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Entry Level Dbt Sql Jobs (NOW HIRING)

Consertus, Inc.

Junior Integration Developer

San Juan, PR · On-site

$65K - $85K/yr

... dbt, and Google Cloud services * Help build and maintain data ingestion pipelines using APIs and ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Fanatics Betting

Data Engineer II - (Remote)

New York, NY · Remote

$125K - $150K/yr

This is an entry-level role. You'll execute well-defined tasks under the direction of senior data ... Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data ...

New

PrizePicks

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under ... Author robust Python and SQL code following team conventions, with guidance on style, structure ...

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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 Jul 26, 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 professionals working with DBT and SQL, 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, and why are they important?

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 are Entry Level DBT SQL jobs?

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? Cities with the most Entry Level Dbt Sql job openings:
What are the most commonly searched types of Dbt Sql jobs? The most popular types of Dbt Sql jobs are:
What states have the most Entry Level Dbt Sql jobs? States with the most job openings for Entry Level Dbt Sql jobs include:
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 II - (Remote)

Fanatics Betting & Gaming

New York, NY

$125K - $150K/yr

Other

Posted 5 days ago

Job description

About the Team

We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack - Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output.

This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet - you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.

Responsibilities
  • Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions - including writing the code, unit tests, and documentation
  • Support data security and governance work, such as PII masking and access controls, following established patterns
  • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
  • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
  • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
  • Pair with senior engineers on data integrity issues you can't yet diagnose alone
  • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
  • Flag blockers early and with context rather than going quiet when stuck
  • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
  • Conduct and participate in code and system inspections
  • Help the team define and adhere to data engineering best practices
  • Mentor more junior data engineers as you grow into the role
Experience and Skills
  • 1-3 years of professional software or data engineering experience
  • A self-learner with a strong ability to gather, evaluate, and analyze requirements
  • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
  • Comfort reading and writing unit tests, and working within an established codebase and conventions
  • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
  • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
  • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
  • Familiarity with Git-based version control and PR-based code review workflows
  • Strong communication skills - asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
  • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
  • Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
  • Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
  • Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
  • Exposure to PII masking, data security, or RBAC/access governance concepts
  • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
  • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
  • Familiarity with responsible handling of customer/PII-sensitive data
Why Join Us
  • Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
  • Learn from senior and staff data engineers on a well-invested, modern data platform, with a clear growth path from DE2 into independent ownership
  • Work on high-visibility, high-trust systems: regulatory and financial reporting, PII security, and data governance that the business depends on
  • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
  • Collaborative culture with strong engineering practices, code review, and mentorship

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

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