50 Data Engineer Jobs in Mc Lean, VA
GeoYeti is Hiring a Data Engineer Near Mc Lean, VA
Overview
GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. We seek a mid-level Data Engineer to support a client in McLean, Virginia (Tyson's Corner). We support a broad range of IC and DoD clients, though a common theme across our portfolio is that our team members, regardless of their role, interact with the end users around the globe.
GeoYeti offers competitive pay, a sign-on or relo bonus, and amazing benefits, to include up to 10 percent company contribution into your 401k; 100 percent company paid premiums for medical (to include 100 percent of your medical deductible), dental, vision, life, and short- and long-term disabilities; tuition reimbursement; gym stipend; commuter stipend ($10/day after tax); automatic enrollment in the GeoYeti 360 Bonus Program; and many others.
Responsibilities
The Data Engineer provides provides the engineering support to the data science and software engineering team members.
Augment technical support in the area of data science, data engineering, and systems engineering, and reviewing and providing technical assessments.
Provide current system architecture documentation, engineering/web development programming support for program/project requirements defined tasks, data science/data engineering related technical assessments, effective communication with users and managers, and server administration, to include hardware and software support to existing servers.
Support ad-hoc data analysis requirements defined by the client's Leadership.
Qualifications
Required Qualifications:
- Active TS/SCI clearance with Full Scope poly required to start
- At least four years experience
- Experience designing and optimizing data pipelines
- Experience with some combination of Spark, Hudi, EMR cloud services, and Kubernetes containers
- Experience cleaning and preprocessing data to enable analytics
- Experience architecting repeatable ETL processes
- Experience with the database administration in Oracle, MySQL, MariaDB, MongoDB, and/or Elastic
- Experience developing API connectors
What you can expect from us
GeoYeti is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
GeoYeti does not have a vaccination mandate applicable to team members. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements. Regardless of vaccination status , personnel are required to wear masks while indoors when the CDC COVID-19 Community Level is High.Job Summary
Full Time
$112k-138k (estimate)
11/10/2023
05/08/2024
geoyeti.com
The job skills required for Data Engineer include Data Engineering, Data Science, API, Programming, Software Engineering, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
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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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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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