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Data Engineer

RP Professional Services is a rapidly growing Technology consulting firm headquartered in Virginia. We’re an 8a and Service-Disabled Veteran-Owned Small Business (SDVOSB) serving both federal and commercial customers. At RP, we help our clients achieve their mission by developing value driven, customized solutions that are executed by the best people. Our dedication to our employees and clients is driven by our promise to deliver Excellence, Value, and Flexibility. "People, not just Resources" is more than our motto; it's the foundation on which we are built!

RP is seeking a Data Engineer to support the Department of Veterans Affairs (VA). This role is ideal for a technical professional with expertise in designing, building, and maintaining data pipelines that enable secure, scalable, and efficient data integration. The Data Engineer will play a critical role in ensuring data is accessible, organized, and optimized for analysis.

This position is contingent upon the contract being awarded to RP Professional Services

 Responsibilities:

  • Design, develop, and maintain data pipelines to ingest, transform, and load data from various sources.
  • Develop ETL processes to support data integration across platforms and systems.
  • Optimize data pipelines for performance, scalability, and data quality.
  • Collaborate with data scientists, analysts, and stakeholders to understand data needs and ensure efficient data delivery.
  • Implement data validation processes to ensure accuracy, consistency, and completeness.
  • Develop and maintain data models and schemas to support data warehousing solutions.
  • Ensure data security and compliance with VA policies and federal data regulations.
  • Create documentation for data engineering processes, workflows, and best practices.
  • Proficiency in data management tools such as ExcelAccess, or Google Sheets.
  • Experience working with database platforms like SQL or Microsoft SQL Server for querying and data maintenance.
  • Strong organizational skills and attention to detail.
  • Ability to manage multiple data sets and identify inconsistencies.
  • Familiarity with data entry standards, data security practices, and quality control
  • High school diploma or equivalent; additional technical certifications are a plus.
  • Minimum of 2 years of experience in data entry, data management, or administrative support roles.
  • Strong data entry skills with a proven ability to maintain accuracy and completeness.
  • Must be eligible for a Public Trust Clearance

Preferred Qualifications:

  • Experience supporting government or healthcare IT environments.
  • Experience supporting the Department of Veterans Affairs.
  • Certifications such as Red Hat Certified Engineer (RHCE)AWS Certified DevOps Engineer, or equivalent.
  • Experience with performance testing tools such as JMeterLoadRunner, or similar.

·       Health Benefits: Medical, Vision, Dental

·       Up to 4% retirement match with 100% vesting

·       Company paid STD and LTD

·       Company paid basic life insurance

·       Competitive PTO package

RP Professional Services, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Data Engineer, RP Pro Services

Are you ready to elevate your career as a Data Engineer at RP Professional Services? As a rapidly growing Technology consulting firm based in Virginia, we are dedicated to crafting innovative, value-driven solutions for our federal and commercial customers. In this pivotal role, you will support the Department of Veterans Affairs (VA) by designing, building, and maintaining essential data pipelines that ensure secure and efficient data integration. Your expertise will help ensure that data is organized, optimized, and ready for impactful analysis. You’ll have the opportunity to collaborate with talented data scientists and analysts to meet their data needs effectively. We expect a hands-on approach in developing ETL processes to integrate various platforms while prioritizing performance and data quality. If you thrive in a dynamic environment that values excellence and flexibility, you may find a perfect fit here at RP. Your responsibilities will also include implementing data validation for accuracy and compliance with VA regulations, making documentation for our data workflows, and maintaining data models for our warehousing solutions. With a strong focus on team dynamics, we believe in the mantra, 'People, not just Resources.' Join us in making a difference in how we manage and utilize data for greater good, all the while enjoying benefits like competitive PTO, health benefits, and a retirement match. Ready to make your mark?

Frequently Asked Questions (FAQs) for Data Engineer Role at RP Pro Services
What qualifications do I need to become a Data Engineer at RP Professional Services?

To be a successful Data Engineer at RP Professional Services, candidates should possess a minimum of a high school diploma or equivalent, with additional technical certifications being a plus. We also require at least 2 years of experience in data entry, data management, or related administrative support roles. Familiarity with data management tools such as Excel and SQL databases is crucial, alongside strong organizational skills and an attention to detail.

