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Remote Dbt Sql Jobs in Kansas (NOW HIRING)

$125K - $165K/yr

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$125K - $165K/yr

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Remote, U.S. - based Department: GTM Ops The Opportunity Agent Systems Engineer is what we call ... You write SQL fluently. You live in APIs. You've shipped production GTM automation that other ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ...

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Proficiency in Python, SQL, and Terraform for automated, scalable data engineering * Working ...

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Proficiency in Python, SQL, and Terraform for automated, scalable data engineering * Working ...

Remote Dbt Sql information

What is a remote dbt sql developer?

A Remote DBT SQL Developer is a professional who specializes in using DBT (Data Build Tool) and SQL (Structured Query Language) to transform, model, and manage data pipelines, all while working remotely. They are responsible for writing and maintaining SQL-based models, testing data quality, and automating data workflows within analytics engineering teams. Working remotely allows them to collaborate with teams from various locations, using cloud-based tools to ensure data reliability and accessibility.

What are the key skills and qualifications needed to thrive as a remote dbt sql developer?

To excel as a Remote DBT SQL Developer, you need strong SQL skills, experience with data modeling, and a solid understanding of ETL processes, often supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is typically required. Excellent problem-solving, attention to detail, and effective remote communication help set outstanding professionals apart in this role. These skills and tools ensure efficient, high-quality data pipeline development and collaboration across distributed teams.

What are some common challenges faced by remote dbt sql professionals, and how can they be addressed?

Remote DBT SQL professionals often encounter challenges such as maintaining clear communication with team members, ensuring data model consistency, and troubleshooting issues without immediate in-person support. To overcome these, it's important to leverage collaboration tools, establish thorough documentation practices, and participate in regular virtual meetings. Staying proactive in seeking feedback and aligning with project standards also helps ensure smooth remote workflows and successful data transformations.

What is the difference between Remote Dbt Sql vs Data Analyst?

AspectRemote Dbt SqlData Analyst
Required SkillsSQL, data modeling, Dbt framework, ETL processesSQL, data visualization, statistical analysis
CertificationsNone mandatory, familiarity with Dbt preferredNone mandatory, often certifications like Microsoft or Tableau
Work EnvironmentRemote, data engineering or analytics teamsRemote or on-site, business or marketing teams
Industry UsageData engineering, analytics, BI teamsBusiness intelligence, marketing, finance

Remote Dbt Sql roles focus on building data pipelines and models using Dbt and SQL, often within data engineering teams. Data Analysts interpret data, create reports, and visualize insights, sometimes using SQL but with less emphasis on data modeling frameworks. Both roles may be remote and require SQL skills, but their core responsibilities and tools differ significantly.

What are popular job titles related to Remote Dbt Sql jobs in Kansas?

For Remote Dbt Sql jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Remote Dbt Sql jobs?

Cities in Kansas with the most Remote Dbt Sql job openings:

Infographic showing various Remote Dbt Sql job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer

Locatee AG

On-site, Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

*Applicants must be authorized to work in the U.S. for any employer. *We cannot sponsor employment-based visas at this time

About The Company: With hundreds of customers across more than 140 countries, Tango is the leader in cloud-based Software-as-a-Service (SaaS) solutions use to manage the end-to-end real estate and facilities lifecycles. Tango's Store Lifecycle Management and Integrated Workplace Management System software, deliver a single solution spanning real estate, design & construction, lease administration & accounting, facilities maintenance, occupancy management, energy & sustainability, desk booking, visitor and space management. We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering team.

Key Responsibilities: Data Pipeline Ownership Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services (Glue, Lambda, Step Functions, S3). Develop automated workflows to ingest, transform, and validate large volumes of structured and semi-structured data. Monitor pipeline performance, reliability, and cost efficiency; implement proactive improvements.

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that reaches the warehouse is modeled in dbt and validated against source. Database & Warehouse Management Manage and optimize production databases (Postgres, TimescaleDB) and our OLAP data warehouse (Redshift, etc).

Implement database performance tuning, indexing strategies, query optimizations, and schema evolution best practices. Oversee data retention, partitioning, and backup/restore strategies. Data Quality & Governance Build automated data validation frameworks and anomaly detection, anchored in dbt tests and source-reconciliation checks.

Establish and enforce data quality SLAs across ingestion and reporting layers. Maintain metadata, lineage, and documentation standards to support auditability (SOC 1/2, ISO). Cross-Functional Collaboration Work with application engineering teams to design APIs, microservices, and data contracts.

Support Product and Data Analytics teams with curated datasets and high-performance query patterns. Troubleshoot production issues and improve observability using monitoring and alerting tools (CloudWatch, Datadog, etc.). Required Skills: 5+ years of professional experience as a Data Engineer or similar role

Strong expertise with Python and SQL, and modern data engineering frameworks. Deep experience with AWS data services (Glue, Lambda, Step Functions, S3, Redshift, RDS/Postgres). Hands-on experience with ETL/ELT pipeline design, orchestration, and performance tuning.

Strong experience with production databases (Postgres, TimescaleDB, etc.). Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads. Experience with data quality frameworks, validation, and monitoring

Production experience with dbt: building and testing models, managing sources and lineage, structuring a project across staging/intermediate/mart layers and running it in CI. Experience with Git-based workflows and CI/CD for data: pull requests, code review and automated testing of transformations. Preferred: Experience with time-series data and high-volume ingestion pipelines.

Background in the Energy, Sustainability, or IoT data domain. dbt Semantic Layer or comparable metrics-layer experience (Cube, LookML, Omni semantic models). What We Offer We're committed to creating an environment where you can thrive-professionally and personally.

Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value. Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.

Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice. Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.

Base pay offered is contingent on qualifications and other operational considerations. Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us.

Base pay offered for this position is: $125,000 - $165,000