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Evening Analytics Engineer Dbt Jobs (NOW HIRING)

dbt Engineer

Meridian, TX · On-site

$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 ...

Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To ... Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and ...

Job Summary: As an Analytics Engineer, you will bridge the gap between data analysis and data ... DBT - Preferred. * Proficiency in programming languages such as Python or R. * Familiarity with ...

Analytics Engineer

Edwardsville, IL

$107K - $129K/yr

Establish data quality checks and validation processes within dbt workflows Performance ... of experience in analytics engineering, data engineering, or similar role * Advanced SQL ...

Analytics Engineer

$138K - $161K/yr

About the Role: We're looking for an Analytics Engineer to help ensure data integrity across Extend ... You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable ...

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 ...

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 ...

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 ...

You'll build and own production dbt models - spanning our core remittance business and new product ... analytics engineering role * Strong SQL skills, and comfortable working with large, complex ...

Analytics Engineer

Fort Worth, TX · On-site

$60 - $70/hr

Advanced SQL skills with hands-on experience developing dbt models, transforming data, optimizing ... Promote analytics engineering and data modeling best practices Required Qualifications * 5+ years ...

Senior Analytics Engineer

Austin, TX

$103K - $142K/yr

As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote engineering excellence, and ensure the analytics layer is reliable, scalable, and easy to consume.

Data Analytics Engineer

Glen Allen, VA

$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 ...

Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models ... data engineering * CI/CD for analytics code (e.g., dbt tests running on PRs via GitHub Actions ...

Senior Analytics Engineer

Detroit, MI

$103K - $142K/yr

As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote engineering excellence, and ensure the analytics layer is reliable, scalable, and easy to consume.

Analytics Engineer, Platform

Miami, FL · On-site

$100K - $140K/yr

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 ...

OR

$135K - $188K/yr

Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models ... data engineering * CI/CD for analytics code (e.g., dbt tests running on PRs via GitHub Actions ...

Showing results 41-60

Evening Analytics Engineer Dbt information

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

AspectEvening Analytics Engineer DbtData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, data modeling, ETL processesSQL, Excel, visualization tools, reporting
Work EnvironmentData engineering teams, technical environment, often remoteBusiness teams, reporting environments, often in-office or hybrid
CredentialsSQL proficiency, data modeling knowledge, sometimes certifications in data engineeringStatistical or analytical degrees, SQL skills often required

While both roles involve working with data, the Evening Analytics Engineer Dbt focuses on building data pipelines and transformations using dbt, whereas the Data Analyst primarily interprets data to create reports and insights. The engineer role is more technical and engineering-oriented, while the analyst role emphasizes analysis and visualization.

How does working as an Evening Analytics Engineer specializing in dbt typically impact collaboration with other teams?

As an Evening Analytics Engineer focused on dbt, you often work closely with data analysts, data scientists, and business stakeholders who rely on timely data transformations for their projects. The evening shift can mean you are responsible for monitoring and troubleshooting overnight data pipeline runs, ensuring data models are up-to-date for next-day use. This role requires proactive communication, detailed documentation, and sometimes handing off critical updates to colleagues starting their day shift. You may also participate in asynchronous meetings and use collaboration tools to stay aligned with the broader team’s goals and developments.

What is an Evening Analytics Engineer Dbt?

An Evening Analytics Engineer Dbt is a data professional who specializes in building and maintaining data transformation workflows using dbt (data build tool), typically working during evening hours. Their primary responsibilities include modeling raw data into clean, actionable datasets, ensuring data quality, and collaborating with data teams to provide reliable analytics. They often work with SQL, version control systems, and cloud data warehouses, ensuring that analytics pipelines run smoothly outside regular business hours. This role is ideal for organizations that require data engineering support during off-peak times or have distributed teams across multiple time zones.

What are the key skills and qualifications needed to thrive as an Evening Analytics Engineer (Dbt), and why are they important?

