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Sr. Data Engineer

  • VA, United States

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Experience
5-7 years of experience in data engineering
Posting language
English
Posted

Original job description

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 Sr. Data Engineer in Vienna, VA/Hybrid.

ROLE DESCRIPTION

Design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. Manage, interpret, and derive insights from data. Implement data processing tasks, ensuring data quality and system reliability. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and techniques.

  • Design, develop and maintain data pipelines and workflows
  • Collaborate with stakeholders to ensure data solutions align with business needs and goals
  • Design and build robust data pipelines for data collection, connection, and storage
  • Develop and maintain APIs and integrations to support secure, reliable data exchange across internal and external systems
  • Support and enhance mortgage data platforms and data pipelines across the lending technology ecosystem
  • Develop and enforce data engineering policies and best practices to ensure data integrity
  • Ensure data quality and performance at scale
  • Ensure high performance and scalability of data systems
  • Help with the collection, connection, and storage of data
  • Lead efforts to optimize existing data workflows and ensure system reliability
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives, taking a leadership role in planning and execution
  • Mentor and guide junior data engineering team members

SKILLS & REQUIREMENTS

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
  • 5-7 years of experience in data engineering
  • Complete knowledge and understanding of business area/specialization
  • Advanced knowledge of programming languages (Python, Java, SQL)
  • Experience with data management and processing tools
  • Experience with data integration and processing tools
  • Experience with cloud services (Databricks, Azure, etc.)
  • Advanced problem-solving skills
  • Advanced communication, collaboration skills and the ability to manage multiple priorities effectively
  • Advanced skill in data system design and solid understanding of data warehousing, ETL processes, and big data technologies
  • Advanced knowledge of data engineering principles, technologies, and architecture
  • 10+ years exp
  • Strong hands-on Python, SQL, and/or Java
  • Strong experience building data pipelines and ETL/ELT workflows
  • Azure cloud data engineering experience
  • Databricks experience
  • Strong data integration experience across multiple systems
  • Experience developing/integrating APIs
  • Strong understanding of data warehousing, data architecture, and system design
  • Experience optimizing pipelines for performance, scale, reliability, and data quality
  • Able to work independently at a senior-level and own technical initiatives
  • Mortgage/lending data or financial services experience
  • Big-data/distributed processing experience
  • Experience mentoring junior engineers or leading smaller projects
  • Strong stakeholder communication and ability to translate business requirements into data solutions

Benefits/Other Compensation

Medical, Dental, Life Insurance, 401K.

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 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

#1187147 - Kellee Jacobsen

More about this job

Skills

  • Process data
  • Negotiate with stakeholders
  • Data engineering
  • Computer science
  • Programming languages
  • Python
  • Oracle Java
  • SQL
  • Data management
  • Databricks
  • Microsoft Azure
  • Problem solving
  • Communication skills
  • Collaboration
  • Data warehousing
  • Work independently
  • Coaching

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