Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical……
Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical……
Cross-Functional Collaboration: Effectively communicate with non-technical stakeholders to understand business requirements and collaborate with technical……
This is a hands-on role where you will design, build, and scale core metrics and analytical workflows, working closely with product, business, and engineering……
This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data……
Experience: 7+ years of professional software engineering experience, with a heavy focus on web scraping, data engineering, or distributed systems.…
Bachelor's Degree in a related field or equivalent practical experience preferred. Contribute to data platform modernization initiatives, including assisting……
This role is responsible for driving the execution of key data projects, including data management, data conversions, ongoing ingestion pipelines, and data……
Bachelor's degree in Computer Science, Computer Engineering or related field, may be substituted with work experience. Experience utilizing CI/CD Pipelines.…
High School Diploma or GED with 3-5 years of applicable experience in computer science related field required. Takes ownership to ensure own work is error-free.…
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing,……
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience. This role requires a strong understanding of data……
Interact with the business ([function]) to understand all data requirements to develop business insights and translates them into data structures and data……
Ability to work cross-functionally and communicate technical concepts to non-technical audiences. 4–7+ years of experience in data engineering, data analysis,……
Bachelor’s degree in Computer Science, Engineering, or a related field. With BREV/AN, users can effortlessly create, customize, and train AI agents to automate……
The Data Engineer, as a key member of the Enterprise Data and Analytics team, provides technical leadership for the definition, design, and delivery of First……
Ability to communicate well with both technical and non technical users. The company provides reasonable accommodations to qualified individuals with……
The candidate should demonstrate an engineering mindset and an interest in developing enterprise-scale solutions using modern cloud platforms, databases, data……
Design, develop, and maintain scalable data pipelines for API data ingestion. Strong SQL skills, including database design, query optimization, and performance……
Master's Degree in Computer Science, Data Engineering, Informatics, or a related field with at least 7 year(s) of experience in healthcare data engineering or……
The Data Engineer is responsible for designing and developing data infrastructure to ensure availability of data throughout the organization, as well as……
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Hollstadt Consulting and its affiliates, and contracted……
Use AI to find out how well the skills on your resume fit this job description.
Primary Talent Partners has a new contract opening for a BigData Engineer II with our global technology client in Arlington, VA. This is a 2-month contract with a potential for extension.
Pay:$71.00 - $81.00/hr; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment. Candidates must be legally authorized to work in the United States and must be able to sit on Primary Talent Partners W2 without sponsorship.
Schedule: 9 AM to 5 PM ET | Hybrid role
Description:
This person will be supporting the Analytics Solutions team - whose responsibility is to assist stakeholders in extracting data from the Client Data Warehouse, transforming it and then building dashboards on top that can be exported back to the client.
Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
Leverage big data processing frameworks such as Apache Spark and Hadoop to build and optimize data pipelines.
Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
Build strong working relationships with team members and clients, contributing to both local and global projects.
Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
Design, implement, and maintain data pipelines using ETL frameworks, orchestration tools, and distributed data processing engines.
Participate in efforts to automate routine data tasks and streamline processes.
Comply with all Client internal policies and adhere to external regulations.
Top 3 required skills:
Spark, Hadoop, Python
All About You:
Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
Hands-on experience with big data technologies such as:
Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines.
Understanding data modeling concepts and database design to support scalable data solutions.
Familiarity with Python.
Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
Bachelor's degree in quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at info@primarytalentpartners.com
The minimum salary is $71.00 and the max salary is $81.00.
$71.00 – $81.00/hr (Employer provided)
$76.00
/hr Median
Arlington, VA
If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page.
Working here doesn’t have to be a secret
Sign in to browse authentic reviews, anonymous ratings and salary data before you apply.