To thrive as an Evening Analytics Engineer (Dbt), you need strong data engineering skills, proficiency in SQL, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills for collaborating across teams and ensuring data accuracy. These skills are vital for building reliable data pipelines, enabling quality analytics, and supporting business decisions during evening or off-peak hours.
What cities are hiring for Evening Analytics Engineer Dbt jobs? Cities with the most Evening 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 Evening Analytics Engineer Dbt jobs? States with the most job openings for Evening Analytics Engineer Dbt jobs include:

$118K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Blue Cross of Idaho rating

6.0

Company rating: 6.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

279th of 300 rated insurance


Job description

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 (Data Build Tool) Cloud in a Snowflake environment. This role requires deep knowledge of dbt guidelines, ecosystem tooling, and continuous integration and delivery pipelines to deliver high-quality, trusted data models for analytics, reporting, and downstream applications. You will be instrumental in building a modern data platform that is scalable, reliable, and well-documented.


Required Qualifications

Location: this position has preference to based in hybrid work location (onsite at Meridian Idaho campus and WFH). There may be opportunity for fully remote within a mutually acceptable location.

Education: Bachelor's degree in quantitative or related technical field, or equivalent practical experience (two years' relevant work experience is equivalent to one-year college).

Experience: 2-4/+ in data engineering or analytics engineering, preferably in healthcare. Experience should also span:

  • 2-3+ years of extensive experience with dbt, including advanced concepts like Jinja macros, packages, and custom tests. Hands-on experience with dbt Cloud, including project setup, environment management, and job orchestration.

  • Proven experience working with a cloud data warehouse, preferably Snowflake.

  • Expertise in writing and optimizing complex SQL queries.

  • Strong understanding of data modeling principles (e.g., Kimball, Data Vault).

  • Experience with Python scripting for data-related tasks and automation.

  • Familiarity with version control (Git) and CI/CD practices.

  • Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications

  • Leveraging AI-powered assistants is highly desired. (e.g., Claude Code, dbt Copilot, Cursor) to automate routine tasks, including generating documentation, authoring data quality tests, and scaffolding dbt models.

  • Implementing AI-enhanced workflows is highly desired. (To streamline development, using intelligent code suggestions and state-aware orchestration to reduce manual refactoring and increase developer velocity, etc)

  • dbt Certification (e.g., dbt Analytics Engineering Certification)

Key Responsibilities

dbt Development and Best Practices

  • Build, develop, and maintain a robust dbt project using dbt Cloud, ensuring alignment with a layered approach (e.g., staging, intermediate, marts).

Data Pipeline Implementation

  • Build and maintain optimized ELT/ETL pipelines within Snowflake using dbt, focusing on efficient SQL transformations, materializations (tables, views, incremental models), and performance tuning.

Automation and CI/CD

  • Implement and manage CI/CD pipelines for dbt using dbt Cloud's native features or integrations with tools like GitHub Actions, ensuring that code changes are automatically tested and deployed.

Testing and Data Quality

  • Develop and implement a comprehensive testing strategy using dbt's built-in and custom tests to ensure data quality, accuracy, and integrity.

  • Leverage external integrations and dbt packages for advanced testing, data observability (e.g., Metaplane), and data quality monitoring.

Data Lineage and Governance

  • Apply dbt's data lineage features to create a transparent, end-to-end view of data flow from source to final models, visualizing dependencies via the Directed Acyclic Graph (DAG).

  • Enrich models with metadata and documentation using schema.yml to improve data discovery and governance.

Collaboration and Mentorship

  • Collaborate with data analysts, data scientists, and business partners to translate business requirements into technical dbt models.

  • Provide technical leadership, participate in code reviews, and mentor other team members on dbt methodologies and engineering standard processes.

Performance Optimization

  • Actively monitor and optimize dbt project performance in Snowflake, including managing costs, optimizing query execution, and selecting the most appropriate materialization strategy.

Advanced Features and Ecosystem

  • Stay current with new dbt features (e.g., Semantic Layer, column-level lineage) and leverage other tools in the modern data stack to enhance dbt capabilities.

As of the date of this posting, a good faith estimate of the current pay range is $96,183 to $144,275 (Engineer II); $118,506 to $177,758 (Engineer III). The position is eligible for an annual incentive bonus (variable depending on company and employee performance).The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data. At Blue Cross of Idaho, it is not typical for an individual to be hired at or near the top range for the position. Compensation decisions are dependent on factors and circumstances at the time of offer.

We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.

We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies.

Reasonable accommodations

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.


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