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Internship Analytics Engineer Dbt Jobs (NOW HIRING)

The Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to ... Design, build, and maintain scalable data models using dbt and Snowflake * Define and standardize ...

We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our ... As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded ...

Analytics Engineer

Edwardsville, IL · On-site

$107K - $129K/yr

The Analytics Engineer builds and maintains the foundational data infrastructure that transforms ... dbt • Create conform and analytics layers that standardize data for business consumption • ...

Senior Analytics Engineer

New York, NY · On-site

$170K - $190K/yr

As our Senior Analytics Engineer, you'll own the analytics layer end-to-end: the dbt models, the ... Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in ...

Analytics Engineer

Los Angeles, CA · On-site

$123K - $160K/yr

Owns and develops the core dbt models: builds, tests, and documents staging, intermediate, and mart ... in analytics engineering, data engineering, or a data analyst role that included dbt and data ...

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

Senior Analytics Engineer

Harrisburg, PA · On-site +1

$103K - $141K/yr

You'll lead the design of a unified, cloud-based data environment centered on dbt and modern analytics engineering practices, enabling reliable transformation logic and data modeling that supports ...

This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to ...

dbt Engineer

Meridian, TX

$118K - $177K/yr

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering, responsible for leading the design, implementation, and optimization of our data pipelines using dbt ...

Analytics Engineer

New York, NY · On-site +1

$140K/yr

This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys working at the intersection of healthcare economics, PBM operations and data modeling. The ideal candidate ...

Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc * 3-5+ years of SQL ... as an analytics engineer, with an educational background in computer science, mathematics ...

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data ... Build and manage data transformation workflows using SQL and modern data tools (e.g., dbt)

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data ... Build and manage data transformation workflows using SQL and modern data tools (e.g., dbt)

The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA ... Own the dbt models and data marts that power Marketing analytics, activation, and reporting.

Lead Analytics Engineer

$160K - $185K/yr

The Analytics Engineering team at Forward plays a central role in our Data ecosystem, partnering ... Drive technical excellence across our dbt project: model architecture, materialization and ...

Analytics Engineer

Waltham, MA · On-site

$118K - $177K/yr

Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc * 3-5+ years of SQL ... as an analytics engineer, with an educational background in computer science, mathematics ...

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Internship Analytics Engineer Dbt information

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How much do internship analytics engineer dbt jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship analytics engineer dbt in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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

AspectInternship Analytics Engineer DbtInternship Data Analyst
Required SkillsProficiency in dbt, SQL, data modeling, and analytics toolsStrong SQL, Excel, data visualization, and reporting skills
Work EnvironmentData engineering teams, cloud platforms, focus on data transformationBusiness teams, reporting tools, focus on data analysis and insights
Industry UsageTech, e-commerce, finance, companies using modern data stacksRetail, marketing, finance, organizations requiring data reporting

Internship Analytics Engineer Dbt roles focus on building and maintaining data pipelines using dbt and SQL, often within data engineering teams. In contrast, Internship Data Analyst positions emphasize analyzing data to generate reports and insights for business decisions. Both roles require strong SQL skills but differ in technical focus and work environment.

What cities are hiring for Internship Analytics Engineer Dbt jobs? Cities with the most Internship Analytics Engineer Dbt job openings:
What are the most commonly searched types of Analytics Engineer Dbt jobs? The most popular types of Analytics Engineer Dbt jobs are:
What states have the most Internship Analytics Engineer Dbt jobs? States with the most job openings for Internship Analytics Engineer Dbt jobs include:
Analytics Engineer -- Data Warehouse

Analytics Engineer -- Data Warehouse

Together AI

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Together AI is a research-driven artificial intelligence company focused on building high-performance inference compute and software platforms. They are seeking an early-career Analytics Engineer to contribute to the design and operation of their data warehouse, ETL pipelines, and data quality governance.
Responsibilities:
• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for 'source of truth.'
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
Qualifications:
Required:
• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.
Company:
Together AI provides a cloud platform for developing, training, fine-tuning, and deploying generative AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.