Sr. Data Engineer - Remote

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Posted 13 days ago United States Salary undisclosed
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Job Description

**Kelly Services is seeking a Remote Sr. Data Engineer for one of our top clients Hershey, PA.**


Length: **01/03/2022 to 07/01/2022**


Type: Contract W2-There is no "per diem" with this position. There is no relocation budgeted for this position. If this position requires you to relocate you will be responsible for those costs. **NO C2C, at this time we are not in** **the position to offer any type of sponsorships or VISA transfers for this position.**


Pay Rate: $negotiable/hr. (W2)


Location: Hershey, PA


**Job Description:**


The Sr. Data Engineer will act as a trusted advisor for our Client's business partners by ensuring that data solutions meet expectations and requirements. You will work with a diverse team of business analysts, data scientists, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner's strategy. In addition, you will work directly with the Sr. Manager of Data Engineering to ensure consistency and compliance of deliverables to frameworks and governance processes.


**Specific Job Responsibilities:**


+ Executes the strategy to deliver cloud-based intelligent systems to collect, distribute, model, and analyze disparate and diverse data assets to automate insights and drive business performance


+ Using best practice frameworks and governance, evaluate, design, and analyze solution engineering for agile delivery


+ Create and develop robust and secure ETL pipelines across a broad range of data-focused products, services, projects, and systems


+ Using best practice guidance from Enterprise Data leadership, oversee the health and evolution of agile execution team engineering technologies


+ Works closely with leaders within data engineering, data architecture, data science and domain experts, to build and maintain roadmaps against the IT strategy


+ Partner to deliver a modern data engineering model that follows Dev/Ops principles and standards for continuous integration/ continuous delivery (CI/CD) processes


+ Ensure reliability in data and data pipelines, enforcing governance, security, and performance


+ Collaborate in developing best in class key performance indicators to measure the performance and quality of the data engineering teams and processes


+ Able to articulate the holistic benefits of data engineering from a business perspective, while maintaining the relationship with business analysts, data scientists, technical engineers, and project managers


**Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities** :


+ Experience designing, implementing large scale data pipelines for data curation, feature engineering and machine learning across multiple environments


+ Working knowledge of agile frameworks


+ Ability to manage multiple priorities, meet deadlines and produce quality results under pressure


+ Demonstrated leadership and managerial skills


+ Strong problem solving and analytical skills


+ Strong team player, change agent, and advocate


+ Excellent customer service skills


+ High energy self-starter


+ Excellent verbal and written communication skills


**Education:**


+ Bachelor's in a STEM degree


+ Master's degree and/or related equivalent experience preferred


**Experience:**


+ 3-5+ years of progressive experience working with data, much of which has been focused on working with cross-functional teams and enterprise-wide data management programs


+ 3+ years of experience in building data solutions within an enterprise environment using industry standard guiding principles and practices


+ 3+ years of leveraging data integration tools to build data pipelines e.g., Informatica, Talend, Matillion


+ 3+ years of experience with SQL, Python, Scala and Spark languages to explore, interact and build solutions


+ 3+ years of experience with public and private cloud solutions


+ Advanced working knowledge and experience with relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions or Hadoop


+ Experience working with machine learning and data science teams


+ Experience building data visualizations or analytics e.g., Power BI, Tableau, SSRS, SAP


+ Experience working in a high performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align to business partner strategy


+ Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners


+ Experience leading a project team or project function to deliver an enterprise data, application and/or ERP solution


+ Experience with COBIT/SOX, as well as PII data in accordance with relevant laws


**Why Kelly** **®** **?**


By partnering with Kelly® Technology, you'll have direct connections to top companies around the globe-giving you the chance to put your tech skills to work on some of today's most intriguing, innovative, and high-visibility projects. In a world where change is the only constant, our unparalleled connections and IT market expertise help you take your skills exactly where you want to go. We're here to help you gain experience, keep learning, and move your career forward.


**About Kelly** **®**


At Kelly, we're always thinking about what's next and advising job seekers on new ways of working to reach their full potential. In fact, we're a leading advocate for temporary/nontraditional workstyles, because we believe they allow flexibility and tremendous growth opportunities that enable a better way to work and live (plus, did we mention we provide a ton of benefits ?). Connecting great people with great companies is what we do best, and our employment opportunities span a wide variety of workstyles, skill levels, and industries around the world.


Kelly is an equal opportunity employer committed to employing a diverse workforce and providing accommodations for people with disabilities in all parts of the hiring process as required under its Employment Accommodation Policy. Kelly will work with applicants to meet accommodation needs that are made known to Kelly in advance.