Opening for Business Data Analyst :: Contract :: Wilmington, DE

Delaware City, DE, US • Posted 17 hours ago • Updated 43 minutes ago

Contract W2

Contract Independent

On-site

Fitment

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👾 Reticulating splines...

Job Details

Skills

Mysql
DynamoDB
Glue
Lambda
Airflow
Cassandra
Basic Qualifications: Masters Degree in a quantitative or technical field. Proven experience building and running ETL pipelines in a production environment. Expert-level proficiency in Python and SQL
specifically for data manipulation and automated testing. Experience with relational and non-relational databases (Postgres
or similar). Preferred Qualifications: Experience building automated QA frameworks for data validation. Hands-on experience with AWS services (S3
IAM) to support serverless data processing. Familiarity with data orchestration tools (e.g.
Prefect) and version control (Git). Experience handling unstructured data (JSON) and transforming it for structured reporting.

Summary

Note: Only W2 Candidates will be Considered.

Types of Work:

ETL Development & Data Engineering...

Design, develop, and maintain robust ETL pipelines to aggregate and transform raw data into actionable datasets for control execution.
Optimize complex SQL queries and Python scripts to improve data processing speed and reliability across various database environments (Postgres, Snowflake, etc.).
Integrate disparate data sources-including unstructured JSON and relational warehouses-into a unified data layer for risk reporting.

Automated Data Validation & Scripted QA...

Build and execute automated QA test suites using Python (e.g., PyTest, Great Expectations) to validate data completeness, accuracy, and timeliness.
Develop "Data-as-Code" testing frameworks to catch anomalies or schema drift before they impact downstream control processes.
Perform unit and integration testing on ETL code bases to ensure the logic reflects the underlying business and system rules.

Data Governance & Lineage...

Manage data repositories and CI/CD pipelines to ensure seamless and governed deployment of data assets.
Drive adherence to data quality principles, including automated metadata capture and technical lineage mapping.
Evaluate integration points to ensure SQL logic accurately captures the state of the systems being reported on.

General Responsibilities:

Pipeline Optimization: Identify bottlenecks in data delivery and implement Python-based solutions to automate manual data work.
Technical Partnership: Collaborate with Engineering and Ops to translate control requirements into technical specifications for ETL workflows.
Strategic Problem Solving: Use a quantitative mindset to solve data gaps, leveraging Python libraries for deep-dive analysis into data anomalies.
Communication: Clearly articulate technical risks and data discrepancies to non-technical stakeholders to drive remediation.

Basic Qualifications:

Master's Degree in a quantitative or technical field.
Proven experience building and running ETL pipelines in a production environment.
Expert-level proficiency in Python and SQL, specifically for data manipulation and automated testing.
Experience with relational and non-relational databases (Postgres, MySQL, DynamoDB, Cassandra, or similar).

Preferred Qualifications:

Experience building automated QA frameworks for data validation.
Hands-on experience with AWS services (S3, Glue, Lambda, IAM) to support serverless data processing.
Familiarity with data orchestration tools (e.g., Airflow, Prefect) and version control (Git).
Experience handling unstructured data (JSON) and transforming it for structured reporting.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90806069
Position Id: 2026-12607
Posted 17 hours ago

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Opening for Business Data Analyst :: Contract :: Wilmington, DE

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