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Data Engineer
$102k-125k (estimate)
Other | Business Services 1 Month Ago
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Precision Solutions is Hiring a Data Engineer Near Virginia, VA

Overview

Data Engineer

Onsite | Pentagon | 5 Days a Week

Active TS/SCI Clearance Required

Summary

Our client is an employee and Service-Disabled, Veteran-owned Small Business focused on providing niche technical services. They are a team of experienced cybersecurity professionals with a track record of success in the Federal, Commercial, and Academic workspaces. Additionally, our client designs, builds, operates, and secures scalable cloud and IT infrastructures to meet their customers’ near-term needs and fulfill their long-term requirements.

ResponsibilitiesOur client is looking for a Data Engineer to join their team! As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our client's data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes
  • Maintain documentation for software applications, workflows, and processes
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement

Requirements

  • Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch
  • High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
  • Strong problem-solving skills and ability to solve complex data-related issues
  • Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently
  • Understanding of data modeling/visualization, database design principles, and data governance practices
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Detail-oriented mindset with a commitment to delivering high-quality results

Preferred Requirements

  • Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus
  • Recent DoD or IC-related experience
  • Previous experience with Advana is a plus

Education/Certification Requirements

  • None

Clearance Requirements

  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active TS/SCI clearance is required. Please be aware that onboarding can take 4-6 weeks for this position.
Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. -------------- About UsNorthern Virginia-based Precision Solutions is an expert in staffing solutions for companies of any size that open the door to new opportunities and seek outstanding talent. We pride ourselves on being versatile enough to tailor our relationships to the needs of each individual client, being agile in the fast-paced marketplace, and being precise in meeting the needs of any company. Equal Opportunity Employer StatementPrecision Solutions is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Job Summary

JOB TYPE

Other

INDUSTRY

Business Services

SALARY

$102k-125k (estimate)

POST DATE

04/19/2023

EXPIRATION DATE

04/23/2024

WEBSITE

precisionsg.com

HEADQUARTERS

DEDHAM, MA

SIZE

25 - 50

FOUNDED

2003

TYPE

Private

CEO

LAWRENCE DUBE

REVENUE

$5M - $10M

INDUSTRY

Business Services

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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