Data Engineer

Data Engineer -- Contract or CTP - Remote - $60.00 -$65.00/hr.

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Data Engineer for a remote opportunity.

Role Description

Our client is seeking a highly skilled Data Engineer to design, build, and maintain scalable data platforms that enable large-scale ingestion, storage, processing, and analysis of structured and unstructured data. This role will focus on constructing data products (data lake / data warehouse), optimizing data pipelines, and implementing robust ETL workflows to support analytics, machine learning, and operational reporting.
The ideal candidate will be proficient in distributed computing, cloud-based data architectures (Google Cloud Platform), and modern data processing frameworks. Experience with real-time data streaming (Kafka, Apache Beam), MLOps, and infrastructure automation (Terraform, Jenkins) is highly preferred.

Data Platform & Architecture Development
Design, implement, and maintain scalable data platforms for efficient data storage, processing, and retrieval.
Build cloud-native and distributed data systems that enable self-service analytics, real-time data processing, and AI-driven decision-making.
Develop data models, schemas, and transformation pipelines that support evolving business needs while ensuring operational stability.
Apply best practices in data modeling, indexing, and partitioning to optimize query performance, cost efficiency, considering best practices for Sustainability.
ETL, Data Pipelines & Streaming Processing
Build and maintain highly efficient ETL pipelines using SQL, Python, to process large-scale datasets.
Implement real-time data streaming pipelines using Kafka, Apache Beam, or equivalent technologies.
Develop reusable internal data processing tools to streamline operations and empower teams across the organization.
Write advanced SQL queries for extracting, transforming, and loading (ETL) data with a focus on execution efficiency.
Ensure data validation, quality monitoring, and governance using automated processes and dashboards.
MLOps & Cloud-Based Data Infrastructure
Deploy machine learning pipelines with MLOps best practices to support AI and predictive analytics applications.
Optimize data pipelines for ML models, ensuring seamless integration between data engineering and machine learning workflows.
Work with cloud platforms (Google Cloud Platform) to manage data storage, processing, and security.
Utilize Terraform, Jenkins, CI/CD tools to automate data pipeline deployments and infrastructure management.
Collaboration & Agile Development
Work in Agile/DevOps teams, collaborating closely with data scientists, software engineers, and business stakeholders.
Advocate for data-driven decision-making, educating teams on best practices in data architecture and engineering.

Skills & Requirements

5+ years of experience as a Data Engineer working with large-scale data processing.
Strong proficiency in SQL for data transformation, optimization, and analytics.
Expertise in programming languages (Python, Java, Scala, or Go) with an understanding of functional and object-oriented programming paradigms.
Experience with distributed computing frameworks.
Proficiency in cloud-based data engineering on AWS, Google Cloud Platform, or Azure.
Strong knowledge of data modeling, data governance, and schema design.
Experience with CI/CD tools (Jenkins, Terraform) for infrastructure automation.
Experience with real-time data streaming (Kafka, or equivalent).
Strong understanding of MLOps and integrating data engineering with ML pipelines.
Familiarity with knowledge graphs and GraphQL APIs for data relationships.
Background in retail, customer classification, and personalization systems.
Knowledge of business intelligence tools and visualization platforms.
Retail industry experience, specifically Production of Consumer Goods

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .

Drug testing may be required; please contact a recruiter for more information.

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