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Added Mar 31, 2026 Data Engineer (46031) Remote | Contract Apply (https://evoportalus.tracker-rms.com/LRS/apply?jobcode=46031&shownonlrs=True)
For additional information on how we handle your data, seewww.LRS.com/privacy
What to do if you suspect fraud:
If you receive a suspicious offer or communication claiming to be from us, do not share any personal or financial information. You can notify us using our contact page atContact Levi, Ray & Shoup, Inc (https://www.lrs.com/contact/) .
IMPORTANT NOTES:
All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com.
Weneverconduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team.
LRS willneverask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment.
All genuine job opportunities are listed directly on our official careers portal atCareers (https://jobs.lrs.com/) .
Job Description
Codeworks, an LRS company, is seeking a Data Engineer for a Contract opportunity. This role offers the chance to apply your content strategy and UX writing skills in support of meaningful, user-focused work for one of our client partners.
We are a team of 8 data engineers, data scientists and data reporting analysts who work on workforce reporting, data analytics and insights.
JOB DESCRIPTION
The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics:
is responsible for designing, developing, deploying, and supporting cloud - based data and software solutions across the full software development lifecycle, adhering to centrally governed CI/CD pipelines and company development standards. This role partners closely with cross - functional team members to troubleshoot and resolve technical issues, conduct thorough code reviews, and contribute to architectural and technical decision - making while continuously recommending improvements to development and integration practices. The engineer applies strong expertise in AWS, Python, Spark, SQL, data integration patterns (ETL/ELT, event streaming, and real - time processing), infrastructure as code, containerization, and DevOps methodologies to deliver reliable, scalable, and high - quality solutions, effectively communicating complex concepts to both technical and non - technical audiences and maintaining a strong focus on data quality, operational excellence, and production stability.
Primary Duties & Responsibilities
Develop and deploy applications following the software development life cycle within the guidelines and controls of company development pipeline process
Troubleshoot and resolve technical issues that may arise during the development and deployment of technical projects
Conduct thorough code reviews to ensure compliance with established coding standards and best practices
Has an evolving understanding of system-wide architectural challenges
Contribute to technical discussions and decision-making processes within the team
Interacts and aligns with members of the team on technical approach
Recommend efficiencies to current established development and continuous integration practices
Qualifications
Bachelor's Degree or equivalent experience
4+ years professional AWS experience
4+ years of experience working with modern engineering tools, languages and practices
Proven track record of delivering significant and impactful technology solutions
2+ years' professional experience with Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming and Virtualization to support batch and real-time data needs.
Code Knowledge: Python, Apache Spark, SQL.
Experience with Agile methodologies/DevOps environment.
Strong understanding of database structures, theories, principles, and practices.
Strong understanding of Data Quality and Data Concepts.
E xperience with cloud-based development, including PaaS and SaaS, and Docker and/or
Kubernetes, Infrastructure as Code and Terraform
Exposure to and understanding of CICD pipelines. Ours are centrally governed
Exposure/Understanding of automated testing concepts: unit testing and Test-Driven Development
Ability to communicate effectively to both technical and non-technical audiences
Understanding of design patterns and architecture
Nice to Haves:
Strong passion for operational excellence, problem-solving, and ownership in achieving challenging objectives
Demonstrated commitment to high standards of reliability, performance, and production stability in team-owned applications and services
Experience refining features, defining solutions, and decomposing work into actionable stories for agile teams
Ability to remain focused and overcome challenges to deliver features within committed timelines
Track record of identifying opportunities for continuous improvement and leading initiatives that enhance team performance
Bachelor's Degree or equivalent experience
3-5 years of professional software development experience
3-5+ years working with modern software engineering tools such as Kubernetes and AWS Lambda
Proficiency in Domain Data Modeling and API-first design practices
P roven track record of designing and delivering significant, impactful technology solutions
Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences, adapting communication style and detail as appropriate
Strong understanding of Data Quality and Data Concepts
Experience with cloud-based development, including PaaS and SaaS, and containerization tools such as Docker and/or Kubernetes
Familiarity with centrally governed CICD pipelines
Understanding of automated testing concepts, including unit testing and Test-Driven Development
Must Have
3+ years working with AWS
Apache Spark
Data Integration Technologies
Data Virtualization
ETL Concepts
RE/Dev Ops Engineer
Nice to Have
API Design & Development
automated testing and deployment
Cloud Based Services
Data Quality Framework
ETL. SQL. Data Strategy. Data modeling. Data analysis
Codeworks, an LRS company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.
In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.
The base range for this contract position is $35.00 - $50.00 per hour, depending on experience. The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. Individual pay is determined by work location and additional job-related factors.
What to do if you suspect fraud:
If you receive a suspicious offer or communication claiming to be from us, do not share any personal or financial information. You can notify us using our contact page atContact Levi, Ray & Shoup, Inc (https://www.lrs.com/contact/) .
IMPORTANT NOTES:
All legitimate correspondence from our recruiting team will only come from an email address ending in @lrs.com. We do not use generic domains like @gmail.com, @yahoo.com, or @outlook.com.
Weneverconduct interviews solely via text-based chat on Microsoft Teams, Telegram, or WhatsApp. All virtual interviews involve a scheduled video or phone call with a member of our team.
LRS willneverask a candidate for payment, fees, or to purchase equipment (e.g., laptops, software) as a condition of employment.
All genuine job opportunities are listed directly on our official careers portal atCareers (https://jobs.lrs.com/) .
