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Contract Analytics Engineer Dbt Jobs (NOW HIRING)

Senior Analytics Engineer

New York, NY · On-site

$147K - $184K/yr

Contracts move faster, insights surface instantly, and agents push work forward, all with you in ... Serve as the Architect for our dbt project, evolving the architecture, design patterns, and best ...

Analytics Engineer

$140K - $170K/yr

The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into ... Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the ...

... claims, contract terms, pricing and utilization data to support financial forecasting, risk ... This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys ...

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 ...

Analytics Engineer

OR · On-site +1

$140K - $170K/yr

The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data into ... Working primarily in dbt and Snowflake, you own the transformation layer between ingestion and the ...

Data Modeling & Analytics Engineering • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts ...

... claims, contract terms, pricing and utilization data to support financial forecasting, risk ... This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys ...

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics ... Implement dbt tests, documentation, and exposures to improve data quality, observability, and ...

You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement - the bridge between our Analytics Engineering platform and the ...

You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement - the bridge between our Analytics Engineering platform and the ...

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

... contracts. * Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end ... Significant dbt experience including project architecture, macros, test strategy, templates, and ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role ... The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid ...

Sr. Analytics Engineer

Raleigh, NC

$101K - $139K/yr

... contracts. * Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end ... Significant dbt experience including project architecture, macros, test strategy, templates, and ...

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 ... dbt contract renewals, and track consumption-based usage. * Mentor the broader data team. Run code ...

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role ... The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid ...

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Contract Analytics Engineer Dbt information

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

As of Jun 15, 2026, the average hourly pay for contract analytics engineer dbt in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is a Contract Analytics Engineer Dbt?

A Contract Analytics Engineer Dbt is a data professional who works on a contract basis to design, build, and maintain data transformation pipelines using dbt (data build tool). Their main responsibilities include developing SQL-based transformations, managing data models, ensuring data quality, and collaborating with analytics teams to provide actionable insights. These engineers often work with organizations to optimize analytics workflows, automate data processes, and implement best practices for data engineering using dbt. Their work helps businesses make data-driven decisions by ensuring accurate, timely, and well-structured data.

What is another word for contract?

In the context of a Contract Analytics Engineer role, another word for contract is agreement or deal. These terms refer to legally binding arrangements between parties, often managed and analyzed using tools like dbt and data analytics skills. Understanding different synonyms can help in interpreting job descriptions and contractual documentation.

What are the 5 requirements of a contract?

A contract requires five essential elements: mutual agreement (offer and acceptance), consideration (something of value exchanged), legal capacity of the parties, legal purpose, and mutual consent free from duress or fraud. For a Contract Analytics Engineer role, understanding these elements helps ensure compliance and clarity in contractual obligations related to data projects.

What are the main challenges a Contract Analytics Engineer working with dbt may face, and how can they be addressed?

A Contract Analytics Engineer specializing in dbt often encounters challenges such as quickly onboarding to new data environments, understanding existing dbt models, and aligning analytics work with stakeholders' business needs. Navigating unfamiliar data warehouses and adapting to varied coding standards across clients can be demanding. To address these, it's essential to communicate regularly with data teams, leverage dbt's documentation and testing features, and maintain a proactive approach to learning about each client's data architecture. Collaboration and adaptability are key to delivering effective, timely analytics solutions.

What are the 4 rules of a contract?

In contract analytics engineering, the four essential rules of a contract are mutual agreement, consideration, legal capacity, and lawful purpose. These principles ensure the contract is valid and enforceable, which is important when analyzing contractual data using tools like dbt. Understanding these rules helps in assessing contract compliance and risk.

What is the definition of a contract?

A contract is a legally binding agreement between two or more parties that outlines specific obligations and rights. In the context of a Contract Analytics Engineer, understanding contracts involves analyzing and managing these agreements using data tools like dbt to ensure compliance and optimize business processes.

What are the key skills and qualifications needed to thrive as a Contract Analytics Engineer DBT, and why are they important?

To thrive as a Contract Analytics Engineer DBT, you need expertise in data modeling, SQL, and analytics engineering, typically supported by a degree in a quantitative field and experience with data transformation. Proficiency with dbt (data build tool), cloud data warehouses (like Snowflake or BigQuery), and version control systems is essential. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with stakeholders and deliver actionable insights. These skills ensure accurate, scalable analytics solutions that drive business decision-making and data integrity.

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

AspectContract Analytics Engineer DbtData Analyst
CredentialsExperience with dbt, SQL, data modelingStatistical, analytical, or data-related degrees often preferred
Work EnvironmentData teams, analytics projects, cloud platformsBusiness units, reporting, data visualization
Industry UsageTech, finance, e-commerce, where data transformation is keyMarketing, finance, healthcare, focusing on insights

Contract Analytics Engineer Dbt focuses on building and maintaining data transformation pipelines using dbt, SQL, and data modeling. Data Analysts interpret data, create reports, and provide insights. While both roles work with data, the Contract Analytics Engineer Dbt is more technical and development-oriented, whereas Data Analysts focus on analysis and reporting.

More about Contract Analytics Engineer Dbt jobs
What cities are hiring for Contract Analytics Engineer Dbt jobs? Cities with the most Contract 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 Contract Analytics Engineer Dbt jobs? States with the most job openings for Contract Analytics Engineer Dbt jobs include:
What job categories do people searching Contract Analytics Engineer Dbt jobs look for? The top searched job categories for Contract Analytics Engineer Dbt jobs are:
Infographic showing various Contract Analytics Engineer Dbt job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% Hybrid, and 50% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

Data Engineer (DBT Specialist)

ACS Consultancy Services

Albany, NY • Remote

$117K - $140K/yr

Other

Posted 21 days ago


Job description

Job Title: Data Engineer (DBT Specialist)

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Design and implement scalable data models and transformation pipelines using DBT (Data Build Tool).
  • Build and maintain ELT workflows using tools like Airflow, Fivetran, or custom Python scripts.
  • Work with data warehouses such as Snowflake, BigQuery, or Redshift to optimize storage and performance.
  • Ensure data quality, governance, and consistency through testing, version control, and documentation in DBT.
  • Collaborate with analysts and stakeholders to understand data needs and deliver efficient, reusable models.
  • Monitor pipeline performance and troubleshoot issues across the data stack.
  • Implement and maintain CI/CD practices for analytics engineering.
  • Stay up-to-date with best practices in data modeling, pipeline architecture, and cloud data tools.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • Experience in data engineering or analytics engineering roles.
  • Strong hands-on experience with DBT in production environments.
  • Solid understanding of SQL and data warehousing principles.
  • Experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift).
  • Experience with Python or another scripting language for ETL/ELT tasks.
  • Experience with orchestration tools like Airflow, Prefect, or Dagster.
  • Git proficiency for version control and collaboration.
  • Strong communication and collaboration skills.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.