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CAD Engineer
Job in
Orlando, Orange County, Florida, 32885, USA
Listed on 2025-12-01
Listing for:
Alignedgovernmentservices
Full Time
position Listed on 2025-12-01
Job specializations:
-
Engineering
Data Engineer
Job Description & How to Apply Below
Responsibilities
- 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 based on mission needs and objectives.
- Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
- Optimize data pipelines ensuring scalability, reliability, and high-performance processing, as well as providing innovative solutions to troubleshoot complex data-related problems with large datasets.
- Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience.
- 2+ years of data engineering experience.
- 2+ years of experience with ETL processes and technologies such as Data Bricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
- 2+ years of experience in government consulting.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations:
Atlanta, GA;
Charlotte, NC;
Dallas, TX;
Gilbert, AZ;
Houston, TX;
Lake Mary, FL;
Mechanicsburg, PA;
Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations. - Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel.
- AWS, Azure and/or Google Cloud Platform Certification.
- Experience working with agile development methodologies such as Sprint and Scrum.
- Strong problem-solving skills and ability to solve complex data-related issues.
- Data governance experience.
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