Data Engineer Analyst (TS/SCI Cleared) - Entry Level

Bespoke Technologies, Inc.; Herndon (VA); On-site; USD 52,000 - 68,000; Full time

Job summary

Bespoke Technologies, Inc. is seeking an entry-level Data Engineer Analyst to help build and maintain large-scale data pipelines on a government data platform.

You will learn from senior engineers, support pipeline operations, and ensure data quality and reliability through monitoring and documentation. The role requires a foundational knowledge of data concepts, SQL, and Python, with exposure to Databricks, Snowflake, and cloud storage services.

Qualifications

• 0–2 years of experience or relevant internship in a technical or data-related field.
• Bachelor's degree in a related discipline as listed.
• Basic knowledge of SQL and at least one scripting language (Python preferred).
• Foundational data concepts including databases and ETL.
• Strong problem-solving and proactive learning attitude.
• Familiarity with cloud data platforms such as Databricks, Snowflake, AWS S3, or Azure Data Lake.
• Awareness of metadata management and data governance concepts.

Responsibilities

• Assist senior engineers in developing and maintaining data pipelines.
• Monitor pipeline performance and respond to alerts under supervision.
• Run predefined scripts for data ingestion and transformation.
• Conduct data quality checks and document results.
• Participate in Agile/Scrum ceremonies and contribute to lifecycle learning.
• Create and maintain technical documentation for data processes.

Skills

SQL

Python

Data concepts

Problem solving

Willingness to learn

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline

Tools

Databricks

Snowflake

AWS S3

Azure Data Lake

Job description

Bespoke Technologies, Inc. is seeking an entry-level Data Engineer Analyst to help build and maintain large-scale data pipelines on a government data platform.

You will learn from senior engineers, support pipeline operations, and ensure data quality and reliability through monitoring and documentation. The role requires a foundational knowledge of data concepts, SQL, and Python, with exposure to Databricks, Snowflake, and cloud storage services.