase orders, invoices, payments).
  • Architect domain‑aligned datasets for Inventory & Warehousing (receipts, transfers, adjustments, stock valuation).
  • Architect domain‑aligned datasets for Costing (standard/actual costing, landed cost, freight, BOM where relevant).
  • Architect domain‑aligned datasets for Vendor & Spend (vendor master, contracts, pricing, spend categorization).
  • Architect domain‑aligned datasets for Logistics (shipment tracking, carrier costs, delivery performance).
  • Enable integration between supply chain events and finance outcomes (e.g., GR/IR, accruals, capitalization, write‑offs).
  • Create and maintain conceptual, logical, and physical data models (3NF, dimensional, Data Vault as applicable).
  • Define canonical models and enterprise semantic layers for KPI consistency.
  • Establish best practices for master data (vendors, materials/items, locations, cost centers).
  • Establish best practices for reference data (currency, UOM, fiscal calendar, shipping terms).
  • Establish best practices for hierarchies (product, supplier, org, region).
  • Partner with data engineering teams to implement ETL/ELT pipelines, orchestration, CI/CD, environment management.
  • Partner with data engineering teams to implement performance tuning, partitioning, indexing, clustering strategies.
  • Partner with data engineering teams to implement observability (logging, monitoring, SLA/SLI, cost optimization).
  • Enable governed self‑service analytics through reusable datasets and thin‑report architecture.

Must Have Technical/Functional Skills:

  • 10+ years in data/solution architecture with strong ownership of enterprise‑scale implementations.
  • Strong experience designing data warehouses/lake houses, enterprise integration, and analytics platforms.
  • Strong experience in data modeling (dimensional + normalized) and semantic layer design.
  • Strong understanding of business processes and data in commercial operations, logistics, procurement, inventory, supplier management, costing.
  • Cloud & Data Tech Stack (choose based on your environment): Azure; Fabric / Synapse; Informatica / ADF / Fivetran / dbt / Airflow (any relevant); Storage & formats: Parquet/Delta/Iceberg; S3/ADLS/GCS.
  • Querying: advanced SQL; performance tuning; data partition strategies.
  • Data governance: Collibra / Purview / Alation (or equivalent).
  • BI/Analytics: Power BI (data modeling, DAX, performance tuning, semantic layer design, governance, deployment pipelines).
  • Design semantic models in Power BI for enterprise‑wide reuse, ensuring consistent KPI definitions.
  • Hands‑on experience in DAX optimization, performance tuning, composite models, and security (RLS/OLS).
  • Implement workspace architecture, deployment pipelines, and governance best practices in Power BI.
  • Experience with real‑time analytics, event streams, and near real‑time dashboards for operational insights.

Generic Managerial Skills (If any):

  • Stakeholder Management & Delivery: Engage Finance, Supply Chain, Procurement, and IT stakeholders to translate needs into architecture.
  • Lead architecture reviews, technical documentation, and implementation roadmaps.
  • Work with program/product managers to define scope, milestones, dependencies, and risk mitigation.
  • Education: Bachelor of Engineering/Computers.
How we look after you

We help take care of your today and tomorrow with industry‑leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

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