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Evening Analytics Engineer Dbt Jobs (NOW HIRING)

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data ... DBT - Preferred. * Proficiency in programming languages such as Python or R. * Familiarity with ...

This role owns the dbt analytics transformation layer and dbt project stewardship, and partners with Data Engineering on upstream pipelines and data shaping to ensure analytics-ready inputs. This ...

As an Analytics Engineer, you will play a crucial role in driving data-driven decision making ... Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud)

Analytics Engineer

New York, NY · Hybrid

$130K - $150K/yr

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... Build and maintain dbt models across staging, intermediate, and mart layers following Kimball ...

As an Analytics Engineer, you will play a crucial role in driving data-driven decision making ... Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud)

Design, build, and maintain certified dbt models as the authoritative source for business-critical metrics. * Establish and enforce analytics engineering standards for modeling, testing ...

PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation • Build and maintain dbt models ... as analytics engineer or in a similar role, demonstrating expertise in data design, data ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance ... You'll work within Oscar's unified data foundation in dbt, partnering with domain experts and ...

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ... Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and ...

... Analytics Engineer to drive modernization initiatives. In this role, you will lead efforts in ... Responsibilities : • Lead and contribute hands-on to the team's dbt and Snowflake modernization ...

This is a hands-on engineering role: you'll own dbt models, build and maintain Dagster pipelines ... Collaborate with analysts and other engineers to keep data models understandable and well ...

This is a hands-on engineering role: you'll own dbt models, build and maintain Dagster pipelines ... Collaborate with analysts and other engineers to keep data models understandable and well ...

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... PROFESSIONAL RESPONSIBILITIES Data modeling & Transformation Build and maintain dbt models across ...

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 ...

Senior Analytics Engineer

$107K - $146K/yr

As a Senior Analytics Engineer, you will own the analytics layer end-to-end, ensuring trustworthy ... Responsibilities : • Own the dbt project(s). Maintain, evolve, and review pull requests across ...

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 ...

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 ...

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 ...

Showing results 21-40

Evening Analytics Engineer Dbt information

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.

How does working as an evening analytics engineer 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 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 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.

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:

Analytics Engineer

Constant Contact

Waltham, MA • Hybrid

Full-time

Re-posted 3 days ago


Constant Contact rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 52 rated marketing agency


Job description

We have an opening for an Analytics Engineer who will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets, building robust data models, and enabling data analysts and other stakeholders to extract meaningful insights. Your work will directly impact decision-making processes across the organization.

*This is a flexible hybrid role from our headquarters in Waltham, MA.  As part of the interview process, there will be an onsite interview in Waltham, MA. 

What you'll do:

  • Design, build and optimize data models for analytical and operational use cases.
  • Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats(as needed).
  • Collaborate with data analysts, data scientists, data engineers and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.
  • Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.
  • Develop and maintain data infrastructure and tooling to support analytics workflows.
  • Monitor and troubleshoot data pipelines/models and reports to ensure smooth operation and timely data delivery.
  • Implement and enforce data governance and security measures.
  • Provide reliable and trustworthy models for the Organization to make critical decisions.
  • Experience with the Finance domain/analytics is a plus.

Who you are:

  • 2+ years of experience as an Analytics Engineer, Data Engineer, or a similar role.
  • Strong proficiency in SQL and experience with data modeling and schema design such as star and snowflake.
  • Experience with ELT tools and data pipeline frameworks (e.g., Apache Airflow, dbt, Fivetran).DBT - Preferred.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with cloud data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Experience with Snowflake is desirable.
  • Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Bonus points:

  • Experience with cloud databases 
  • Experience in Reporting tools.
  • Knowledge of machine learning concepts
  • Familiarity with data governance and compliance standards.
  • Ability to work in an agile environment.

What Constant Contact employees say

Pay

Hours and flexibility

Workplace

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