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Dbt Developer Jobs in Missouri (NOW HIRING)

Sr Engineer, BI - Onsite

Springfield, MO ยท On-site

$46.50 - $60.25/hr

Experience with dbt or similar transformation tools (preferred). * Familiarity with CI/CD pipelines and version-controlled analytics workflows (e.g., GitLab, Azure DevOps). * Experience working ...

Data Engineer

Chesterfield, MO ยท On-site +1

$113K - $136K/yr

... dbt (data build tool) or equivalent transformation frameworks Exposure to dimensional modeling and data warehousing best practices What Success Looks Like In 90 days: Deploy first cloud pipeline to ...

We're hiring an Analytics Engineer to support our Corporate HQ in Columbia, MO and we're looking ... Create/update data models in dbt to ensure scalable, robust data solutions * Convert business needs ...

Data Analytics Engineer

Saint Louis, MO ยท On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to ... dbt, SQL, AWS Redshift, Boomi, PowerBI , Git. * Ability to work on-site at least two days a week in ...

$81K - $111K/yr

Experience using DBT or similar data transformation frameworks. * Solid understanding of backend engineering principles, with the ability to review and contribute to application code when required.

$81K - $111K/yr

Senior Data Engineer FUGA is a subsidiary of Downtown Music Holdings and provides forward-thinking ... Build, maintain, and own data pipelines with Python, GCP, BigQuery, Airflow, dbt, and Spark

$81K - $111K/yr

Hands-on expertise with Databricks, dbt, Airflow, Python for data engineering, SQL, and data modeling. * Strong understanding of data warehousing architectures, orchestration, integration, quality ...

Collaborate with data engineers, analysts, and business stakeholders to define requirements ... Experience with Python, Spark, or DBT for data transformations. * Knowledge of BI/Analytics tools ...

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Dbt Developer information

See Missouri salary details

$16

$49

$76

How much do dbt developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for dbt developer in Missouri is $49.56, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $60.67 per hour, depending on experience, location, and employer.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

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

To thrive as a DBT Developer, you need strong SQL expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is a Dbt Developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a DBT Developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.
What are popular job titles related to Dbt Developer jobs in Missouri? For Dbt Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Dbt Developer jobs in Missouri look for? The top searched job categories for Dbt Developer jobs in Missouri are:
Infographic showing various Dbt Developer job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 19% Part Time, 6% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $103,091 per year, or $49.6 per hour.
Data & Integration Ops Engineer

Data & Integration Ops Engineer

Focus Financial Partners

Saint Louis, MO โ€ข On-site

$111K - $133K/yr

Full-time

Posted 18 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.
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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.