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Entry Level Dbt Sql Jobs (NOW HIRING)

Patientco

Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Contribute to data transformations using dbt (training provided if needed) * Work with senior ...

Waystar

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Contribute to data transformations using dbt (training provided if needed) * Work with senior ...

Crew Career Center

Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Contribute to data transformations using dbt (training provided if needed) * Work with senior ...

Inroads

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll ... Proficiency in SQL; able to write clean, performant queries. * Practical experience with dbt ...

The LaSalle Group

Manager of Data Engineering

Columbus, OH · On-site

$140K - $160K/yr

Strong SQL and data architecture background * Experience with modern cloud data platforms * Strong ... Snowflake * dbt * Fivetran * Airflow * Python * Oracle Fusion * SAP * Supply Chain or Finance ...

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Entry Level Dbt Sql information

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How much do entry level dbt sql jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level dbt sql in the United States is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $19.47 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Dbt Sql vs Data Analyst?

AspectEntry Level Dbt SqlData Analyst
Required CredentialsBasic SQL knowledge, some familiarity with DbtSQL skills, often a degree in data-related field
Work EnvironmentData teams, analytics projects, data warehousesBusiness units, reporting, data visualization
Industry UsageData engineering, analytics teams, tech companiesFinance, marketing, healthcare, retail

Entry Level Dbt Sql focuses on building data transformation pipelines using SQL and Dbt, often within data engineering teams. Data Analysts primarily analyze data, create reports, and visualize insights. While both roles require SQL skills, Dbt specialists focus more on data modeling and pipeline development, whereas Data Analysts emphasize data interpretation and reporting.

What are some common challenges faced by entry level dbt sql professionals, and how can they overcome them?

Entry-level professionals using DBT and SQL often encounter challenges such as understanding data modeling concepts, managing complex SQL queries, and adapting to collaborative workflows with version control tools like Git. To overcome these obstacles, it's helpful to start with clear documentation, leverage DBT's built-in testing and documentation features, and actively seek feedback from more experienced team members during code reviews. Engaging in pair programming and participating in team knowledge-sharing sessions can also accelerate learning and help build confidence in both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as an entry level dbt sql professional?

To thrive as an Entry Level DBT SQL professional, you need a foundational understanding of SQL, data modeling, and data transformation concepts, typically supported by a relevant degree or coursework in computer science or data analytics. Familiarity with DBT (Data Build Tool), version control systems like Git, and basic data warehouse platforms such as Snowflake or BigQuery is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and troubleshoot efficiently. These skills are crucial for ensuring accurate data pipelines, smooth team workflows, and reliable analytics within data-driven organizations.

What is an entry level dbt sql?

Entry Level DBT SQL jobs are positions designed for individuals who are new to working with DBT (Data Build Tool) and SQL (Structured Query Language) in data engineering or analytics roles. These jobs typically involve building, testing, and maintaining data models, transforming raw data into usable formats, and collaborating with data analysts or engineers. Entry-level roles focus on learning best practices in data modeling, writing efficient SQL queries, and gaining hands-on experience with DBT workflows. Candidates often work under the guidance of more experienced team members while developing foundational skills in data infrastructure. These positions are ideal for recent graduates or those transitioning into the data field.

What cities are hiring for Entry Level Dbt Sql jobs?

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

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What states have the most Entry Level Dbt Sql jobs?

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Entry Level Dbt Sql jobs near you
Infographic showing various Entry Level Dbt Sql job openings in the United States as of July 2026, with employment types broken down into 28% Locum Tenens, 43% Full Time, 11% Part Time, 3% Contract, and 15% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $38,000 per year, or $18.3 per hour.

Data Engineer (SQL) - Costa Rica

ActiveProspect, Inc.

San Jose, CA • On-site

$134K - $161K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer

Company Overview

ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. We provide marketers the products they need to acquire qualified customers at scale. Our platform is trusted by thousands of companies engaged in direct-to-consumer marketing, helping them save wasted spend, comply with ever-changing regulations, and manage a constantly evolving partner landscape. Our flagship product, TrustedForm, is used to certify over 1 billion opt-in digital customer leads every year and is the gold standard for documenting prior express written consent for TCPA compliance.

Job Summary

The Data Engineer is an individual-contributor role that designs, builds, and maintains scalable data pipelines and analytical data models. The role works hands-on with our modern data stack — SQL, Snowflake, dbt, Fivetran, Kafka, and Python — to build reliable, efficient data solutions. This is an entry-level role that grows toward full ownership of the data engineering workload over time.

Responsibilities:

Build, transform, and process datasets to keep data accurate, reliable, and available for analytics and business decisions. Maintain high-quality data infrastructure supporting reporting, analytics, and operational insights, including pipeline ingestion (Fivetran, Kafka), transformation and modeling (dbt, Snowflake), and Level 1 support for pipeline failures, monitoring, and data quality.

Qualifications and Skills

  • Strong SQL skills
  • Python for data pipelines and automation
  • Snowflake
  • dbt
  • Fivetran
  • Kafka
  • Data modeling
  • ETL/ELT pipeline development
  • Data quality and governance
  • Monitoring and performance optimization

Reports to:

  • Data Architect

Organizational Impact

This role adds capacity to the data engineering function and reduces key-person risk by developing an engineer who can independently own the data engineering workload — ingestion, streaming, transformation, and data quality. As that ownership grows, it frees senior capacity to focus on higher-leverage architecture and modeling work.

Reliable, well-governed data is the foundation for ActiveProspect\'s reporting and decision-making. By keeping pipelines healthy and data trustworthy in Snowflake, this role directly supports the analytics and business teams that depend on accurate, timely data. Success looks like dependable data delivery, strong data quality, and faster resolution of issues through proactive monitoring and Level 1 support.


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