Overview
On Site
USD 60.00 - 69.00 per hour
Contract - W2
Skills
Open Source
Decision-making
Data Processing
R
Attention To Detail
Advanced Analytics
Machine Learning (ML)
Management
Extraction
Collaboration
Data Integration
Data Visualization
Modeling
Migration
Computer Science
Information Systems
Analytical Skill
Conflict Resolution
Problem Solving
Data Migration
Information Management
Data Management
Performance Management
Storage
SQL
Cloud Computing
Databricks
SQL Azure
Microsoft Azure
Data Engineering
Python
Apache Spark
Extract
Transform
Load
Analytics
Application Development
Data Structure
Algorithms
Design Patterns
Data Extraction
Life Insurance
Screening
Writing
Career Counseling
Recruiting
Law
Testing
Job Details
Data Engineer - Contract - Vienna, VA - $60.00 - $69.00/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 in Vienna, VA
Role Description
In Digital Labs, we develop innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. Digital Information Management (DIM) is a team of engineers committed to championing a data-driven decision-making culture and meet the business demand for timely insight-focused analytics and information delivery.
You will be working with all levels of technology from backend data processing technologies (Spark R), Cloud computing technologies and Azure Data Platform. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.
Build end-to-end direct capabilities.
Create and maintain optimal data pipeline architecture.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
Derive insights to differentiate member and team member experiences.
Collaborate with cross-functional teams.
Analyze and define with product teams the data migration and data integration strategies.
Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.
Integrate source systems with information management solutions and target systems for automated migration processes.
Create proof-of-concepts to demonstrate viability of solutions under consideration.
Skills & Requirements
Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
3+ years professional work experience in IT related to Data Management and Data Migration activities
2+ years of strong experience with cloud services (Azure preferred)
Experience with any of the following Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advance Analytics
Experience with following from Microsoft Azure: ADLS Gen2, Blob Storage, SQL, Data Catalog, Data Factory, KeyVault, Azure AD, Azure SQL, Databricks.
Experience with Python
Cloud: azure (databricks, azure SQL, azure data factory, azure keyvault, etc.)
Programming & data engineering: python, spark (SparkR preferred), ETL
Data mgmt & analytics
Apps development: Solid foundation in data structures, algorithms, and design patterns
and Hands-on experience building infrastructure for data extraction, transformation, and loading
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.
#LI-DNI
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 in Vienna, VA
Role Description
In Digital Labs, we develop innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. Digital Information Management (DIM) is a team of engineers committed to championing a data-driven decision-making culture and meet the business demand for timely insight-focused analytics and information delivery.
You will be working with all levels of technology from backend data processing technologies (Spark R), Cloud computing technologies and Azure Data Platform. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.
Build end-to-end direct capabilities.
Create and maintain optimal data pipeline architecture.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
Derive insights to differentiate member and team member experiences.
Collaborate with cross-functional teams.
Analyze and define with product teams the data migration and data integration strategies.
Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.
Integrate source systems with information management solutions and target systems for automated migration processes.
Create proof-of-concepts to demonstrate viability of solutions under consideration.
Skills & Requirements
Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
3+ years professional work experience in IT related to Data Management and Data Migration activities
2+ years of strong experience with cloud services (Azure preferred)
Experience with any of the following Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advance Analytics
Experience with following from Microsoft Azure: ADLS Gen2, Blob Storage, SQL, Data Catalog, Data Factory, KeyVault, Azure AD, Azure SQL, Databricks.
Experience with Python
Cloud: azure (databricks, azure SQL, azure data factory, azure keyvault, etc.)
Programming & data engineering: python, spark (SparkR preferred), ETL
Data mgmt & analytics
Apps development: Solid foundation in data structures, algorithms, and design patterns
and Hands-on experience building infrastructure for data extraction, transformation, and loading
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.
#LI-DNI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.