Staff Database Engineer - Onsite

  • Dallas, TX
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

data engineering
software development
database systems
SSIS
ADF
SQL
Database
.NET
Java
Python
Azure
AWS
GCP
Kafka
SNS
RabbitMQ
CI
CD
Terraform
Kubernetes
RESTful API
data processing tools
data processing frameworks
data streaming
data lake
data source
data service
data architecture
data processing
data transformation
data analysis
data science
data solution
data systems
production system support
debugging
performance optimization
big data
healthcare data formats
cloud platforms
cloud systems
queuing technologies
infrastructure-as-code
containerized deployments
ETL
ELT
Electronic Health Records
EHR
pipeline development
system operations
logging
monitoring
alerting
incident response
architecture framework
modern tools
modern framework
flat files
streaming systems
warehouses
mesh architecture
Design
implement
problem solving
communication
collaboration
compliance

Job Details

Title: Staff Database Engineer - Onsite


Mandatory skills:


data engineering, software development, database systems,
SSIS, ADF,
SQL, Database,
.NET, Java, Python,
Azure, AWS, Google Cloud Platform, Kafka, SNS, RabbitMQ, CI, CD, Terraform, Kubernetes, RESTful API,
data processing tools, data processing frameworks, data streaming, data lake, data source, data service,
data architecture, data processing, data transformation, data analysis, data science, data solution, data systems,
production system support, debugging, performance optimization, big data, healthcare data formats,
cloud platforms, cloud systems, queuing technologies, infrastructure-as-code, containerized deployments,
ETL, ELT, Electronic Health Records, EHR,
pipeline development, system operations, logging, monitoring, alerting, incident response, architecture framework,
modern tools, modern framework, flat files, streaming systems, warehouses, mesh architecture,
Design, implement, problem solving, communication, collaboration, compliance


Description:


Overview:
We are seeking an experienced Staff Database Engineer (contractor) to design, build, and optimize complex data systems. This senior-level contractor will work across multiple domains including data architecture, pipeline development, and system operations.


Key Responsibilities:
Design and implement scalable and reliable data architectures that support large-scale data processing, transformation, and analysis.
Develop, maintain, and optimize ETL/ELT pipelines using modern tools and frameworks to move and transform data from diverse sources (flat files, streaming systems, REST APIs, EHRs, etc.).
Build and support high-performance, cloud-based systems for real-time and batch processing (e.g., data lakes, warehouses, and mesh architectures).
Collaborate with stakeholders across engineering, data science, and product teams to gather requirements and deliver actionable data solutions.
Interface with Electronic Health Records (EHR) and healthcare data formats to ensure integration accuracy and compliance.
Own operational excellence for data systems including logging, monitoring, alerting, and incident response.
Utilize advanced programming skills (.NET, Java, or similar) and SQL to engineer robust data services.
Contribute to architecture frameworks and documentation to guide team standards and best practices.
Act as a subject matter expert (SME), mentoring junior engineers and promoting engineering excellence across the organization.


Qualifications:
7 10+ years of professional experience in data engineering, software development, or database systems.
Proven experience with SSIS and ADF.
Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience.
Expertise in SQL, database systems, and modern data processing tools and frameworks.
Strong proficiency in at least one programming language (.NET, Java, Python, etc.).
Demonstrated experience with modern cloud platforms (Azure, AWS, or Google Cloud Platform).
Familiarity with data streaming and queuing technologies (Kafka, SNS, RabbitMQ, etc.).
Understanding of CI/CD pipelines, infrastructure-as-code (Terraform), and containerized deployments (e.g., Kubernetes).
Comfortable with production system support, debugging, and performance optimization.
Strong problem-solving, communication, and collaboration skills.
High-level understanding of big data design patterns and architectural principles (e.g., data lake vs. warehouse vs. mesh).
Experience with RESTful APIs and integrating external data sources into internal systems.

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.


Contact Details :


VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008

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About VIVA USA INC