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Dbt Analytics Jobs in Missouri (NOW HIRING)

Zefr

Senior Data Engineer

California, MO · On-site

$160 - $180/hr

... analysis, and/or data engineering * Expert in building workflows using dbt and SQL. * Strong experience with Python * Knowledge of systems engineering principles and product lifecycle management

New

Perficient

Snowflake solutions Architect

Saint Louis, MO · On-site

$59 - $77.75/hr

The Snowflake DBT Architect provides technology direction, ensures project implementation ... Utilize analytical, process, and/or technical skills to meet project objectives and deliverables ...

All Generation Tech

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

... dbt Labs, and Astronomer * Develop and optimize data solutions using Snowflake for data ingestion, storage, processing, and analytics * Implement ETL/ELT processes and support data modeling and data ...

Jobgether

This is a high-impact analytics role within a fast-moving mobile gaming environment, where data ... Experience with dbt is an advantage. Benefits: * Flexible benefit budget that can be allocated ...

Perficient

Lead Data Scientist

Saint Louis, MO · On-site

Experience working within client's machine learning and analytics ecosystem, including AWS and dbt, will significantly accelerate onboarding and enable rapid contribution to key initiatives.

Perficient, Inc.

Lead Data Scientist

Saint Louis, MO · On-site

Experience working within client's machine learning and analytics ecosystem, including AWS and dbt, will significantly accelerate onboarding and enable rapid contribution to key initiatives.

Stellar IT Group

Snowflake SME

Saint Louis, MO · On-site

Experience with Python, Spark, or DBT for data transformations. * Knowledge of BI/Analytics tools (Tableau, Power BI, Looker). * Exposure to multi-cloud environments and hybrid data strategies.

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All JobsDbt Analytics JobsDbt Analytics Jobs in Missouri

Dbt Analytics information

See Missouri salary details

$35.2K

$59.9K

$86.3K

How much do dbt analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for dbt analytics in Missouri is $59,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $66,600.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt in demand?

Dbt analytics engineers are increasingly in demand as organizations adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field, which is growing alongside the broader data analytics industry.

What are popular job titles related to Dbt Analytics jobs in Missouri?

For Dbt Analytics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Dbt Analytics jobs in Missouri look for?

The top searched job categories for Dbt Analytics jobs in Missouri are:

What cities in Missouri are hiring for Dbt Analytics jobs?

Cities in Missouri with the most Dbt Analytics job openings:

Dbt Analytics jobs near you
Infographic showing various Dbt Analytics job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $59,942 per year, or $28.8 per hour.

Data & Integration Ops Engineer

Focus Financial Partners

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 27 days ago

Job description

Position Summary
The Data & Integration Ops Engineer is an experienced data engineering professional responsible for the stable, secure, and efficient operation of Focus's data platforms and integration pipelines. This role bridges data engineering and operations - applying DataOps and DevOps best practices to own SLAs, monitor systems proactively, and resolve issues before they impact the business. You'll work closely with data engineers, analytics engineers, and platform teams to ensure data is delivered accurately and on time. The ideal candidate is a data engineering expert with a passion for operational excellence, a keen eye for detail, and the ability to troubleshoot complex systems in real-time.
This is a hybrid role with 3 days/week onsite in St. Louis.
Primary Responsibilities
  • Data Pipeline Operations & Reliability: Oversee the end-to-end operation of data pipelines (ELT workflows) across development, UAT, and production environments. Monitor pipeline schedules (e.g., Airflow DAGs) and ensure on-time data delivery to meet or exceed defined SLAs for data availability and quality.
  • Integration Pipeline Operations: Monitor and troubleshoot integration workflows across Azure Integration Services (Logic Apps, Event Hub, AKS-based transformation jobs) that move data between source systems (e.g., Salesforce FSC) and downstream targets. Diagnose failures in integration code and coordinate with Infrastructure/Cloud Engineering and Cyber teams when issues trace back to underlying Azure infrastructure.
  • Incident Response & Recovery: Act as the primary point of contact for data platform incidents during business hours, diagnosing issues in real-time and coordinating rapid recovery efforts. Lead root cause analysis and implement preventive measures to minimize future disruptions.
  • Operational Governance & Compliance: Serve as a steward of the data platform, managing production data access and governance. Administer Snowflake RBAC and access policies, and audit write-access permissions to production datasets and systems to ensure data integrity, security, and compliance with internal policies and industry regulations.
  • Deployment Support & Release Management: Collaborate with data engineers and analytics engineers to facilitate deployments of new data models, transformations (e.g., dbt models), and pipeline code. Conduct code reviews and enforce deployment gates to ensure that only well-tested, high-quality code moves into production. Work with DevOps and platform teams to refine continuous integration/continuous deployment (CI/CD) processes for data pipelines, using GitHub Actions and GitHub-native deployment workflows.
  • Troubleshooting & Performance Optimization: Identify and troubleshoot pipeline failures or data quality issues, including root cause diagnosis of failed dbt transformations or upstream data problems. Optimize pipeline performance (e.g., query tuning, resource scaling) across both data pipelines and integration workflows to improve throughput and reduce latency, ensuring robust performance of the data platform.
  • Platform Monitoring & Improvement: Implement monitoring, logging, and alerting for data workflows and platforms, using these tools to proactively detect anomalies. Analyze performance metrics and incident patterns to drive continuous improvements, such as enhancing resiliency, refining SLAs, and updating processes to prevent recurring issues.
  • Cross-Team Collaboration: Work closely with Data Engineering, Analytics, Infrastructure/Cloud Engineering, Cyber, and IT Ops teams to prioritize and address production data issues. Provide guidance and mentorship on operational best practices to other data team members, fostering a culture of reliability and quality.

