Data Engineer Analyst (WDP)

Bespoke Technologies, Inc.

Herndon (VA)

On-site

USD 52,000 - 68,000

Full time

13 days ago

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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

BT-156 – Data Engineer Analyst (WDP)

Skill Level: Entry/Junior

Location: Chantilly/Herndon

MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.

Role Description:

This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.

Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.
Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.
Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).
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