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Contract Analytics Engineer Dbt Jobs (NOW HIRING)

Analytics Engineer

New York, NY · On-site

$145K - $190K/yr

We're looking for an Analytics Engineer who will own the semantic layer of our data, building and ... Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing to catch ...

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 ...

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

Birmingham, AL · On-site

$98K - $134K/yr

They are seeking a Senior Analytics Engineer to own and maintain dbt models, data pipelines, and ... Responsibilities : • Our dbt model library -- keeping models clean, tested, documented, and ...

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 ...

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

$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 ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales ... Experience using dbt and Snowflake is desirable * Demonstrated knowledge of how agents interact ...

... dbt, and Power BI for a contact opportunity for one of our clients. In this role, you will lead ... contract position is $65.00 - $95.00 per hour, depending on experience. The range displayed ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an ... Proficiency in SQL and dbt for data transformation, automation, and modeling. * Experience building ...

Analytics Engineer

$160K - $190K/yr

We're looking for an Analytics Engineer to own the data models, metrics, and dashboards the company ... Build and maintain dbt models that define how we measure the business. * Design and maintain ...

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 ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an ... Proficiency in SQL and dbt for data transformation, automation, and modeling. * Experience building ...

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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.
Rise Analytics - Sr Analytics Engineer

Rise Analytics - Sr Analytics Engineer

Trellance LLC

Tampa, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Title of Position: Sr Analytics Engineer

FLSA Status: Exempt

Position reports to: AVP, Cloud Engineering

Reporting to this Position: n/a


Rise Analytics is a data and analytics technology company and a wholly owned subsidiary of Trellance, focused on helping financial institutions unlock the full value of their data. Through its cloud-native analytics platform, Rise enables credit unions and banks to integrate, analyze, and activate data across the organization to drive smarter decisions, improve member experiences, and accelerate growth. The platform combines a modern data lakehouse architecture with advanced analytics, AI-driven predictive models, and purpose-built solutions for marketing, lending, finance, and risk. Rise Analytics serves a growing network of financial institutions and partners that rely on its technology to transform data into actionable intelligence.

Overall Responsibility: Rise is hiring a Senior Analytics Engineer to design, build, and ship end-to-end analytics for s on our modern data platform (Snowflake + dbt) and own Power BI semantic models and dashboards. You’ll span data engineering (ingest/model/optimize), analytics engineering (business-ready marts), and BI (data modeling in Power BI, DAX, report development, governance), deliver production-grade solutions and enabling stakeholder teams.

Essential Functions:

  • Lead end-to-end technical delivery: discovery to go-live; translating business needs into scalable data models, dashboards, and KPIs.
  • Conduct design workshops define acceptance criteria and release plans focused on measurable impact.
  • Develop AI-driven processes for efficient engagement delivery; contribute accelerators (dbt packages, Power BI templates) and playbooks.
  • Architect and implement ELT pipelines in Snowflake (LZ/Bronze/Silver/Gold); build dbt models with CI/CD, tests, and lineage.
  • Automate Snowflake provisioning via Terraform; enforce security and governance.
  • Design Power BI semantic layers: star schema, DAX, Power Query, RLS/OLS; optimize performance (DirectQuery, aggregations, composite models).
  • Manage Power BI Service artifacts (workspaces, pipelines, refresh strategies); define UI/UX standards and reusable components.
  • Deliver dashboards, enablement sessions, and documentation (data dictionaries, runbooks); coach analysts and power users.
  • Implement automated data quality checks, monitoring, and alerting.
  • And Other Duties as assigned.

KNOWLEDGE SKILLS & ABILITIES

Position Requirements:

Minimum Education/Experience: Bachelor’s degree (BA or BS) from an accredited college or university. Minimum of seven (7) years of experience in software engineering, with a minimum of three (3) years managing successful product development OR a high school diploma with a minimum of twelve (12) years of experience in software engineering.

Company / Industry Knowledge: Prior experience in banking, credit unions or financial services industries is strongly preferred.

Required Qualifications:

  • 5–8+ years delivering data/BI solutions;
  • 3–5+ years in consulting and solution architecture.
  • 1–3+ years financial services experience (credit unions/community banks).
  • Expertise in dbt/dbt Cloud (modular modeling, tests, macros, CI/CD).
  • Power BI expert: Dimensional modeling, DAX, Power Query (M), governance, security (RLS/OLS).
  • Skilled in Snowflake/cloud DW: SQL performance, design, tuning.
  • Strong fundamentals in data modeling (Kimball/semantic), metrics design, and visualization.
  • Proficient in performance optimization, enterprise lifecycle practices.
  • Excellent communication and stakeholder management.
  • Exceptional communication, conflict resolution, and impediment removal skills

Other Skills & Abilities:

  • Financial Services expertise (core systems, lending, ALM, GL data).
  • Skilled in data movement (Estuary, Fivetran) and orchestration (Airflow, cloud-native).
  • Python for ELT utilities/testing; CI/CD with Azure DevOps & GitHub.
  • Knowledge of RBAC and workload separation (ETL vs BI).
  • Experience with metrics layers, tabular modeling (SSAS Tabular), and Power BI migration.
  • Adept at fostering transparency, communication, and adaptability in a fast-paced, demanding environments.