6 Data Engineer Jobs in Fort Belvoir, VA
D&G Support Services, LLC is Hiring a Data Engineer Near Fort Belvoir, VA
- Analyze and interpret complex data sets using statistical analysis and machine learning algorithms, develop and implement data cleaning and transformation processes to prepare data for analysis, and proactively support clients in ad hoc data analysis requests by interfacing directly with them to understand and meet their needs, demonstrate agility in delivering results with a quick turnaround, aligning with both non-functional and functional business requirements.
- Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into DLA R&D ARTET central data warehouse, and moving data out to applications and affiliates.
- Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets in DLA business systems and applications.
- Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
- Leverage big data technologies to efficiently process very large datasets and creating robust analytical tools that optimize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
- Work with stakeholders including the Executive, Product, Data Owners, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
- Bachelor's Degree
- 5 years of work experience as a Data Engineer, Data Scientist, Data Analyst, or similar role.
- 5 year's experience using software and tools including big data tools like Kafka, Spark, Hive, and Hadoop HDFS; Microsoft SQL Server, relational NoSQL and SQL databases including Cassandra and Postgres;
- 5 years experience with building and optimize data sets, ‘big data’ data pipelines and architectures. Extract, Transform, and Load (ETL) data into a database.
- 5 years experience with analytical tools like SAS Viya, Qlik, PowerBI, and Anaconda;
- 5 years experience building processes that support data transformation, workload management, data structures, dependency, and metadata.
- 5 years experience with DevSecOps factory applications like GitHub, Nexus Repository, and Nexus Firewall.
- 5 years experience performing root cause analysis on external and internal processes and data.
- 3-5 years experience with object function/object-oriented scripting languages including Python, R, Scala, C , and Java. Strong analytical and communication skills.
- 3-5 years workflow management and pipeline tools such as Airflow, Luigi and Azkaban;
- 3-5 years AWS close services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm.
- 3-5 years with Python, R, or other programming languages, especially for data manipulation and analysis, and ability to build and write clear code, document, maintain, and deploying sequences of automated processes with these tools and stored in a version control system.
- MUST HAVE a minimum of one certification from EACH of the following lists.
1. DoD 8570 certifications are highly preferred: CCNA-Security, CySA , GICSP, GSEC, Security CE, CND, or SSCP
2. DLA Approved certifications are highly preferred: AWS Certified Solutions Architect Associates (SAA 003 exam), AWS Certified Solutions Architect Professional, AWS Certified Security Specialty, Microsoft Certified Architect MS SQL Server, Microsoft Certified: Azure Administrator Associate (AZ-104 exam) or other e following certifications are highly preferred: CCNA-Security, CySA , GICSP, GSEC, Security CE, CND, or SSCP
- DoD or DLA experience
- 3-5 years' experience working with DLA business enterprise solutions (e.g., EBS, FLIS, EDW, DAAS, WMS), DLA systems (e.g. WAWF, ETID, SAM, DIBBS), and Non-DLA systems (e.g., GSA, IGC, 3PL, Syncada, etc.) highly preferred.
- Master's Degree
- PMP certification
- Ability to work to tight deadlines and deliver a compliant product.
- Analytical and energetic nature, driven desire for efficiency.
- Effective problem identification and solution skills
- Ability to document, plan and execute programs.
- Strong ability to work within a team.
- High Performer
Job Summary
Full Time
Business Services
$126k-155k (estimate)
03/09/2024
05/08/2024
dngspt.com
LAKE RIDGE, VA
25 - 50
2006
MARK JONES
<$5M
Business Services
Related Companies
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Big Data, Data Warehouse, 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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