IT Data Engineer
Company: Radiant Global Logistics Inc
Location: Renton
Posted on: February 1, 2025
Job Description:
IT Data Engineer
- Job Type: Full-Time (On-site)
- Location: Renton, WA
- Salary Range: $140,000 - $180,000 Annual Salary Range
Objective:Radiant's Data Engineers are key contributors to shaping
data architecture and providing actionable insights by leveraging
advanced statistical, algorithmic, and visualization techniques
with cutting-edge tools. The Data Engineer will drive data
engineering efforts, focusing on designing and optimizing data
pipelines, ensuring compliance with data governance and security
standards, and empowering business units with data-driven
decision-making.This role combines technical acumen with
creativity, as the Data Engineer will be instrumental in
modernizing data infrastructure and promoting best data practices
across the organization.
Key Responsibilities:As a Data Engineer, you will:
- Build & Optimize Data Pipelines: Design, implement, and
maintain efficient and scalable data pipelines, ensuring smooth
data flow from sources to integration points for consumption by
analytics and business users. Prioritize automation and
optimization to reduce manual processes increase efficiency.
- Data Warehouse & Repository Management: Build and manage data
repositories such as data warehouses and lakes, supporting business
needs by creating data models, managing schemas, and ensuring
consistency and accuracy across various data sets.
- Automation & Metadata Management: Leverage innovative tools to
automate repetitive data task and improve the productivity of the
data engineer process. Focus on intelligent metadata management to
streamline integration, improve quality and reduce errors.
- Collaborate with Stakeholders: Serve as the primary interface
between technical teams and business data owners. Work closely with
business analysts, IT experts, and subject matter experts to
understand data requirements and create solutions that align with
business objectives.
- Data Governance & Security Compliance: Ensure adherence to data
governance, security, and privacy standards, particularly in
regulated environments. Work closely with governance teams to
implement certifications and ensure compliance with internal and
external data regulations.
- Create & Manage Expert Dashboards: Design and build dynamic,
real-time dashboards using visualization tools that enable business
users to access actionable insights from complex datasets.
- Data Science & AI Integration: Collaborate with data scientists
and analytics teams to optimize and operationalize data science
models and algorithms, integrating them into business
processes.
- Evangelize Data Management Best Practices: Act as a champion
for data governance, best practices in data management, and the
effective use of data across the organization. Foster a culture of
data literacy by educating teams about data tools and
techniques.
- Support Proof of Concepts (POCs): Collaborate with
cross-functional teams to build and refine proof-of-concept models
for new data tools, platforms, or methodologies. Qualifications:To
be successful in this role, you will need:
- Educational Requirements: Bachelor's degree in Computer
Science, Information Systems, Data Management, or a related field.
Master's degree or equivalent experience is preferred.
- Work Experience: At least 6 years of experience in data
engineering, data integration, and analytics solutions, including
3+ years working with cross-functional teams and delivering data
management solutions.
- Data Architecture Expertise: Extensive experience working with
data management frameworks such as Data Warehouses, Data Lakes,
Data Hubs, and supporting processes (e.g., data integration,
metadata management, governance).
- Data Pipeline Development: Strong proficiency in designing and
building data pipelines, including data transformation, modeling,
schema management, and optimization techniques using tools like
ETL, ELT, CDC, API integrations, and stream data technologies.
- Data Governance & Security: Experience working with data
governance, quality, and security teams to ensure adherence to best
practices and compliance standards.
- Advanced Database Knowledge: Proficiency with relational (SQL,
PL/SQL) and non-relational (NoSQL, MongoDB, Cassandra) database
management systems. Experience with advanced database optimization
and query performance tuning.
- Analytics & Machine Learning: Experience with data science
tools (R, Python, Scala) and familiarity with machine learning
model integration. Ability to work with data scientists to optimize
and scale models.
- Automation Skills: Experience automating data pipeline
development using tools like Airflow, Jenkins, Ansible, and Git,
and familiarity with DevOps/DataOps methodologies for continuous
integration and deployment.
- Collaboration & Communication: Proven ability to collaborate
with technical teams, business stakeholders, and cross-functional
departments to deliver data solutions. Strong verbal, written, and
presentation skills.
- Cloud & Hybrid Environments: Familiarity with cloud-based and
on-premises data architectures, containerization technologies
(Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Experience with BI Tools: Familiarity with BI tools (e.g.,
Tableau, PowerBI, Qlik) for data discovery.Work Schedule:
- Full-time, on-office position (minimum 8 hours per day).
- Flexibility to complete all required job duties while ensuring
responsibilities are covered during absences.Physical Requirements:
- Regular physical demands: Walk; sit; use hands to handle or
feel; use fingers for keyboarding; reach with hands and arms; talk
and hear.
FEATURED BENEFITSThis role is eligible for various benefits
including:Full-time:
- Insurance options for Employees (and their families) include
Medical, Dental, Vision, STD & LTD insurance.
- Health Savings Account with company contributions.
- Flexible Spending Account.
- Paid basic life insurance for employees.
- Employees can enroll in a 401(k) retirement savings plan with
employer match of 3.5%.
- Sick Pay: 80 hours front-loaded.
- Vacation Pay: 80 hours per year and increases based on tenure
with the Company.
- Paid Holidays: 7 per year.
- Employee Assistance Program. Salary Range: $140,000 - $1800,000
(Annual Salary) ** Starting pay for this role will vary based on
multiple factors, including but not limited to an individual's
education, work experience, skills, and job-related knowledge. Pay
ranges may be modified in the future.
ABOUT RADIANTLaunched in 2006, Radiant Global Logistics is a
publicly traded, third party logistics company providing
technology-enabled global transportation and value-added logistics
solutions primarily to customers based in the United States and
Canada. Through its comprehensive service offering, Radiant
provides domestic and international freight forwarding along with
truck and rail brokerage services to a diversified account base
including manufacturers, distributors and retailers which it
supports from an extensive network of Radiant and agent-owned
offices throughout North America and other key markets around the
world. Radiant's value-added logistics services include warehouse
and distribution, customs brokerage, order fulfillment, inventory
management and technology services. Radiant's network brands and
associated strategic operating partners have storied legacies
embodying decades of experience and service in the transportation
and logistics industry and include Airgroup, Adcom Worldwide,
Distribution By Air, SBA Global Logistic Services, as well as the
Radiant Brand itself. In all, It's the Network that Delivers! -
Radiant is an Equal Employment Opportunity (EEO) employer. It is
the policy of the Company to provide equal employment opportunities
to all qualified applicants without regard to race, color,
religion, sex, sexual orientation, gender identity, national
origin, age, protected veteran or disabled status, or genetic
information.
Compensation details: 140000-180000 Yearly Salary
PIa919cfe7db19-37248-36330461
Keywords: Radiant Global Logistics Inc, Edmonds , IT Data Engineer, Engineering , Renton, Washington
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