Senior Data Engineer

2 weeks ago

Newark, United States Remotely Full time

This is a remote position.

Senior Data Engineer (3-5 year experience, remote)

Be part of our future This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.

Hiring Type: Full-Time

Base Salary: $111K-$121K Per Annum.

Responsibilities

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment. Build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools. Design robust, reusable and scalable data driven solutions, and data pipeline frameworks to automate the ingestion, processing and delivery of structured and unstructured batch and real-time streaming data. Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications. Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.

Qualifications

Bachelor’s degree in computer science, math, engineering, or relevant technical field Two years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies One year of experience developing and supporting modern data architectures One year of experience developing and supporting large-scale distributed applications One year of experience with Linux operations and development, including basic commands and shell scripting One year of experience with execution of DevOps methodologies and continuous integration/continuous delivery One or more years of experience and proficiency in AWS Cloud Service, Python and Sql for data profiling, analysis and extraction. Results oriented with a strong customer focus Ability to work within a team environment Ability to prioritize and meet tight deadlines Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables

Preferred Qualifications

Master’s degree in a technical field (e.g. computer science, math, engineering) Understanding of big data and real time streaming analytics processing architecture and ecosystems Understanding of data warehousing architecture and implementation, including source to target mappings and ETL Experience with advanced analytics and machine learning concepts and technology implementations Experience with data analysis and using data visualization tools to describe data Relevant technology or platform certification (AWS, Microsoft, etc.) Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js)

Benefits Package

401k Match Tuition Reimbursement Disability Insurance Medical Insurance Dental Insurance Vision Insurance Employee Discounts Career Training & Development Opportunities Parental Leave PTO for Volunteer Hours Employee Resource Groups Inclusion and Diversity Programs Employee Recognition Program

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