Mastech Digital is an IT Staffing and Digital Transformation Services company.Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Lead Data Engineer for our client in the Software domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.Duration: 12+ Months ContractLocation: Newark, NJ and Morrisville, NC (Remote)Salary: $110,000 Annually/$55.00 Hourly (negotiable for strong candidate)Role: Lead Data EngineerPrimary Skills: Amazon Web Services (AWS)Role Description: As a Lead Data Engineer, you must have at least 10 years of experience.Required Experience and Skills:<ol><li>10+ years of experience in building out Data pipelines in Java/Scala</li><li>5+ years of experience working in AWS Cloud especially services like S3, EMR, Lambda, AWS Glue and StepFunctions.</li><li>5+ years of experience with Spark</li><li>Any experience with Microsoft Fabric is a plus</li><li>Exposed to working in an Agile environment with Scrum Master/Product owner and ability to deliver</li><li>Strong experience with data lake/data marts/data warehouse</li><li>Ability to communicate the status and challenges and align with the team</li><li>Demonstrating the ability to learn new skills and work as a team</li></ol>Experience: Minimum 10 years of experienceRelocation: This position will not cover relocation expensesTravel: NoLocal Preferred: YesNote: Must be able to work on a W2 basis (No C2C)
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General Information Req # WD00069462 Career area: Software Engineering Country/Region: United States of America State: North Carolina City: Morrisville Date: Wednesday, July 31, 2024 Working time: Full-time Additional Locations: * United States of America - North Carolina - Morrisville Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . Description and Requirements At Lenovo, we Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way. Do you have a passion for data and building pipelines that power cutting edge AI? Are you a results-oriented engineer who thrives in a collaborative environment? If so, we want to hear from you! We're looking for a Senior Data Engineer to work with the AI platform team within our Cloud and Software (CSW) Group at Lenovo. About the role In this role you will work directly with locally & globally distributed teams responsible for defining, designing and building robust data pipelines and data serving platforms in a cloud-based SaaS environment. You'll be part of a highly dynamic software development team working on initiatives with a goal to transform and enhance the overall business value of our products and platforms. You will be responsible for using distributed data processing frameworks to ingest, extract, transform, store, serve and build data sets that could be used by AI applications, Data Scientists and ML engineers. You will apply your knowledge of algorithms, pipelines, cloud expertise, AI & ML, data processing, supporting tools and technologies to develop new data solutions. As a Senior Data Engineer on the team, you will play a key role in improving existing data models, pipelines and maintaining them for a worldwide customer base. This is a great opportunity if you are: <ul><li> passionate about data </li><li> have a strong sense of responsibility and ownership </li><li> resourceful in face of ambiguity and thrive on change </li><li> an independent thinker who can solve complex problems </li><li> an excellent collaborator and with solid communication skills, demonstrated by successful cross team collaboration </li></ul> Responsibilities: <ul><li> In this role, you will work on the user, device and services data ingestion and storage platform that is an integral part of the AI ecosystem </li><li> The data you shape will be used to power AI capabilities of the core platform that enables various cloud solutions of the company. </li><li> As a Senior Data Engineer, you will be responsible for developing new data pipelines for data ingestion and transformation, building/updating capabilities of the existing data pipelines including real-time streaming and batch processing. </li><li> You will take end to end ownership of implementing solutions to the identified issues with the focus on quality, stability, security and customer satisfaction. </li><li> You'll collaborate with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Machine Learning Engineers, Business Analysts, Project and Product Management </li><li> Designing, building, implementing, and documenting data models </li><li> Working with business partners to understand business and product objectives, identify the data needed to support them, while influencing the decisions </li><li> Optimizing data transformation pipelines to improve latency or reduce computational time, cost. </li><li> Proactively contribute to the development of the data engineering team by mentoring junior engineers </li></ul> Minimum Qualifications: <ul> <li> Bachelor's degree in computer science, Information Systems, Engineering, Math or related technical field. </li> <li> 8+ years of relevant software development experience </li> <li> 5+ years of experience: </li> <ul> <li> Developing and maintaining data processing pipelines using Spark, Hadoop, Hive. </li> <li> Working with programming languages such as Java and Python </li> <li> Data Engineering, and/or building scalable streaming and/or batch data pipelines </li> <li> Data Engineering tooling: collection, cleaning, transformation, ingestion, storage, publishing </li> </ul> <li> Experience mentoring junior engineers and help grow their technical skills </li> </ul> Preferred Qualifications: <ul> <li> Advanced SQL skills (such as window functions, defining UDFs) </li> <li> Experience working with relational as well as NoSQL databases and streaming platforms such as Kafka </li> <li> Familiarity with version control systems, CI/CD practices, testing </li> <li> Experience with data discovery, lineage, data governance, data orchestration, data quality metrics measurement is plus </li> <li> Experience working with machine learning engineers, data scientists, and ML applications is plus </li> <li> Experience working with data pipelines for LLM applications is plus </li> <li> Experience with tools like Docker and platforms such as Kubernetes (K8S). </li> </ul> <ul><li>#LI-DB1</li></ul> We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: * United States of America - North Carolina - Morrisville * United States of America * United States of America - North Carolina * United States of America - North Carolina - Morrisville

