SENIOR DATA ENGINEER
Company: US Neuro LLC
Role summary
SENIOR DATA ENGINEER is a full-time role at US Neuro LLC in Fort Worth, Texas, United States (hybrid). Posted 2026-10-03. Experience level: 2-5.
- Job title
- SENIOR DATA ENGINEER
- Company
- US Neuro LLC
- Location
- Fort Worth, Texas, United States
- Work arrangement
- hybrid
- Employment type
- full-time
- Category
- Data Science
- Experience level
- 2-5
- Date posted
- 2026-10-03
This is a fantastic opportunity for a skilled Data Engineer to build and manage critical data infrastructure that drives business decisions. You'll work with diverse data sources and collaborate across teams to create reliable data solutions, offering a chance to truly make an impact.
Job description
Description
Position Summary
The Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure that supports business intelligence, analytics, operational reporting, and data-driven decision-making. This role develops and manages data pipelines, integrates multiple data sources, promotes data quality, and collaborates with stakeholders across the organization to deliver reliable data solutions.
The ideal candidate combines strong technical expertise with business acumen and can translate operational requirements into efficient, scalable data architecture.
Essential Duties and Responsibilities
Data Architecture and Engineering
Design, develop, and maintain enterprise data pipelines and workflows.
Build and optimize ETL/ELT processes that move data between source systems and data warehouses.
Manage data integration across platforms, databases, APIs, and third-party applications.
Develop and maintain data models that support reporting, analytics, and operational needs.
Implement scalable cloud-based data solutions.
Data Quality and Governance
Establish and maintain data validation, cleansing, reconciliation, and monitoring processes.
Identify and resolve data discrepancies, duplicate records, and integrity issues.
Support master data management and source-of-truth initiatives.
Apply organizational data governance, privacy, and security standards.
Reporting and Analytics Support
Partner with business leaders, analysts, and operational teams to define reporting requirements.
Deliver trusted datasets and data structures that support dashboards, KPIs, and business intelligence tools.
Optimize data delivery processes to improve reporting accuracy, timeliness, and efficiency.
Support advanced analytics, forecasting, automation, and responsible AI initiatives.
Performance Optimization
Monitor and improve database, query, and pipeline performance.
Troubleshoot data processing issues and implement sustainable corrective actions.
Automate manual data collection, validation, and reporting processes.
Identify opportunities to improve reliability, scalability, and cost efficiency.
Collaboration and Documentation
Work closely with business stakeholders, developers, analysts, vendors, and leadership.
Document data flows, system architecture, business rules, processes, and standards.
Participate in requirements gathering, project planning, testing, deployment, and change management.
Provide technical guidance and mentoring as appropriate.
Required Qualifications
Education
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, or a related field.
Equivalent relevant experience may be considered in lieu of education.
Experience
Three or more years of experience in data engineering, database development, or a related data management role.
Demonstrated experience building and maintaining production ETL/ELT pipelines.
Experience working with large structured and unstructured datasets.
Experience supporting business intelligence and analytics environments.
Technical Skills
Healthcare industry experience.
Knowledge of HIPAA and healthcare data privacy requirements.
Advanced SQL skills and proficiency in Python or a comparable programming language.
Experience with a major cloud platform such as Microsoft Azure, AWS, or Google Cloud.
Knowledge of data warehousing, dimensional modeling, APIs, data integration, and automation frameworks.
Experience with relevant tools such as Azure Data Factory, Databricks, Snowflake, SQL Server, PostgreSQL, Power BI, Tableau, Apache Spark, or Airflow.
Experienced leading a team of 2 or more employees.
Preferred Qualifications
Experience supporting EMR/EHR, revenue cycle, billing, claims, provider, or clinical data environments.
Experience with machine learning, AI, or advanced analytics platforms.
Relevant cloud or data engineering certification.
Key Competencies
Analytical problem solving • Data governance and quality management
Process improvement and automation • Project planning and execution
Stakeholder communication • Attention to detail
Business acumen • Collaboration and technical leadership
Physical and Work Requirements
Prolonged periods of sitting and computer use.
Ability to work effectively in an office, hybrid, or remote environment as assigned.
Equal Employment Opportunity
US Neuro is an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without unlawful discrimination. Reasonable accommodations will be considered in accordance with applicable law.