Required Skills
  • Data Pipeline & Orchestration: Strong hands-on experience with data workflow management systems (especially Apache Airflow/Astro for DAG orchestration) and familiarity with scheduling, monitoring, and maintaining complex DAGs in production.
  • Data Transformation & Tools: Proficiency with SQL and data transformation frameworks like dbt (Data Build Tool) for building and troubleshooting data models. Capability to debug SQL queries and pipeline scripts to resolve data quality or performance issues in a timely manner.
  • Programming & Scripting: Advanced programming skills in Python (or similar languages) for writing data pipeline jobs and automation scripts. Experience with version control (e.g., Git) and understanding of CI/CD tools/processes for deploying data pipelines and platform changes.
  • Monitoring & Incident Response: Experience implementing monitoring and alerting systems (using tools such as logging frameworks, observability dashboards) to track SLAs, runtime metrics, and quickly detect pipeline failures. Skilled in systematic troubleshooting and root cause analysis for complex systems under pressure.
  • Data Platforms & Cloud: Solid understanding of Snowflake (RBAC, secure views, dynamic tables, resource monitors) and Astro/Airflow, including their operational aspects (performance tuning, security, monitoring). Strong working knowledge of Azure services relevant to data and integration pipelines (networking basics, APIM, Event Hub, AKS, Logic Apps).
  • Scope Boundary: This role troubleshoots integration and pipeline code within these environments but does not own infrastructure-as-code or infrastructure deployments, which are managed by the Infrastructure/Cloud Engineering team.
  • Communication & Collaboration: Excellent problem-solving abilities, with strong communication skills to coordinate across engineering, analytics, and operations teams. Demonstrated ability to document processes, produce runbooks, and clearly communicate during incident management.

Qualifications
  • Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent hands-on experience. Formal degree requirements are secondary to a demonstrated track record of operating production data systems.
  • Experience: Typically 5+ years of professional experience in data engineering, data operations (DataOps), or a related field, including substantial experience managing production data pipelines and platforms. Experience applying DevOps, DataOps, or SRE practices to production data systems is highly desirable. Experience with cloud integration platforms (e.g., Azure Integration Services, MuleSoft, Boomi) is a plus.
  • Expertise: Proven track record of operational excellence in a data-focused environment - e.g., owning and improving SLAs, handling production incidents, and implementing robust automation. Familiarity with industry best practices in DataOps/Data Engineering and data governance standards.
  • Industry: Experience in financial services, wealth management, or other regulated industries is a plus.
  • Working Style: Demonstrated ability to work independently, manage priorities, and take ownership of data products from design through ongoing support.

This position is an exempt position. The annualized base pay range for this role is expected to be between $110,000 - $130,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other reward may include an annual cash bonus and a comprehensive benefits package.
#LI-KJ2
About Focus Financial Partners
Focus is a leading financial services firm comprised of integrated wealth management, family office, and business management services. Blending deep expertise and expansive resources with a boutique, client-first fiduciary philosophy, Focus helps individuals, families, and institutions navigate complex financial situations with highly personalized solutions tailored to their unique needs. To learn more about Focus, visit www.focusfinancialpartners.com or follow the company on LinkedIn.
Focus is an equal opportunity employer and bases its employment decisions on the employee or candidate's skillset, and without regard to an employee or candidate's race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by local, state and/or federal law.
Focus complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact careers@focuspartners.com.
The following language is for US based roles only
For California Applicants: Information on your California privacy rights can be found here
For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability.
For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901.
For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state's workers' compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers' Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.

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