* United States of America - North Carolina - Morrisville
Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere.
Description and Requirements At Lenovo, we Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way.
Do you have a passion for data and building pipelines that power cutting edge AI? Are you a results-oriented engineer who thrives in a collaborative environment? If so, we want to hear from you! We’re looking for a Senior Data Engineer to work with the AI platform team within our Cloud and Software (CSW) Group at Lenovo.
About the role
In this role you will work directly with locally & globally distributed teams responsible for defining, designing and building robust data pipelines and data serving platforms in a cloud-based SaaS environment. You’ll be part of a highly dynamic software development team working on initiatives with a goal to transform and enhance the overall business value of our products and platforms. You will be responsible for using distributed data processing frameworks to ingest, extract, transform, store, serve and build data sets that could be used by AI applications, Data Scientists and ML engineers. You will apply your knowledge of algorithms, pipelines, cloud expertise, AI & ML, data processing, supporting tools and technologies to develop new data solutions. As a Senior Data Engineer on the team, you will play a key role in improving existing data models, pipelines and maintaining them for a worldwide customer base.
This is a great opportunity if you are:
passionate about data
have a strong sense of responsibility and ownership
resourceful in face of ambiguity and thrive on change
an independent thinker who can solve complex problems
an excellent collaborator and with solid communication skills, demonstrated by successful cross team collaboration
Responsibilities:
In this role, you will work on the user, device and services data ingestion and storage platform that is an integral part of the AI ecosystem.
The data you shape will be used to power AI capabilities of the core platform that enables various cloud solutions of the company.
As a Senior Data Engineer, you will be responsible for developing new data pipelines for data ingestion and transformation, building/updating capabilities of the existing data pipelines including real-time streaming and batch processing.
You will take end to end ownership of implementing solutions to the identified issues with the focus on quality, stability, security and customer satisfaction.
You'll collaborate with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Machine Learning Engineers, Business Analysts, Project and Product Management.
Designing, building, implementing, and documenting data models.
Working with business partners to understand business and product objectives, identify the data needed to support them, while influencing the decisions.
Optimizing data transformation pipelines to improve latency or reduce computational time, cost.
Proactively contribute to the development of the data engineering team by mentoring junior engineers.
Minimum Qualifications:
Bachelor's degree in computer science, Information Systems, Engineering, Math or related technical field.
8+ years of relevant software development experience.
5+ years of experience:
Developing and maintaining data processing pipelines using Spark, Hadoop, Hive.
Working with programming languages such as Java and Python.
Data Engineering, and/or building scalable streaming and/or batch data pipelines.
Data Engineering tooling: collection, cleaning, transformation, ingestion, storage, publishing.
Experience mentoring junior engineers and help grow their technical skills.
Preferred Qualifications:
Advanced SQL skills (such as window functions, defining UDFs).
Experience working with relational as well as NoSQL databases and streaming platforms such as Kafka.
Familiarity with version control systems, CI/CD practices, testing.
Experience with data discovery, lineage, data governance, data orchestration, data quality metrics measurement is a plus.
Experience working with machine learning engineers, data scientists, and ML applications is a plus.
Experience working with data pipelines for LLM applications is a plus.
Experience with tools like Docker and platforms such as Kubernetes (K8S).

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Data Engineer Jobs in Morrisville, NC

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