Description

ABOUT THE ORGANIZATION

Tulsa For You and Me is a portfolio of talent and economic development programs working to strengthen Tulsa’s long-term economic vitality, expand access to opportunity, and build a more vibrant and inclusive city. Operated under the stewardship of the George Kaiser Family Foundation® (GKFF®), affiliated programs include nationally recognized organizations such as Tulsa Remote, LLC, Tulsa Innovation Labs, LLC, Build In Tulsa, LLC, Experience Tulsa, Atlas School, LLC, Campus Tulsa program, Tulsa Service Year program, and others.

Integrated Strategies is Tulsa For You’s centralized data, systems, and analytics team, helping programs operate more effectively, make better decisions, and scale with stronger internal infrastructure. The team’s work spans Data & Systems, CRM Platform Solutions, and Analytics—building the data environments, technical solutions, and analytical insight needed to support cross-program execution.

ABOUT THE ROLE

In this position, you will serve as a key technical contributor within Tulsa For You’s Data & Systems environment, helping build and maintain the backend infrastructure that powers reporting, analytics, cross-system integrations, and reliable organizational data operations.

This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational databases, and backend systems integration. You will support the full lifecycle of organizational data movement—from ingestion and transformation through warehouse optimization, monitoring, troubleshooting, and long-term systems improvement—ensuring analysts and program teams have reliable, well-structured, and trustworthy data to support decision-making.

Success in this role requires high initiative, strong resourcefulness, and comfort operating in an environment where not every solution is predefined. The ideal candidate is someone who enjoys digging into unfamiliar technical problems, researching viable paths forward, and collaborating with others to build practical solutions in a dynamic setting.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

Data Engineering & Systems Management

Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support reliable and efficient data operations across the organization.
Design and implement backend integrations for new and existing data sources—including APIs, databases, file-based feeds, cloud platforms, and third-party systems—to ensure accurate and dependable data movement.
Develop, test, deploy, and support reusable data workflows, transformation jobs, warehouse objects, scripts, and related engineering components.
Monitor pipeline, integration, and warehouse performance; proactively troubleshoot failures, optimize system reliability, and resolve data processing issues.
Establish and maintain logging, alerting, automated monitoring, and data quality controls that strengthen visibility, issue detection, and long-term operational stability.
Support secure data handling, system access controls, and governance practices to ensure organizational data is managed responsibly and in accordance with internal standards.

Systems Improvement & Technical Collaboration

Strengthen backend data architecture, engineering standards, and technical workflows to improve maintainability, scalability, and delivery speed.
Evaluate and apply modern tools, technologies, and engineering practices that improve the resilience and effectiveness of the overall data environment.
Create and maintain technical documentation across pipelines, integrations, warehouse models, and backend workflows to support team continuity and long-term sustainability.
Partner closely with analysts, technical teammates, vendors, and internal stakeholders to ensure backend data systems reliably support reporting, analytics, and operational decision-making.
Other duties as assigned.

Requirements

Education & Experience:

4+ years of professional experience in data engineering, cloud data infrastructure, backend integrations, or related technical roles supporting enterprise data environments.
3+ years of hands-on experience developing and maintaining production-grade data pipelines, transformations, and backend workflows using Python.
Demonstrated experience building or supporting API-based integrations and automated cloud data workflows across multiple systems.
Experience working within version-controlled development environments and applying collaborative software engineering practices.

Skills & Abilities:

Strong capability designing and building reliable, scalable data pipelines and backend data workflows in cloud-based environments.
Strong command of SQL, relational databases, and data modeling concepts, with the ability to structure and optimize data for downstream use.
Proven ability to integrate and manage data across multiple systems, including APIs, databases, cloud services, and third-party platforms.
Strong understanding of modern software engineering and deployment practices, including version control, testing, code review, and release workflows.
Strong working knowledge of cloud environments and the core services that support data systems, including storage, compute, orchestration, monitoring, and security.
Strong troubleshooting and problem-solving ability, with a focus on diagnosing failures, improving system reliability, and maintaining data integrity.
Ability to operate effectively in evolving technical environments, bringing structure, sound judgment, and continuous improvement to systems and processes.
Ability to work independently and collaboratively with technical teammates, vendors, analysts, and internal stakeholders.
Strong written and verbal communication skills, including the ability to document systems clearly and explain technical concepts to technical and non-technical audiences.

Preferred Qualifications:

Experience designing and supporting cloud-based data solutions within GCP and Azure strongly preferred
Exposure to Infrastructure as Code (IaC), deployment automation, or related practices used to manage cloud-based technical environments..
Experience working in Agile, sprint-based technical environments and using workflow management tools such as Jira and/or JSM.

Physical Requirements:

Position requires prolonged periods of sitting and working at a computer, including regular use of a keyboard and other standard office equipment.
Position requires the ability to read, analyze, and visually review technical information and digital systems for extended periods of time.
Position requires limited travel, predominantly for professional development and relevant organizational needs.

Hours & Location:

You must live in or be able to relocate to Tulsa, OK or the surrounding area.
This is a hybrid position within an in-office leaning, highly collaborative work environment. Team members are generally expected to work onsite a minimum of three days per week, with additional hybrid flexibility available based on business needs, work demands, and supervisor approval.
This is a full-time position with an expectation of working 40 hours per week.
The typical hours of operation are Monday through Friday, 8:00 a.m. to 5:00 p.m. with flexibility required for various events, meetings, and relevant business needs.

Benefits:

As part of our overall compensation package, we offer work/life flexibility, comprehensive health benefits, paid time off, and generous retirement contributions designed to support you and your family.

100% employer paid medical, dental, and long-term disability for full-time employees only. Option to add vision and dependents.
401(k) employee and employer contributions.
Paid time off to support you while you are out of the office.
Paid holidays so our employees can spend time with those they care about.
Employer-paid AD&D life insurance, with employee option to add supplemental life insurance.