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What are the main responsibilities of a Data Engineer at RP Professional Services?

As a Data Engineer at RP Professional Services, your primary responsibilities will involve designing, developing, and maintaining data pipelines that facilitate the ingestion, transformation, and load of data. You'll also work on optimizing data for performance and scalability, collaborating with analysts to understand data needs, and ensuring data validation processes align with VA policies.

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Can I work as a Data Engineer at RP Professional Services without government experience?

While prior experience in government or healthcare IT environments is preferred, it is not strictly necessary to apply for the Data Engineer position at RP Professional Services. We value diverse backgrounds and skills, so demonstrating your technical expertise and willingness to learn can definitely make you a competitive candidate.

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What tools and technologies should a Data Engineer be familiar with at RP Professional Services?

A Data Engineer at RP Professional Services should be well-versed in data management tools like Excel and Google Sheets, alongside experience with SQL database platforms such as Microsoft SQL Server. Familiarity with performance testing tools like JMeter or LoadRunner can be advantageous as well, enhancing your ability to optimize data pipelines.

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What is RP Professional Services' approach to employee support and development for Data Engineers?

At RP Professional Services, we prioritize employee development and support through comprehensive health benefits, competitive PTO, and retirement matching. We’re dedicated to fostering an environment where Data Engineers can thrive, gain new skills, and augment their careers in data management.

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Common Interview Questions for Data Engineer
Can you describe your experience with ETL processes as a Data Engineer?

When answering this question, elaborate on specific ETL tools you have used, your role in the development process, and any projects where you successfully integrated data from different sources. Providing metrics or outcomes from your work can further emphasize your impact.

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How do you ensure data quality and accuracy in your data engineering tasks?

Discuss techniques such as implementing validation checks, utilizing data profiling tools, and regular monitoring of data integrity. Illustrate your answer by referencing a past experience where you resolved data discrepancies or improved the data quality process.

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What strategies would you employ to optimize data pipelines?

Be prepared to discuss specific strategies such as parallel processing, data partitioning, and caching. Sharing examples of how you have applied these strategies to improve pipeline efficiency in previous roles can strengthen your answer.

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Describe a challenging data project you’ve handled and how you overcame the challenges.

Frame your response by detailing the project scope, the hurdles faced, such as data inconsistencies or performance issues, and the steps you took to resolve these challenges. Providing insight into your problem-solving process will demonstrate your adaptive skills.

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How do you stay current with emerging data technologies?

Mention any relevant resources, such as online courses, webinars, or professional groups you follow. Emphasizing your commitment to continuous learning and adaptation to new data tools relevant to the Data Engineer role will showcase your proactive approach.

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What is your experience working with SQL and database management?

Highlight your proficiency in writing complex queries, experience with database design, and any specific projects where you managed database performance. Providing examples of your contributions will showcase your technical expertise.

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How would you approach collaboration with data scientists and analysts?

Discuss the importance of communication and requirement gathering in understanding the needs of data scientists and analysts. Emphasizing a team-oriented approach and providing examples of successful collaborations can amplify your response.

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What documentation practices do you follow in data engineering?

Talk about the importance of thorough documentation for data processes, workflows, and best practices. Provide examples of how you maintain documentation in your projects and the benefits it brings to your team.

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How do you handle multiple data sets and prioritize tasks?

Elaborate on your organizational skills and strategies for task prioritization, such as creating timelines or using project management tools. Give an example from your experience where effective prioritization led to a successful project outcome.

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What do you think is the most important trend in data engineering today?

Share your thoughts on current trends, such as the increased use of cloud platforms or the integration of machine learning with data pipelines. Indicating awareness of industry trends reflects your passion for the Data Engineer field.

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Founded in October 2011, RP Pro Services is a rapidly growing consulting services company headquartered in Virginia. We are a Veteran Owned Small business and a certified Minority Owned Small Business. We serve commercial and federal clients in th...

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DATE POSTED
March 27, 2025

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