Job summary
Job post source
This job is directly from Trace3
Job overview
The Data Engineer at Trace3 is responsible for developing and managing large-scale data systems and supporting data science and analytics teams to optimize data and machine learning models, playing a key role in the company's data infrastructure and innovation.
Responsibilities and impact
The role involves designing and maintaining data warehouses, lakes, and pipelines, collaborating with data scientists to deploy machine learning models, ensuring data quality and compliance, troubleshooting data issues, and automating deployment processes to meet business needs.
Compensation and benefits
The position offers an estimated pay range of $60-$65 USD per hour, comprehensive medical, dental, and vision plans, a 401(k) with employer match, 529 College Savings Plan, health savings account, life insurance, long-term disability, competitive compensation, training programs, stocked kitchen, collaborative culture, and generous paid time off.
Experience and skills
Candidates must have a bachelor's degree or equivalent experience, 7+ years in data engineering or related fields, strong programming skills in Python and Terraform, knowledge of data architecture and pipeline tools like Apache Spark and Kafka, experience with AI/ML technologies, and strong communication skills; US citizenship is required.
Career development
Trace3 offers training and development programs supporting career growth within a dynamic and innovative environment.
Work environment and culture
Trace3 promotes a startup-like culture with a focus on innovation, teamwork, respect, and inclusivity, fostering a collaborative and supportive work environment.
Company information
Trace3 is a leading IT authority headquartered in Irvine, California, with over 1,200 employees nationwide, providing technology solutions and consulting services focused on integration, automation, and innovation.
Job location and travel
The company is headquartered in Irvine, California, with major offices across the US; the job location specifics are not detailed but imply US-based work with client requirements for US citizenship.
Application process
Applicants must meet US citizenship requirements and can apply directly to Trace3; the company does not accept unsolicited resumes from recruitment agencies.
Unique job features
This contract-to-hire position emphasizes infrastructure-as-code, automation, and collaboration with data science teams, offering unique opportunities to work on advanced data and machine learning projects with compliance and security focus.
Company overview
Trace3 is a leading technology consulting and solutions provider that specializes in leveraging advanced IT strategies to drive business innovation and transformation. They generate revenue by offering services in areas such as cloud computing, data intelligence, security, and IT operations. Founded in 2002, Trace3 has grown significantly through strategic acquisitions and partnerships, establishing a strong presence in the technology consulting industry. Their focus on emerging technologies and client-centric solutions positions them as a key player in helping organizations navigate the complexities of digital transformation.
How to land this job
Tailor your resume to highlight your expertise in designing and maintaining large-scale data systems, including data warehouses, data lakes, and data pipelines, showcasing your ability to meet business stakeholder needs as emphasized by Trace3.
Emphasize your programming skills in Python and Terraform, experience with data pipeline tools like Apache Spark, Kafka, and AWS Kinesis, and knowledge of AI and Machine Learning technologies, aligning with the core technical requirements of the role.
Apply through multiple channels such as Trace3's corporate careers page and LinkedIn to maximize your application visibility and ensure you don't miss any opportunities for this contract-to-hire position.
Connect with current Trace3 employees in the data engineering or cloud services divisions on LinkedIn; use ice breakers like commenting on Trace3’s innovative approach to integrating automation and AI or asking about their experience working in a startup-like culture within a scalable business.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'AWS Kinesis,' 'Terraform,' 'machine learning models,' 'data security,' and 'automation,' ensuring your resume passes initial screenings effectively.
Jennie Johnson's Power Apply feature can automate tailoring your resume, identify the best application platforms, and find relevant LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and advancing your career at Trace3.
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