Data Engineer

System One; Tulsa (OK); On-site; USD 85,000 - 110,000; Full time

Job summary

A leading technology services provider is seeking a Data Engineer in Tulsa, OK. The role involves building robust data pipelines and ensuring data quality across systems. Candidates should have over 5 years of experience with Power BI and SQL. This full-time, onsite position offers competitive benefits including health insurance and a 401(k) plan.

Benefits

Health insurance

401(k) plan

Dental and vision coverage

Life insurance

Qualifications

• 5+ years of experience in data operations, data engineering, or a related role.
• Proficiency with data integration, pipeline development, and database management.
• Experience with cloud-based data solutions and integration tools.

Responsibilities

• Develop and maintain data pipelines for efficient data processing.
• Perform routine database maintenance tasks, including performance tuning.
• Collaborate with stakeholders to define internal data processes.

Skills

Data management principles

Microsoft SQL

Power BI

API-based ETL/ELTs

Cloud platforms

Python

Problem-solving skills

Analytical abilities

Communication skills

Collaboration skills

Tools

Azure

Snowflake

PowerShell

Azure DevOps

Job description

Position

Data Engineer – Tulsa, OK (onsite)

System One has an exciting Data Engineering opportunity with a partner in the Tulsa, OK area. This position will be responsible for working with complex data sets across an organization spanning multiple states. The qualified candidate will possess at least 5 years of in-depth use of Power BI and SQL. This is a fully onsite role in Tulsa, Oklahoma.

Successful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.

Position Summary:

The Data Engineer will be responsible for building and maintaining robust data pipelines, integrating data from multiple sources, and supporting the overall data architecture. This role will also involve ensuring the integrity, consistency, and quality of data across systems, as well as supporting data operations related to mergers and acquisitions. You will collaborate with cross-functional teams to streamline data processes and enhance data-driven decision-making.

Responsibilities

• Data Integration and Automation — Develop and maintain data pipelines for efficient data processing, including ETL/ELT processes from various sources such as APIs and databases.
• Data Integration and Automation — Implement and automate processes to ensure data consistency, coherence, and integrity across various systems.
• Data Integration and Automation — Utilize tools and techniques to maintain data consistency, such as data matching and change capture.
• Database Administration and Support — Perform routine database maintenance tasks, including testing backups, performance tuning, alerting, and security patching.
• Database Administration and Support — Monitor database performance and troubleshoot issues to ensure optimal uptime and efficiency.
• Internal Data Processes — Collaborate with stakeholders to define and document internal data processes and procedures.
• Internal Data Processes — Support the adoption of approved datasets across the organization, focusing on data access over pre-built reports.
• Internal Data Processes — Provide ongoing support and training to users on data-related tools, systems, and processes.
• Internal Data Processes — Continuously evaluate and improve data processes to enhance efficiency and effectiveness.
• M&A Support — Develop and implement processes for onboarding new data sources and applications, especially those related to mergers and acquisitions.
• M&A Support — Cleanse, transform, and prepare data for analysis and reporting, ensuring data quality and accuracy.
• Other duties as requested or required.

Skills and Competencies

• Strong understanding of data management principles and best practices
• Proficiency in Microsoft SQL and Power BI
• Experience writing and maintaining API-based ETL/ELTs (Python preferred over ETL tools)
• Familiarity with cloud platforms (e.g., Azure, Snowflake)
• Expertise in scripting languages (e.g., Python, PowerShell)
• Knowledge of Azure DevOps or other source control platforms
• Strong problem-solving and analytical abilities
• Excellent communication and collaboration skills, with the ability to work cross-functionally with technical and non-technical stakeholders

Qualifications

• 5+ years of experience in data operations, data engineering, or a related role
• Proficiency with data integration, pipeline development, and database management
• Experience with cloud-based data solutions and integration tools
• A strong understanding of database performance optimization, security, and backup processes
• Ability to support data-centric processes and manage multiple data initiatives simultaneously

System One, and its subsidiaries, are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #208-Eng Tulsa