17 Data Engineer Jobs in Alexandria, VA
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LightFeather is Hiring a Data Engineer Near Alexandria, VA
This Position is Full Time, Remote.Responsibilities:
- Assist in the development of conceptual, logical, and physical data models to facilitate comprehensive data analysis and reporting
- Contribute to optimizing data models for performance and scalability, ensuring compatibility with various platforms and technologies
- Support the establishment and adherence to data modeling standards, best practices, and methodologies within the team
- Participate in the management of data model lifecycles, including their maintenance, updates, and documentation processes
- Engage in data integration, quality control, and governance efforts, aiming to enhance overall data integrity and usability
- Provide support and guidance to junior data modeling staff, aiding in their professional development
- Collaborate in the development and maintenance of PowerBI dashboards, illustrating key model performance metrics to guide strategic decision-making
- Utilize Airflow for efficient model orchestration, contributing to streamlined data workflows and processes
- Aid in the development and implementation of effective GitHub branching strategies, fostering a collaborative and efficient working environment
- Apply Python or similar programming languages in the development of AI and machine learning models, thereby enriching our analytics offerings
- Embrace and promote an agile data science culture, emphasizing rapid iteration, teamwork, and continuous improvement
- Support exploratory data analysis initiatives to identify new insights and opportunities, enhancing data-driven decision-making within the organization
- US Citizenship
- Active IRS clearance - Public Trust or higher
- Bachelor’s degree preferred or equivalent experience
- Demonstrated practical experience in data modeling, analytics solution delivery, and dashboard development: 5 years for Journeyman, and 9 years for Senior
- Proficiency in PowerBI, Airflow, GitLab, and Python
- Proficiency in Erwin or similar technologies
- Solid understanding of GitHub branching strategies and version control best practices
- Experience working within Agile frameworks and fostering an agile data science environment
- Demonstrated skills in analytics and exploratory data analysis
- Proven ability to contribute to the development of efficient and scalable data pipelines
- Strong communication skills and the ability to effectively collaborate within a team
Commitment to DiversityLightFeather is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
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Job Summary
Full Time
$127k-156k (estimate)
05/19/2024
06/05/2024
lightfeather.io
ALEXANDRIA, VA
25 - 50
2018
SARAH FAHDEN
<$5M
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About LightFeather
LightFeather is a Woman Owned Small Business (WOSB) and Service Disabled Veteran Owned Small Business (SDVOSB). We are a forward leaning and edgy startup that is ready to change the world and improve the federal government, one organization at a time. We dont just stay on the cutting edge, we push the edge further. LightFeather was founded in 2018 to be a different type of digital services company. Our mission is to empower people to get stuff done, to continuously drive business value and make a positive impact wherever we go. We are not afraid to disrupt and innovate to get stuff done with a... focus on delivering business value continuously. We iterate and continuously improve processes, methodologies and products. Our software design and development is innovative from the start. Building sleek visualizations, we focus on delivering efficiencies and automated solutions to help our customers see their business processes in a totally new light. We transform business processes by infusing modern technologies and methodologies.
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The job skills required for Data Engineer include Python, Data Engineering, Insight, Machine Learning, Data Science, Data Modeling, 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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