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Data Engineer at SAIC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, Data Quality, Databricks, Hadoop, Spark, SQL, Python, Apache Kafka, Apache Airflow, Cloud, AWS Glue, Azure Data Factory

Industry

Defense and Space Manufacturing

Description

oin SAIC in supporting our enterprise data and analytics initiatives. As a Data Engineer, power the data. As a Data Engineer, you’ll build and maintain ETL pipelines, ensure data quality, and support environments like Databrricks, Hadoop, and Spark. This position is contingent upon award expected September 2025. Position will be located in Washington, DC at the customer site. May offer remote work upon award. Duties and Responsibilities: Design and maintain data pipelines and environments for initiatives Build and maintain ETL pipelines Ensure data quality and integrity Support Databricks, Hadoop, Spark environments Integrate cloud-based data tools Education and Experience: Active Secret Clearance, or ability to acquire one Bachelor’s degree in data science, statistics, computer science, or related, or equivalent and 5+ years of related experience 5+ years of data engineering experience Proficient in SQL, Python, Apache Kafka/Airflow Cloud experience (AWS Glue, Azure Data Factory) Preferred Qualifications: Databricks certification DHS/DoD background

Responsibilities

As a Data Engineer, you will design and maintain data pipelines and environments for various initiatives. You will build and maintain ETL pipelines, ensuring data quality and integrity while supporting environments like Databricks, Hadoop, and Spark.